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TABLES FOR STATISTICIANS
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EDITED BY
KARL PEARSON, F.R.S.
GALTON PROFESSOR, UNIVERSITY OF LONDON
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PREFACE
|~ AM very conscious of the delay which has intervened between the announce-
ment of the publication of these Tables and their appearance. This delay has
been chiefly due to two causes." First the great labour necessary, which largely
fell on those otherwise occupied, and secondly the great expense involved (a) in
the calculation of the Tables, and (b) in their publication. This matter of expense
is one which my somewhat urgent correspondents, I venture to think, have entirely
overlooked. It is perfectly true that only one single Table in this volume has
been directly paid for, but a very large part of the labour of calculation has been
done by the Staff of the Biometric Laboratory, whose very existence depends on
the generous grant made to that laboratory by the Worshipful Company of
Drapers. Our staff is not a large one and it has many duties, so that the progress
of calculation has of necessity been slow. Even now I am omitting projected
Tables, which I can only hope may be incorporated in a later edition of this
work, e.g. Tables of the Incomplete B- and T-functions, and the Table needed to
complete Everitt's work on High Values of Tetrachoric r when r lies between
— - 80 and — TOO. It would only satisfy my ideal of what these Tables should be,
had I been able to throw into one volume with the present special tables,
extensive tables of squares, of square roots, of reciprocals and of the natural
trigonometric functions tabled to decimals of a degree. Logarithmic tables are
relatively little used by the statistician to-day, which is the age of mechanical
calculators, and he is perfectly ready to throw aside the fiction that there is any
gain in the cumbersome notation of minutes and seconds of angle — a system
which would have disappeared long ago, but for the appalling 'scrapping' of
astronomical apparatus it would involve. But the ideal of one handy book for
the statistician cannot be realised until we have a body of scientific statisticians
far more numerous than at present. Statisticians must for the time being carry
about with them not only this volume but a copy of Barlow's Tables, and a
set of Tables of the Trigonometrical Functions.
vi Tables for Statisticians and Biometricians
Beside the cost of calculating these Tables, to which I have referred, must be
added the cost of printing them. I had to do this slowly as opportunity offered
in my Journal Biometrika, and the Tables as printed were moulded, in order
that stereos might be taken for reproduction. Even as it is, there are a number
of Tables in this volume, either printed here for the first time (e.g. Tables of the
Logarithm of the Factorial and of the Fourth Moment), or published here for the
first time (e.g. Tables of the G(r, v) Integrals), the setting up of which has
naturally been very expensive.
From the beginning of this work in 1901* when the first of these Tables was
published and moulded, I have had one end in view, the publication, as funds
would permit, of as full a series of Tables as possible. It is needless to say that
no anticipation of profit was ever made, the contributors worked for the sake
of science, and the aim was to provide what was possible at the lowest rate we
could. The issue may appear to many as even now costly ; let me assure those
inclined to cavil, that to pay its way with our existing public double or treble
the present price would not have availed; we are able to publish because of the
direct aid provided by initial publication in Biometrika and by direct assistance
from the Drapers' Company Grant. Yet a few years ago when a reprint of these
Tables in America was only stopped by the threat to prevent the circulation of
the book in which they were to appear entering any country with which we had
a reasonable copyright law, I was vigorously charged with checking the progress
of science and acting solely from commercial ends ! Meanwhile without any leave,
large portions of these tables have been reprinted, sometimes without even citing
the originals, in American psychological text-books. Two Russian subjects have
reissued many of these Tables in Russian and Polish versions, and copies of their
works in contravention of copyright are carried into other European countries.
It does not seem to have occurred to these men of science that there was any-
thing blameworthy in depriving Biometrika of such increased circulation as it
obtained from being the sole locus of these Tables, nor did they see in their
actions any injury to science as a whole resulting from lessening my power to
publish other work of a similar character. It is a singular phase of modern science
that it steals with a plagiaristic right hand while it stabs with a critical left.
The Introduction gives a brief description of each individual table ; it is by no
means intended to replace actual instruction in the use of the tables such as
* When issuing their prospectus in the spring of 1901 the Editors of Biometrika promised to
provide " numerical tables tending to reduce the labour of statistical arithmetic"
Preface vii
is given in a statistical laboratory, nor does it profess to provide an account
of the innumerable uses to which they may be put, or to warn the reader of the
many difficulties which may arise from inept handling of them. Additional aid
may be found in the text which usually accompanies the original publication of
the tables.
In conclusion here I wish to thank the loyal friends and colleagues — Dr W. F.
Sheppard, Mr W. Palin Elderton, Dr Alice Lee, Mr P. F. Everitt, Miss Julia Bell,
Miss Winifred Gibson, Mr A. Rhind, Mr H. E. Soper and others — whose un-
remitting exertions have enabled so much to be accomplished, if that much is
indeed not the whole we need. I have further to acknowledge the courtesy
of the Council of the British Association, who have permitted the republication
of the Tables of the G (r, v) Integrals, originally published in their Transactions.
To the Syndics of the Cambridge Press I owe a deep debt of gratitude for
allowing me the services of their staff in the preparation of this work. Pages and
pages of these Tables' were originally set up for Biometrika, or were set up afresh
here, without the appearance of a single error. To those who have had experience
of numerical tables prepared elsewhere, the excellence of the Cambridge first proof
of columns of figures is a joy, which deserves the fullest acknowledgement.
Should this work ever reach a second edition I will promise two things,
rendered possible by the stereotyping of the tables : it shall not only appear
at a much reduced price, but it shall be largely increased in extent.
KARL PEARSON.
Biometric Laboratory,
February 7, 1914.
Errata
The reader is requested to make before using these Tables the following corrections on
pp. 82, 83, 84 and 85 :
For 177 VF2i and 177 sfFs 2 at the top of the Tables read 1-177 ViVSi and 1-177 V#2 a .
When you can measure what you are speaking about and express it in
numbers, you know something about it, but when you cannot measure it, when
you cannot express it in numbers, your knowledge is of a meagre and unsatis-
factory kind.
Lord Kelvin.
La theorie des probabilites n'est au fond que le bon sens reduit au calcul ;
elle fait appr£cier avec exactitude ce que les esprits justes sentent par une sorte
d'instinct, sans qu'ils puissent souvent s'en rendre compte.
Laplace.
ERRATA, ANTE USUM DILIGENTER CORRIGENDA.
Introduction.
p. xiii. Equation (i) cancel the + sign which follows A 3 w > or replace by - sign,
p. xiv. For Equation (vii) bis
ff i i(u -u 1 + u_ l + u i ) + 6%(5u 1 -5u -u_ l -u i )+u a -u (6) = 0,
read 2 i (-2« -Mi + «-i+»2) + <5i( 5 "i- 3M o- U-i-u 2 )+u -u (d) = O,
and add : " This equation is most effectively dealt with by finding the value of
%-«o(d)
and C 2 remain unchanged.
On p. xxxvi. Lines 3 — 9 while correct for the illustration actually given as table (3)
on p. xxv, are of course incorrect for the true unit of 1000 houses. The statement in
Lines 19 — 23 with regard to the houses building or built is incorrect ; there is very marked
positive association. We must now include the house-data, and Lines 26 — 27 should
read : " If we regard these four tables the order of ascending association judged by either
or <7 2 is (3), (4), (5), (2) as against Mr Yule's (2), (3), (4), (5)."
p. xlvii. Line 6. For 4th -071,162 read 4th -073,116.
p. xlviii. Table column (i), 22nd Line of figures. For 45 read 5-0, and for S(x) at foot
read S(y).
p. xlix. Line 1. For &i = 10e read 6 1 = 10c l .
p. lv. Formula (xlii).
For log CJft/ ) = -0399,0899 + etc.,
read log ( F Jft^ ) = 0-399,0899 +etc.
p. lx. Table, 4 = 2, B = ". For (21-556) read (31-556).
„ A=2, 5 = 8. For (12-202) read (13-202).
p. lxii. Line 11.
„ -67449^ , -67449^
For _^. 2ftMld _^z fc ,
read -67449 2,3, and -674492,3,.
p. ixiii. The two solidi have been dropped in the biquadratic :
For ft (8ft- 9ft - 12) (4ft - 3ft) = (10ft- 12ft - 18) 2 (ft +3)*,
read ft (8ft - 9ft - 12)/(4ft - 3ft) = (10ft - 12ft - 18) 2 /(ft + 3) 2 .
p. lxv. Formula (lxxvi)
For S ft 20,^ = 205 -etc.,
read Ftp, 2s 2 ^/s, & = 2ft - etc.
p. lxxv. Table, column Nvi, 3rd line. For 38 read 36.
p. lxxvii. Line 2. For " We look out 5-8 in Table L. " read " We look out 5-8 in Table LI."
p. lxxx. Line 5. For e -<-«*i g rea d e -4.560c e_
p. lxxxiii. Line 13 from bottom. For 2-371,76665 read 2-371,6665.
Text of Tables.
p. 13. Table V, H-S41. For X 2 = "03172 read -03072.
pp. 82, 83, 84 and 85. For Vll-JN^ and f*77«/Fj, at the top of the Tables read 1-177nA^2,
and 1-177 ViV : 2 2 .
p. 92. Table XLVIII.
>r m = 20\
?rc = 20J 1
51-2195
read ra = 20\
m = 20J 1
51-2195
25-6098
25-6098
2
12-4765
2
12-4765
3
5-9099
3
5-9099
4
2-7154
4
2-7154
5
1-2068
5
1-2068
6
•5172
6
•51 72
7
■0839
7
•2130
8
•0315
8
•0839
9
•0112
9
•0315
10
•0037
10
■0112
11
•0012
11
•0037
12
•0003
12
•0012
IS
•oooi
13
•0003
U
•0000
U
•0001
15
—
15
•0000
p. 126. Table LI V. For r = 2, <£° = 5, log H(r, ») = -106,5985,
read log H(r, »)- -196,5985.
p. 141. „ For r = 45, <£°=44, log F(r, v ) = -483,7836,
read log F(r, v) = 7-483,7836.
p. 142. „ For r = 50, <£° = 4, \ogH{r, v) = -932,5457,
read log H{r, v) = -392,5457.
p. 142. „ For r= 50, >° =31, log ff(r, v)= 933,2995,
read log H(r, v) = -393,2995.
p. 143. For log log e -637 7799 16.
read log loge T-637 7843 11.
The issue of this list of Errata has been intentionally delayed in order to make it as
complete as a wider use of the volume would render possible. The Editor will be as grateful
for further emendations, as he has been for the above.
CONTENTS
Preface
Introduction to the Use of the Tables .
PAGE
V
xiii
TABLES *
TABLE PAGE
I. Table of Deviates of the Normal Curve for each Permille of
Frequency xv 1
II. Tables of the Probability Integral : Area and Ordinate of
the Normal Curve in terms of the Abscissa . . xvii 2-7
III. Tables of the Probability Integral : Abscissa and Ordinate
in terms of difference of Areas ..... xvii 9-10
IV. Tables of the Probability Integral : Logarithms of Areas
for high Values of Deviate xxi 11
V. Probable Errors of Means and Standard Deviations . xxii 12-18
VI. Probable Errors of Coefficients of Variation . . . xxii 18
VII. Abac for Probable Error of a Coefficient of Correlation r xxiii 19
VIII. Probable Error of a Coefficient of Correlation : Table to
facilitate the calculation of 1 — r 2 . . . . xxiii 20-21
IX. Values of the Incomplete Normal Moment Functions, First
to Tenth Moments xxiv 22-23
X. Numerical Values and Graph of Generalised Probable Error xxv 24
XL Values of the Functions ^r„ i|r 2 , and ^ 3 required to determine
the constants of a Normal Frequency Distribution from
the Moments of its Truncated Tail .... xxviii 25
XII. Tables for Testing Goodness of Fit : 3 to 30 frequency
groupings ......... xxxi 26-28
* The Roman figures to the pages refer to the Introduction, where the Table is discussed, the
Arabic to the Table itself.
B. 6
Tables for Statisticians and Biometriciam
TABLE
XIII. Tables for Testing Goodness of Fit: Auxiliary Table A,
to assist in determining P for high values of x> .
XIV— XVI. Tables for Testing Goodness of Fit : Auxiliary Tables
B — D. Numerical values needed in the calculation
and extension of Tables of P .
XVII. Tables for Testing Goodness of Fit: Value of (-log P) for
high values of ^ 2 when the frequency is in a fourfold
Grouping .........
XVIII. Probability of Association on a Correlation Scale : Values
of (— log P) for an observed value of the Tetrachoric
Correlation r and the Standard Deviation of r for
zero Association .......
XIX. Probability of Association on a Correlation Scale : Values
of x 2 corresponding to Values of (- log P)
XX. Probability of Association on a Correlation Scale : Values
of log^; 2 corresponding to Values of Tetrachoric r
and a r .........
XXI. Probability of Association on a Correlation Scale : Abac to
determine
m^^^-Max-^5^., (ii) ,
where <£= 1-0. This is Everett's formula*. And lastly :
«. (0) = «. + ^ | (A«„ + Aw.,) + t ^ _ ?Ojl^ | ( A 3 M _, + A 3 u_ 2 ) . . . (iii),
where we work with the differences on or adjacent to the horizontal through x a .
* Journal of the Institute of Actuaries, Vol. xxxv, p. 452.
xiv Tables for Statisticians and Biometricians [Interpolation
It is very rarely indeed that we need go beyond second differences, often the
first will suffice. Not infrequently the inverse problem arises, namely we are
given u o (0) and have to determine from it. If we only go as far as second
differences, either (i) or (iii) gives us a quadratic to find and the root will
generally be obvious without ambiguity. Usually it suffices to find
and then determine from
0=( ( , O (0)- ? , O )/A"o+^ (1 2 7 0,) AV^'«. (iv);
or to find & = (h„(0) - «„)/£ (Ah„ + Am_,)
and then
6 - («. w - a.vi (a* + *o - f; HA ffXj (v) -
Very often good results are readily obtained by. applying Lagrange's inter-
polation formula which for three values of u reduces to
u o (0) = (l-0 1 )n v -^0(l-0)u^ l + ^0(l+0)u 1 (vi).
Or, we may use the mean of two such formulae and take
u o (0) = (l - 0)(1 ~ i0)r, o + \0 (o - 0) Ul -l0(l - 0)(u_ i + u 2 ) ... (vii).
The resulting quadratics are respectively:
0-- (J («, + m_,) - «„) + 1 \ («, - u_,) + U, - u, (5) = (vi) bis ,
and s ^ («, - «, + '/_, + m 2 ) + \ (5;*! - 5w — it_, - M,) + u, - m (0) = . . .(vii) bis .
(2) There are some tables in this book which are of double entry, e.g. those
for the Tetrachoric Functions and for the G (r, v) Integrals. The simplest solid
interpolation formula, using second differences, is :
«*,!, = «So + a*A«M + Z/A'wo,o
+ 4 {#(* - 1) AX,o + 2ay A A'w„,n + y(y-l) A%„) (viii>,
where A denotes a difference with regard to x, and A' with regard to y. But if
we consider u x + ('021) s = 0"0283. Since the probable error
* The term is usual, but inaccurate. Laplace had reached the probability integral and suggested
its tabulation several years before Gauss.
B. e
xviii Tables for Statisticians and Biometricians [II — III
= '67449 x standard deviation, we have the standard deviation of the difference
= 0"'04196. Hence the deviation in terms of the standard deviation
= 0-21/(0-04196) = 5-0048.
Table II, p. 8, gives the area |(1 + a) of the normal curve up to the abscissa x/a.
Noting the remark at the foot of the table, we have
*/ = -398,5241.
+ 48j
Or, we might proceed as follows: for the Poll-men £(1 - a) - -4817, hence
a = -0366. But from Table III, p. 9, which gives z for a :
« = -03, z = -398,6603
a = 04, z = -398,4408
= -66, A,= -2194
A,= -627.
Hence by formula (i) :
■RR y -«J4
*, = -398,6603 - -66 [2194] + — ~- [627]
- -398,6603'
- 1448 [• =-398,5225.
+ 70
We conclude therefore that z would be correct to five figures with second differ-
ences, and that for four figures, first differences from either Table II or Table III
will suffice.
If we use formula (ii) p. xiii — Everitt's formula — we find from Table II:
4 = 398,6233 - -58 [1793] + *§ *«" [397] + ^ * fl 8236 [398]
6
= -398,6233
-1040
+ 13
+ 5
and from Table III :
•398,5211,
*, = -398,6603 - -66 [2194] + I^IL**** [62 7] + 34 * ~ 8844 [627]
= 398,6603
-1448
+
+
37
31 )
•398,5223.
Working with formula (iii), Table II gives us z 1 m 398,5242 and Table III
z x = -398,5225 with second differences. We shall not therefore without higher
differences get from any of our formulae closer than -398,522 with a possible error
c2
xx Tables for Statisticians and Biometricians [II — III
of 1 or 2 in the last place. This is, of course, amply sufficient for statistical
purposes, where four figures as a rule would be sufficient.
Using formula (i) p. xiii we obtain :
z 1 = -39852, z 2 = -23450,
e, = -36275, e t - -00337.
Whence :
»»i = + ~t -,v~ o- = - '8273o- = - 76-84 mentaces,
"4817
•39852 - -36275 _„. 1I700
x lt = H — ^ **13 • • • ?'l
1 , ?'23 ... 7"o
' 111 > ' M
I'n-i > M
..(xvii),
.(xviii),
while jRpp and R pq are the usual minors.
^ 2 = constant is the "ellipsoid" of equal frequency in n-dimensional space.
The total frequency, i.e. the volume of the surface, inside any ellipsoid ^ is
I x =( X zdV
Jo
and
r ,,, V27rit„_i (y) c i
IJN = cT-rjr i o\ lf n be even
Xl 2. 4.6 ... (n — 2)
W.(x)
.(xix).
if « be odd
] .3. 5.. .(ft -2)
Thus a knowledge of the incomplete normal moment functions enables us
to predict for multiple variables whether an outlying observation consisting of
a system of n variate values is or is not reasonably probable.
If I X JN = \, we obtain the 'ellipsoidal' contour y,o within which half the
frequency lies. This x<> 1% fcne " generalised probable error " of Pearson and Lee.
IX— X]
Introduction
xxv
Values of the "generalised probable error" coefficients are given in Table X
for n = l to 11, and by means of a smooth curve the results may probably be
extended to ?! = 1 5. The values found for this extension are :
« = 12
n = 13
« = 14
n = 15
Xo
3-367
3-513
3-654
3-791
Illustration (i). Let us consider long bone data for Frenchmen. 1 = F= femur,
2 = H = humerus, 3 = T= tibia, 4 = R = radius*, then by formula (xviii) p. xxiv :
R =
Further in cms :
1, -8421, -8058, -7439
•8421, 1, -8601, -8451
•8058, -8601, 1, -7804
■7439, -8451, -7804, 1
to, = 45-23, o-, = 2-372,
to 2 = 33 01, a 2 = 1-538,
m, -36-81, 0-3 = 1-799,
to 4 = 24-39, o- 4 =l-170.
What is the chance that the following individual may be considered French ?
J" = 36-97, #' = 26-82, T'= 3056, i?' = 20-68.
The deviations in terms of their standard deviations are :
x x = (F' - to,)/o-, = - 3-482, x, = (//' - ?« 2 )/o- 2 = - 4-059,
x 3 = (T - mj/tr, = - 3-474, g> 4 = (R' - to 4 )/o- 4 = - 3-171.
Further :
R a
s =3-7810, -g? = 6-5496,
R
R. 2l
R
I!
R
ft
4-3406,
^ = 3-6508,
^23
= 20231, ^- 3 = 11404, ^ = 02130, ^=21946,
= 2-3175,
-74
R
= 0-6842.
Whence
X 2 = 16741,035 and x = 40916,
n is even, hence: I JN = ^iM 4 ^! 6 ) = ^2
■n-.m,,
* For particulars of these length measurements the reader must consult R. S. Proc. Vol. 61,
pp. 343 et seq. and Phil. Trans. Vol. 192, A, p. 180.
B. d
XXVI
Tables for Statisticians and Biometricians [IX — X
and from the Table, p. 22, we have by formula (i), p. xiii :
m, (4-0916) = -397,7378 + -916[3650] - \ (-916) (-084) [1043]
= 398,0682.
Hence I X I N = ^tt x '398,0682 = -9978.
Thus the odds are 9978 to 22, say 454 to 1 against a deviation-complex as
great as or greater than this occurring in a French male skeleton, i.e. the bones very
improbably were those of a Frenchman. Actually they were those of a male of
the Aino race.
Illustration (ii). The following are the ordinates of a frequency distribution
for the speed of American trotting horses*. It is assumed that they form a
truncated normal curve, and we require to determine (i) the mean of the whole
population, (ii) its standard deviation, and (iii) what fraction the ' tail ' is of the
whole population.
The values of frequency in an arbitrary scale are :
Seconds
Frequency
Seconds
Frequency
29—28
92-8
W—19
45-8
28—27
100-4
19—18
38-4
27—26
95-0
18—17
27-8
26—25
71-2
17—16
19-8
25—24
67-6
16—15
10-7
24—23
613
15—14
15-8
28—22
61-4
14— 13
7-9
22—21
44-8
13—12
5-0
21—20
44-5
12—11
2-1
11—10
5-6
Taking the working origin at 20 — 19 seconds, we find
sV = - 3-9214, ^' = 32-545,666
for raw moment coefficients. Hence, if d be the distance from 29 seconds, i.e. the
stump of the tail from the mean, and 2 the standard deviation of the tail about its
mean :
d = 95 - 3-9214 = 5-5786 sees.,
2* = „ 2 ' _ „/* = 17-168,288,
and accordingly 2 2 /e£ l = "5517.
If this value be compared with those for fa in Table XT, p. 25, it will be seen
that we have got slightly more than the half of a normal curve, i.e. not a true
tail. We cannot therefore use Table XI, but must fall back on Table IX.
* Galton, R. S. Proc. Vol. 62, p. 310. See for another method of fitting, Pearson, Biometrika,
Vol. n. p. 3.
IX — X] Introduction xxvii
Let x be the distance from stump to centre of curve, n equal the area of
truncated portion, and N be whole population. Then
njN= f + f -j== e'^dx' = \ + m {xjc
>-0
SO
so
i~
4
1
I
i
*
1
i
3
1
-=t"
1
i
1
i
1
,1
03
S3
1
1
t
1
1
1
to
1
to
1
Frequency ...
34
18
13
3
4
4
1
1
78
We find, with origin at — 3"45,
d = 1-8077 in } years and 2 2 = 27258.
Hence ^ 1 = 2 a /d a = -834.
The Table (p. 25) gives us /t' = 2186 and ^- 2 = 2*833. Hence the mean is at
distance from — 3'45 on left= 2 - 186 x — {m 2 (00 ) - m, (a;')} - ft?
Of course m, (oo ) — m l (x') is the z of Sheppard's Tables II and III.
Returning to our numerical example, we have from Table IX (p. 22) :
m, (-45905) = '030,6721 + '5905 [162049] - \ (-5905) (-4095) [26358]
= -039,9222,
m, (00 ) - m, (-45905) = -359,02.
Found directly from Sheppard's Tables, it equals '35905.
Similarly from Table IX (p. 23) :
m, (-45905) = '008,1136 + 5905 [73,162] - 1 ('5905) ('4095) [30661]
= 012,0630,
and m 2 (00 ) - m, ('45905) = '487,9370.
* It is the function used by Dr Alice Lee and myself, Biometrika, Vol. vi. p. 65 to form Table XI,
p. 25, but by an oversight not adequately distinguished in symbol from /», (x') of p. GO of the same memoir.
XI — XII] Introduction xxxi
We thus reach d = - the mean square contingency = x 2 /iV an< ^ */> i s the product-moment coefficient
on the assumption that the 'presence of the character' is to be considered as
a concrete unit*. The coefficient of mean square contingency C. 2 = ^°).
The following table gives the values of %-, -, j> and C' 2 , and the values of P
deduced.
X 2
2
*
c 2
P
(1) Datura
(2) Eye-Colour
| (3) Houses
(4) Imbecility and Deaf-Mutism
] (5) Defects and Dullness
•7080
133-3265
1-4393
8014-62
3256-797
•085,301
•133,327
•000,2125
•000,2464
•123,894
•2921
•3651
•0146
•0157
•3519
•2803
•3430
•0146
•0157
•3320
•8713
1 -035/1028
•6948
3-179/10 1739
2-846/10 700
For example, from Table XVII by Formula (i) we have for x"= 1333265 :
(- log P) = 20-809 + ™™* [10-770] - J (^f 65 ) ( 1G ^ 5 ) [-026]
= 27-985,
and therefore log P = 28-015,
which leads to P = 1 -035/1 28 .
Or again, for x~= 801462 :
-V,p-i»«. + !*-p»«n- t @«)(^ [ « fl
= 1738-498,
* Pearson and Heron, Biometrika, Vol. ix. p. 167.
(2
xxxvi Tables for Statisticians and Biometricians [XVII — XX
and therefore log P = 1739602,
and P = 3-179/10™.
In the first and third cases a different treatment must be used. For ^ = 14393
we use Table XII.
We have for n = 4 :
P = -801 253 + -4393 [- 228846] - $ (-4393) (-5607) [+ 48064]
= -6948.
Had we worked from Table XVII by Formula (i), we should have had
P = -6950.
For x 2 = -7080, we can use Table XII, remembering that for ^ 2 = 0, P = l.
We have
P = 1-000,000 + -708 [- 198,747] - } ('708) (-292) [- 30,099]
= -8624.
Had we worked from Table XVII by Formula (i), we should have had P = *865,
close enough for practical purposes.
The true value of P worked from
IV27T iv
•~ W * + ?S? # ~***)
by using Table II is P = "8713. See p. xxxviii.
Examining the values of P we see that having regard to the errors of random
sampling we can only say that there is no relation between rural and urban
districts and houses building or built ; there is clearly no ' distinct association,'
for in 69 out of 100 cases in sampling from independent material we should get
more highly associated results. There is likewise no association on the given
material in the Datura characters. The other three cases have clearly very marked
association, quite independent of any influence of random sampling. If we regard
these three tables the order of ascending association judged by either or C 2 is
(4), (5), (2), as against Mr Yule's (2), (4), (5). If we disregard the non-significance
and take merely intensity of association, without regard to random sampling, the
order is (3), (4), (1), (5), (2), as against Mr Yule's order (1), (2), (3), (4), (5).
The best method of inquiry at present for relative association in the case of
four-fold tables is, I hold, first to investigate P and throw out as not associated
those cases like the ' Houses, built and building ' above. Then to use either
" tetrachoric r t " or C 2 according as we are justified in considering the variates
as continuous or not. r P (see p. xxxvii) may be used as control.
Tables XVIII— XX (pp. 31—32)
Tables for determining the Equiprobable Tetrachoric Correlation r P . (Pearson
and Bell : On a Novel Method of regarding the Association of two Variates classed
XVIII— XX]
Introduction
xxxvu
solely in Alternate Categories. Draper's' Company Research Memoirs, Biometric
Series, vm. Dulau & Co.)
We have seen under the discussion of the previous Table how to find a measure
of the improbability of two variates being independent, when they are classed in
alternate categories. The difficulty in such cases is to appreciate the relative
importance of very large inverse powers of 10. The object of the present tables is
to enable us to deduce a tetrachoric correlation, r t , of which the improbability
is the same as that of the given system supposing it to arise, when the two
variates have the same marginal frequencies but are really independent. In order
to do this we have to determine . If we now turn
to our original table and calculate its rf, this as we have seen will correspond
to a given (— log P). We now make the (— log P) from our ^ 2 correspond to the
(— logP) from our r t and „a,., this gives us a value of r t which has the same degree
of improbability as our observed table. In other words, instead of trying to
appreciate the meaning of inverse high powers of 10, we say that a table of the
same marginal frequency would be as improbable if it had a tetrachoric correlation
r t arising from random sampling of independent variates. Thus we read our
improbability on a scale of tetrachoric correlation. We use our correlation merely
as a scale to measure probability on.
As log% 2 provides a more satisfactory basis for interpolation, and as many
readers use logarithm tables and not calculators, log^ 2 will be the form in which
X 1 will be often presented. Table XX provides the value of r t corresponding to
given a r and given log % 2 .
We will assume for the present that „cr,. can be readily found from the marginal
totals : see p. xli below.
Illustration. Obtain the values of r P for the five tables given above on
pp. xxxiv — v.
The values of log^ 2 and cr r are as follows:
log x"
a"r
(1) Datura
(2) Eye-Colour, Father and Son
(3) Houses in Course of Erection
(4) Imbecility and Deaf-Mutism
(5) Developmental Defects and Dullness
T-8500
2-1249
•1582
3-9039
3-5128
•1941
•0514
•0634
•0175
•0201
Of the values here recorded for log ^ 2 and 5j
(xxxii).
Substituting the values of n a,. = -1941 and V2wt = 4-852,107, we have for
r =03, P= -90550,
r = -04, P= -86501.
Whence for P = -87133, we have r = -038.
We now turn to the three cases which fall inside Table XX.
(2) Eye-colour, Father and Son.
log x 2 = 2-1249 „<7, = -0514,
r = 0-5 log x" - 2-0942
n0 -, = 0o ^ = o f) j^ ^ = 2 2748
r-06 log x 2 = 2-1239
^,-•06 5=0 . 7 i og%2= 2-2935.
Linear differences will suffice
„=-851.
We have accordingly the following results :
•2803
•3430
•0146
•0157
•3320
P
r P
r t
Q
(1) Datura
(2) Eye-Oolour
(3) Houses
(4) Imbecility and Deaf-Mutism
(5) Defects and Dullness
•8713
1 -035/10 28
•6948
3-179/10" 39
2-846/10 706
•038
■529
•027
•946
•851
-•188+ -140
•550+ -027
- -081 + -043
•330+ -012
■652+ -009
-•282
•581
-•190
•907
•846
1
It will be seen that equiprobable r P confirms generally the results from P, i.e.
the tables for 'Datura' and ' Houses' give no sensible association. r t also confirms
this view and shows that ' Houses ' is even lower in the scale than ' Datura.' The
order of r P is the same as that of Yule's coefficient of association Q, but neither
r r , r t , G lt P or Q support the conclusions stated to flow from the percentages on
xl Tables for Statisticians and Biometrieians [XXIII — XXIV
p. xxxiv. Both r P and Q give very high results for (4) and (5), and this is in accord-
ance with the view elsewhere expressed that for extreme dichotomies Q is not to
be trusted. It may further be doubted, whether for such dichotomies the theory
of the distribution of deviations on which r P is based can in its turn be accepted.
On the whole r t seems to me the most satisfactory coefficient of association, to be
controlled by results for r P in the cases where neither the dichotomies are extreme,
nor the numbers so large or so small as to fall outside the moderate range of
Tables XVIII— XX or Abacs XXI and XXII.
Abacs XXI and XXII (pp. 33—34).
Sec after Tables XXIII and XXIV.
Tables XXIII and XXIV
Tables for determining approximately the probable error of a tetrachoric
correlation. (Pearson, Biometrika, Vol. IX. pp. 22 — 27. Tables calculated by
Julia Bell, M.A.)
Given a tetrachoric table
a
b
a+b
c
d
c + d
a + c
b + d,
N
so arranged that a + c > b + d and a i- b > c + d,
then if |(1 + *) - (o + b)/HT, 4(l+a,) = (o + c)/JV,
and r t be the correlation, we have approximately :
Probable error of »•«->#. %r t • Xo, ■ Xa 2 >
where Xi = '67449/ViV
and is tabled in Table V, p. 12,
_ vni+» 1 )i(i-« 1 ) Y „ y*g+*)i(i-Q / xxxiii x
H and K being found from the z column of Table II, p. 2, and
Xr t
■n
z V 1 -( ! lr ! )' «-«*
sin _1 rj being read in degrees. % a and ^ a are tabled in Table XXIV and Xr in
Table XXIII (p. 35).
This value of the probable error is only approximate aud may diverge con-
siderably from the true value* for extreme dichotomies. In such cases the full
formula must be used.
* Phil. Trans. Vol. 195, p. 14. Xo i° formula (') should of course not be included under the radical.
XXIII— XXIV]
Introduction
xli
When r t is zero in the population and not in the sample, the standard deviation
tr r of r = is given accurately by -= % a % ai> .
Illustration (i). Tetrachoric r t for the Table
22,793
1,186
1,420
888
24,213
2,074
23,979
2,308
26,287
is '652. Find approximately its probable error.
From Table XXIII :
r = 6.5, X.- = '6785 ; r = "66, X >- = '6675.
.-. x,- = '6785- 0110 x -2 = -6763.
Now 4(1+ a,) = '9211, 4(1 +«2> = '9122.
Hence from Table XXIII,
Xa, - l'»249 + 11 [754] = 1-8332,
Xa, = 1'7623 + -22 [626] = 17761,
X ai X ai = 3'2559.
Xi cannot be found from Table V in this case as N is beyond its range. But it
equals
•67449/V26287 = -67449/162-13 = -00416.
Thus finally p.e. of r t = 00416 x -6763 x 32559
= 009.
Illustration (ii). Find the value of 's in the table on p. xxxvii were
found.
B. /
xlii Tables for Statisticians and Biometricians [XXI, XXII
Abac XXI (p. 33)
For determination of the standard-deviation of the correlation coefficients obtained
by random sampling from a four-fold table in which the correlation is zero.
(Drapers' Company Research Memoirs, Biometiic Series, vm. G. H. Soper's Abac.)
Method of use : Enter with the total frequency of the sample on the left-hand
scale, and with the first value of \ (1 + o) on the bottom scale. The horizontal
through the former and the vertical through the latter meet at a point. At this
point pass up the diagonal to the left-hand scale again. Where you meet that
scale pass along the horizontal until you meet the vertical through the second
value of | (1 + a). Then from this point pass along the diagonal again to the left-
hand scale, whence traverse the horizontal to the right-hand scale and there the
required value of cr r may be read off.
Illustration (i). Find the value of cr r for the case just given of
JV=1000, ^(1+« 1 ) = -619, |(1 + a„) = -622.
The vertical through '619 meets the 1000 horizontal in a point whose diagonal
reaches the left-hand scale almost exactly in 620. Whence passing horizontally
we reach the vertical through - 622 in a point about midway between two diagonal
lines. Passing up midway between these two diagonals, we reach almost exactly
the 380 line on the left-hand scale. Passing across to the right-hand scale along
this line, we see that we are slightly above the middle of the division between
•050 and '052, say '0512. The actual value of a r is "0514.
Illustration (ii). Let
JV=-6771, |(1 + «0 = -7399, |(1 + a 2 ) = '9908.
A similar process gives first 450 ou left-hand scale and then about 248, whence
crossing to right-hand scale we find cr r = - 0635 instead of "0634 actual.
Abac XXII (p. 34)
Abac to determine from log %' 2 and a r the value of the equiprobable correlation
r P ,for a fourfold table. (Drapers' Company Research Memoirs, Biometric Series,
vm. G. H. Soper's Abac.)
The rule is very simple : Enter the Abac with the proper value of a r on the
scale at the foot and rise on the vertical till the horizontal through the proper
value of log^ 2 on the left-hand scale is reached. Then follow the curve through
the meet of these two lines to the right-hand scale, where the requisite correlation
will be found inscribed.
Illustration. Take the Table for Eye Colour in Father and Son given on
p. xxxiv. Here, as just shewn, ov="0514 and (p. xxxvii) log^ 2 =2'1249. If we enter
with the vertical through - 0514 on the scale at the bottom, and the horizontal
through 2 - 1249 on the left-hand scale, the curve through their point of intersection
reaches the right-hand scale just below the "53 mark, say "529. This agrees with
the correlation found above (p. xxxviii) by interpolation from Table XX.
XXV]
Introduction
xliii
Table XXV (p. 36)
Value of the probability that the mean of a small sample of n, draiun at random
from a population following the normal law, will not exceed (in the algebraic sense)
the mean of that population by more than z times the standard deviation of the
sample. ("Student": Biometrika, Vol. vi. p. 19.)
When n is greater than 10, it will be sufficient as a rule to use the approximate
result
v^^3 r - <»-**■
P= . e 2 dx (xxxv)
V27T J -a°
as a measure of the probability. This may be found from Table II.
Illustration (i). Experiments of A. R. Cushney and A. R. Peebles on the
difference in effect of Dextro-hyoscyamine hydrobromide and Laevo-hyoscyamine
hydrobromide*.
Additional Hours of
Patient
Sleep
(Laevo - Dextro)
1
+ 1-2
2
+ 2-4
3
+ 1-3
It
+ 1-3
5
6
+ 1-0
7
+ 1-8
8
+0-8
9
+4-6
10
+ 1-4
Mean
+ 1-58
Standard Deviation
1-17
+ 158
Table XXV shows that for ^=135:
P = -99854,
or the odds are 666 to 1 that leavo- is a better soporific than dextro-hyoscyamine
hydrobromide.
Illustration (ii). Difference in weight of crops of potatoes grown by Dr Voelcker
with (i) sulphate of potash and (ii) kainite as artificial manure.
* Journal of Phytiology, 1904.
/2
xliv
Tables for Statisticians and Biometricians [XXV
Gain by sulphate of potash.
1904 (a) 10 cwt. 8 qr. 20 lbs.
(b) 1 ton 10 cwt. 1 qr. 26 lbs.
1905 (a) 6 cwt. qr. 3 lbs.
(b) 13 cwt. 2 qr. 8 lbs.
Average gain=15'25 cwt., and the standard deviation = 9 cwt.,2=15'25/9 = 1'694.
Here n = 4, and Table XXV gives us
P = -9653 + 0-94 x [46] = -9696,
or the odds are about 32 to 1 that the sulphate of potash is a better dressing than
kainite for potatoes.
Illustration (iii). Test whether it is of advantage to kiln -dry barley seed
before sowing. The following table gives price of head corn in shillings per
quarter for 11 sowings, the first seven in 1899 and the last four in 1900.
Not Kiln-dried
Kiln-dried
A
1899 ■
1900 •
26-5
28
29-5
30
27-5
26
l 29
29-5
28-5
30
28-5
26-5
26-5
28-5
29
27
26
26
28-5
28
29
28
1-5
1
1
0-5
3
1
0-5
1
0-5
Mean
Standard Deviation
—
•91
•79
* x dec.
Here
and if
The Gaussian curve gives
*-JZL
a; = -91/-79 = 1-1519,
x = »/VI/8 = 1-1519 x 2-8284 = 3-258,
1 /-S-258 , , 2
P = ^L[ e-** da?,
which evaluated by Table II, p. 6, gives
P = -99944,
or the odds are 2845 to 1 in favour of not kiln-drying seed barley.
XXVI]
Introduction
xlv
If we had actually worked with the non-approximate formula, we should have
found
P=-9976,
or odds of 416 to 1, considerably less than the approximate formula provide, but
not enough difference to vitiate any conclusion likely to be drawn in practice*.
Table XXVI (p. 37)
Table for use in plotting Type III Curves, i.e.
-v-(, as\ p
.(xxxvi)
(W. P. Elderton, Biometrika, Vol. II. p. 270.)
Rule : Taking p for the curve, multiply the values in the Table by p in
succession on the machine with p on as multiplier. Then subtract the results from
the logarithm of y , and we have the logarithms of the ordinates of the curve at
the abscissae found by multiplying X in the first column of the Table by a of the
curve. The curve can then be plotted. Its origin will be the mode. It is usually
quite unnecessary to use the whole series of ordinates, either alternate ordinates
will suffice, or we cut off one or both tails at a considerable distance from their
tabulated values.
Illustration. The frequency curve of barometric heights at Dunrobin Castle is
given by the curve
on.Qqoq X I r \ 22-9323
The range X = — '65 to +"90 is easily seen to be sufficient. Column (i) of
the accompanying table gives aX for these values, the second gives
22-9323 x (log 10 (1+X)-X log* e) ;
* The three illustrations above are drawn from "Student's " original paper. He gives (I. c. p. 19)
the values for P as drawn from the Gaussian for n = 10 to compare with those obtained from the full
formula. They are, — corrected for slips :
z
Full Formula
Gaussian
z
Full Formula
Gaussian
■1
•61462
•60411
1-1
•99539
•99819
■2
•71846
•70159
1-2
•99713
■99925
■3
•80423
•78641
1-3
•99819
•99971
■4
•86970
•85520
1-4
•99885
•99989
■5
•91609
•90691
1-5
■99926
•99996
■6
•94732
•94375
1-6
•99951
•99999
■7
•96747
•96799
1-7
•99968
—
■8
•98007
•98285
1-8
•99978
■9
•98780
•99137
1-9
•99985
■
1-0
•99252
•99592
20
•99990
—
Clearly even for n = 10, the Gaussian ascends too rapidly in P, and this must be borne in mind in
deducing conclusions for z = l and upwards when n = ll to 20, say.
xlvi Tables for Statisticians and Biometricians [XXVI — XXVIII
actually these values are negative and must be subtracted from log y„, i.e. T.592,621;
the resulting values are given in the third column. In column (iv) are given
the autilogarithms of the numbers in column (iii), and these must be plotted to
the values in column (i) to obtain the graph of the curve which is a good fit.
(i) (ii) (iii) (iv)
x=aX l>[log 10 (l
+ .Y)-jnoge]*
log;/
y
- 9-77 2
474,991
- -882,370
•13
- 8-88 1
923,630
- -331,009
•47
- 7-99 1
472,368
•120,253
1-32
- 7-11 1
103,755
•488,866
3-08
- 6-22
804,557
•788,064
6-14
- 5-33
564,456
1-028,165
10-67
- 4-44
375,287
1-217,334
16-49
- 3-55
230,493
1-362,128
23-02
- 2-67
124,683
1 -467,938
29-37
- 1-78
053,386
1 -539,235
34-61
- 0-89
012,888
1 579,733
38-00
o-oo
000,000
1-592,621
39-14
0-89 !
012,039
1 -580,582
38-07
1-78 !
046,713
1 -545,908
35-15
2-67
101,957
1 -490,664
30-95
3-55
176,074
1-416,547
26-09
4-44
267,482
1-325,139
21-14
5-33
374,828
1-217,793
16-51
6-22
496,920
1-095,701
12-47
711
632,702
■959,919
9-12
7-99
781,189
•811,432
6-48
8-88
941,509
•651,112
4-48
9-77 1
112,905
•479,716
3-02
10-66 1
294,689
•297,932
1-99
11-55 1
486,196
•106,425
1-28
12-44 1
686,831
- -094,210
•80
13-32 1
896,111
- -303,490
•50
14-21 2
113,510
- -520,889
•30
15-10 2
338,613
- -745,992
•18
15-99 2
570,963
- -978,342
•11
Once the reader is used to the process it will be found to work readily, and the
same multipliers are kept on the mechanical calculator throughout.
Tables XXVII and XXVIII (pp. 38—41)
Tables of the Poivers and Sums of the Powers of the natural numbers from 1 to
100. (W. Palin Elderton, Biometrika, Vol. n. p. 474.)
These tables can be used in a great variety of ways, for example in finding the
roots of equations, or in fitting parabolae of various orders to curves.
Illustration (i). Find the positive root of the equation :
> (r) = 002,726r' + -057,149^ + •0l7,192»- 5
+ -083,578^ + -OSS^l?- 3 + •134,717»- 2 + r - "560,386 = 0.
* Actually these values are negative, and are therefore subtracted from log y to give (iii).
XXVII— XXVIII]
Introduction
xlvii
The positive root is less thau '56, but the term in r 2 shows that it must be less
than -.52. Take "52 and '50 as trials. From Table XXVII we have
1st -520,000 and 500,000,
2nd -270,400 „ -250,000,
3rd -140,608 „ -125,000,
4th -071,162 „ -062,500,
5th -038,020 „ -031,250,
6th 019,771 „ -015,625,
7th -010,281 „ -007,813.
Multiply out by the coefficients of (r), retaining the products always on the
arithmometer. We find
(-52) = + -016,384.
$ (-50) = - -008,990.
Interpolating r = "52 — Hff| x 2 = '5071,
which is correct to last figure.
Illustration (ii). Fit a cubic parabola to the data below, giving the average
age of husband to each age of wife in Italy (see Biometrika, Vol. II. p. 20). We
will suppose each observation to be of equal weight, — this is of course not the fact,
but it will illustrate the general method of fitting parabolic curves. In the paper
just cited illustrations are given up to parabolae of the sixth order. The object
here is to show the use of Table XXVII.
Age of
Probable Age
Age of
Probable Age
Age of
Probable Age
Bride
of Groom
Bride
of Groom
Bride
of Groom
15-5
25-0
25-5
27-0
35-5
36
16-5
25-2
26-5
27-5
36-5
37-0
17-5
25-4
27-5
28-0
37-5
38-5
18-5
25-5
28-5
29-0
38-5
39-5
19-5
25-5
29-5
30-0
39 5
41-5
20-5
25-5
30-5
32-0
40-5
41-5
21-5
25-75
31-5
33
41-5
42-5
22-5
26-0
32-5
33-5
42-5
43-5
23-5
26-0
335
34-0
43 5
43-5
24-5
26-8
34 5
34-5
44-5
43-5
■ —
—
—
■
45-5
43-5
The ages of groom have been taken as approximate means. Now we can take
our axis of x, the age of bride through 30'5, and the age of groom to be measured
from 32'0. x will accordingly range from —15 to +15, and the age 32 + y of
groom will range from y = - 7 to y=ll"5. We can now re-arrange the above
table in a form suitable for working on the following table. Then the squares,
cubes, and if necessary, higher powers of x are taken from Table XXVII, p. 38,
and are given as Columns (iii) and (iv) below. The entries in Column (i) are then
multiplied by those in (ii), (iii) and (iv) by continuous process on the machine, and
xlviii
Tables for Statisticians and Biometricians [XXVIII
it is not needful to enter separate products, the sums being reached which are
placed at the foot. Next from Table XXVIII we read off
8(x) = 0, £(0 = 2(S(15 2 )), S(tf) = 0, #) = 0, S(x«) = 2(S(U%
These give us :
8 (a?) = 2480, 8 (a?) = 356,624, S (x°) = 6096,5840.
We have now all the numerical data for a solution. Let the required cubic be
y — c + c 1 x + c 2 x* + c z x a .
Then we must make u = S (y — c — c v x — c.x* — c^x?)- a minimum. The resulting
equations are
S(y) - c,8 (1) + 0, S (x) + c,S (O + c 3 S («•),
8 (xy) = c„S (x) + Cl S (x*) + 0,8 (*») + c 3 S (x*),
S (x"-y) = c 8 (x*) + Cl S{o?) + c,S (of) + c,S (x>),
S (afy) = cS (x 3 ) + 'oJS-W + cS (^) + 0,8 («•>
(i)
(ii)
(hi)
(iv)
(v)
(vi)
(vii)
V
X
x-
.r 3
- 3375
xy
x-y
x'y
- 7-0
-15
225
■ _
- 6-8
-14
196
-2744
—
—
—
- 6-6
-13
169
-2197
—
—
—
- 6-5
-12
144
-1728
—
—
—
- (i-5
-11
121
- 1331
—
—
—
- 6-5
-10
100
-1000
—
—
—
- 6-25
- 9
81
- 729
—
—
—
- 6-0
- 8
64
- 512
—
—
—
- 6-0
- 7
49
- 343
—
—
—
- 5-2
- 6
36
- 216
—
—
—
- 5-0
- S
25
- 125
—
—
—
- 4-5
- 4
16
- 64
—
—
—
- 4-0
- 3
9
- 27
—
—
—
- 3-0
- 2
4
- 8
—
—
—
- 2-0
- 1
1
1
—
—
—
—
—
—
1-0
1
1
1
—
—
—
1-5
2
4
8
—
—
—
2-0
3
9
27
—
—
—
2-5
4
16
64
—
—
—
4-0
5
25
125
—
—
—
4-5
6
36
216
—
—
—
6-5
7
49
343
—
—
—
7-5
8
64
512
—
—
—
9-5
9
81
729
—
—
—
9-5
10
100
1000
—
—
—
10-5
11
121
1331
—
—
—
11-5
12
144
1728
—
—
—
11 "6
13
169
2197
—
—
—
11-5
14 '
196
2744
—
—
— .
11-5
15
225
3375
—
8(x) = 23 •(!.->
—
—
— '
S(xy) = 1833 -45
S(x 2 y) = 4560-35
S (xh/) = 248,807-85
XXVIII] Introduction
Write b = c , b, = 10c„, 6 2 =100c 2 , 6 3 =1000c 3 .
Then our equations are
•23650 = b„ x -31000 + b, x -24800,
1-83345 = b, x -24800 + 6 3 x -35662,
•45603 = b u x -24800 + b. 2 x -35662,
248808= 6, x -35662 + 6 3 x -60966;
giving b„ = - -58626, .-. c„ = - "58626,
6, = 1-686453, c 2 = -016,8645,
6, = 9-59613, c, = -959,613,
6 3 = -1-532,144, c 3 = - -001,532,144,
and the required cubic is
y= - -58626 + -959,613a; + -016,8645a? - 001,532,144^.
xlix
30
Age of Bride.
The graph of the cubic and the observations are given in the accompanying
diagram. If X and Y be the actual ages of bride and groom, then
Y = 61-30457 - 4-344.941Z + -157,0553Z 2 - -001,53214X 3 .
For higher parabolic curves fitted to the same data, see Biometrika, Vol. n.
pp. 21—22.
B. g
Tables for Statisticians and Biometricians [XXIX
Table XXIX (pp. 42—51)
Tables of the Tetrachoric Functions. (P. F. Everitt, Biometrika, Vol. VII.
pp. 437—451.)
The purpose of these tables is to expedite the calculation of tetrachoric r t , the
correlation coefficient from a four-fold table, when we suppose the variates to be
Gaussian in the law of their frequency.
Let the table be
a
b
a + b
c
d
c + d
a + c
b + d
lV'
where a is the quadrant in which the mean falls, then b + d and c + d are clearly
each less than ±N. Let
t = (b + d)jN = i (1 - aO, < - (o + d)/N = A ( 1 . - «,),
then d/N= t t ' + Tit/?- + t 2 t./?-' j + . . . + TnT„'r" + (xxxvii)
is the equation to determine r the tetrachoric correlation, and Table XXIX gives
the values for given t , i.e. ^(1— a) of the following six tetrachoric functions
ii, To ... t 6 , and further of h, the ratio of the abscissa of the dichotomic line to the
standard deviation of the corresponding variate.
It is occasionally needful to go beyond the first six tetrachoric functions. In
this case the following finite difference formula is available :
t„ = /tp„T„_, - f] fl T M (xxxviii),
where p n =l/'Jn, q n = (n - 2)/Vn(rc — 1) (xxxix).
The following table gives the values of p n and q n from n = 7 to 24.
11
Vn
fn
•77152
n
H
In
7
•37796
16
■25000
•90370
S
■35355
•80178
17
•24254
•90951
.9
•33333
•82496
18
•23570
•91466
10
•31623
•84327
19
•22942
•91925
11
■30151
•85812
20
■22361
•92338
13
•28868
•87039
n
•21822
•92711
IS
•27735
•88070
22
•21320
•93048
U
■26726
■88950
2S
•20851
•93356
15
•25820
•89709
«l
•20412
•93638
XXIX]
Introduction
li
Illustration (i). Find the correlation between dullness and developmental
defects as indicated in the following table for 26,287 children.
Without Defects
With Defects
Totals
Not Dull ...
Dull
22,793
1,186
1,420
888
24,213
2,074
Totals
28,979
2,308
26,287
Here
mtr = -078,898,
•in-jsr
/
T\ =
•1594,5,
/
T 2 =
•15268,
/
T 3 =
05431,
/
T 4 =
- 05137,
r 5 =
- -06755,
T, =
•00017,
£ =
1-35442.
mula
(xxxviii) fc
•05221,
/
T 8 =
•02486,
/
T 9 =
- 03185,
Tiu' =
- -03460.
t»' = «7 = -087,800,
Whence by interpolation from Table, p. 43 :
t, = -14712,
t„ = -14694,
t 3 = -05977,
r 4 =- 04262,
T , = - -00702,
To = - -00752,
h = 1-41253,
Proceeding to apply the difference formula (xxxviii) for four further functions
we have
Tr = -04770,
t 8 = -02985,
t, = - -02530,
t„, = - -03647,
Hence the equation for r is
•026,854 = -023,458r + -022,435r 2 + -003,246r 3
+ •002,189r 4 + -004,527r 5 - -OOO.OOl?- 6
+ •002.490?- 7 + 000,742r 8 + -OOO^Oer 9
+ -0()l,262r 10 .
Whence we find r = 652 ± -009.
Illustration (ii). Find the tetrachoric correlation for the four-fold table given
for Houses in course of Erection on p. xxxv. Here
| (1 - a,) = t = Jfff = -260,080 ; f(I - a,) = t 8 ' -jffr" -009,157.
By simple linear interpolation,
t, = '32442, t,' = -02468,
t 2 = -14753, t/ = -04116,
t 3 =- -07766, t : ,' = -04599,
t 4 =- 11015, t 4 '= -03048.
J/2
lii
Tables for Statisticians and Biometricians [XXIX
Hence the equation for r:
- 000,6093 = -008,007?- + -006,072?-- - -003,572?-"
- •003.357?- 4 .
Whence r=- 081 + 043.
Or, the association is not definitely significant.
Illustration (iii). Find the tetrachoric r for the Table of Bradford Parents :
Mother's Habits.
GO
• 1-4
M
Good
Bad
Totals
Good
994
67
1061
GO
Bad
159
476
635
fa
Totals ...
1153
543
1696
Here a brief experience will show the reader that to proceed by tetrachoric
functions will require a very large amount of labour.
We have
1(1- a,) = t = 543/1696 = '32017 ; \ (1 - a 2 ) = T „' = 635/1696 = -37441,
d/N= 476/1696 = -28066.
We have accordingly the following series of tetrachoric functions — the first
6 from the table, the remaining 18 from the difference formula.
djN
i(i-a)
n
T-2
T 3
U
Tj
**
•28066
•32017
•37441
•35769
•37901
■11817
•08581
-•11415
- -13887
- -09489
- -07178
■05674
•08288
•08012
•06325
rj
*-8
r»
TlO
Til
n«
ra
nt
- -02963
- -05629
- -06913
- -05709
•01368
•04034
•06032
•05223
- -00324
- -02957
- -05294
- -04819
- -00401
■02176
•04659
•04558
m
tig
*il
1-18
n»
Tao
m
T ti
•00922
- -01575
- -04103
- -04245
-•01304
•01103
■03609
•03966
•01586
- -00723
- -03167
- -03714
- -01793
•00411
•02768
•03484
T 23
T 24
h
—
—
—
—
—
•01944
- -00151
- -02407
- -03272
•46732
•32020
—
—
—
—
—
XXIX — XXX] Introduction liii
Considering only the equation as far as Everitt's Tables extend, we have
( r ) = - -16079 + 13557c + -01014r 2 + 01585r»+ , 0068lr* + -00470?- 5 + -00507?'" = 0.
This leads to r = 93G5, but the series indicates that the terms are far from
converging rapidly.
The first 12 tetrachoric functions were then used, the last six being found
by the table of p n and q n above, and the value of r was found to be - 9152.
Then 18 functions were used and gave r = -9114.
Lastly 24 tetrachoric functions were used, and the equation below obtained,
which led to r = '9105.
$ ( r ) = - -16079 + -13557r + 01014r 2 + -01585^ + -00681?- 4 + -00470c 5
+ OOSO?;- 11 + -00167r + -00395^ + O0055r« + 00315c 10
+ OOOlOr" + -00255c 12 - -00009c 13 + -00212-c" - -00015 c 13
+ 00174c 111 - 00014c 17 + -00143r 18 - -00011?- 19 + -00118?- 20
- -00057r 21 + -00096c 5 - - -00003c- 3 + -00079c 24 .
It will be seen that even with this very large amount of labour we cannot be
sure of having reached a final result*. To obviate this the following table was
constructed by Everitt, and there is no doubt that the extension of this table to
the whole range of correlation would much simplify the discovery of tetrachoric r t .
At present the calculation of high values of r t , for negative correlations is in hand.
Table XXX (pp. 52—27)
Supplementary Tables for determining High Correlations from Tetrachoric
Groupings. (P. F. Everitt, Biometrika, Vol. vm. pp. 385 — 395.)
Using the notation of p. 1,
d 1 /•»/•=>= - j —1— (a;2 + j, 2 _ 2raj ,)
"= == e 'i-H v * »' dxdy (xl)
in the case of a tetrachoric table, or
d _ J_ /""--to 1
N
= -Lf e'^Ydy
\l-lirh y
x. rr 1 f -hXdX ., , h-yr
where Y= — = e 2 , if t «-
^2-rrJt
.(xli).
Vl -r 2
* Mr H. E. Soper working out this example draws my attention to the fact that convergence is closely
given by a form : r n =r„ (1 + n .c"), where n is the number of terms used and a and c are constants.
Hence (r„ - r„ ) (r n+2m - r„ ) = (r n+m - r K ) 2 ,
r n + r n+2m _ 2)-„ t m
In our ease take n = 6, m = 6, and we find
°° r r , + r M -2r n
The value j- 24 is -9105. In this case « = -1567 and c = -7574, but we cannot assert that these would
be constants for all tables. If we use r V i, l"u and fjj, we find )•„ = -9102.
liv
Tables for Statisticians and Biometricians [XXX
Hence r, h being known, Fis a tabled integral for each value of Y. Accordingly
by aid of Table II we know
w
V2 7
, and using a quadrature formula, d/N can
be found for each value of h, k and r.
Table XXX gives, for r = -80, -85, "90, -95 and 100, and values of h and k
proceeding by •], the values of d/N. For given values of h, k and djN, we can
then find r by interpolation from these tables. The process is far shorter than
that required by Table XXIX when we have to proceed to many terms. Un-
fortunately opportunity has not yet arisen for fully completing similar tables
for r negative and over "80.
Illustration. Determine the correlation in habits between Mother and Father
in Bradford. The data are
Mother.
-
Pm
Habits Good
Habits Bad
Totals
Habits Good
Habits Bad
994
159
67
■176
1061
635
Totals
1153 543
1696
Here (b +d)/N= -32017, (c+d)/N= -37441, and therefore h = -46722, /„■ = -32020
from Table II. Also djN= 476/1696 = -28066.
Inspection of Table XXX shows that r will be likely to lie between -90 and -95.
We extract from the Table for d/N :
r=-90
h=i
ft = -5
*«=-3
•2943
•2784
•2728
•2602
r = -95
ft =-4
ft = -5
*=-3
k=-4
•3135
•2980
•2898
•2787
Hence :
»•= -90
ft =-4
!
ft= -5 |
tm -32020
•2911
•2703 i
r= -95
ft = -4
ft=-o
k= -32020
•3104
•2876
Tin
r=-90
ft = -46722
/•= -32020
•2771
r = -95
ft =-46722
£= -32020
•2951
XXXI] Introduction lv
We have now the desired h and k and have to interpolate djN = '280(36 between
•2771 and 2951. There results /•= -9099.
This is in excellent agreement with the value 9105 deduced from 24 terms, or
from the final value "9102, which can bo deduced from the 12, 18 and 24 term
values on the logarithmic rate of decrease hypothesis : see footnote p. liii.
Table XXXI (pp. 58—61)
The Y-Function. (J. H. Duffell : Biometrika, Vol. vn. pp. 43—47.)
It is well known that Y (x + 1 ) = *T (&•), and this property enables us to raise
or lower the argument of the T-function at will. As a rule in most statistical
investigations we require Y (x + \)jafe~ x . The following formula due to Pearson
will then be found to give Y(x + l)jx x e~ x with great exactness :
log (-^~) = -0399,0899 + i log x + -080,929 sin ^J 6 ^ . . .( x iii).
For values of x + 1 less than 6 and often for values less than 10, we find
log r (x + 1) or \ogY(p) from Table XXXI by reduction to^j between 1 and 2.
The reader's attention must be especially drawn as to the rules, given on
the Table itself, as to (i) characteristic, (ii) change of third figure of mantissa
at a bar, and (iii) the sign of the differences on the facing pages of the tables.
The difference tabled under 1144, say, is the drop from 1*144 to 1145.
Illustration (i). Find Y (2346).
By the reduction formula T (*2346) = r(l*2346)/*2346.
Hence log Y (*2346) = log Y (1*2346) - 1*370,3280.
log T (1*234) = 1-958,9685 A = - 1069,
log Y (1*235) = 1-958,8616 -6A = - [641*4].
.*. log T (1*2346) = 1-958,9685 - [641]
= T-958,9044.
log T (2346)= 1*958,9044
-1*370,3280
•588,5764
Or F (*2346) = 3*87772.
log r (87614) =
lvi Tables/or Statisticians and Biometricians [XXXII — XXXIII
Illustration (ii). Find r (8-7614).
T (8-7614) = 7-7614 x 6'7614 x 57614 x 47614 x 3-7614 x 2-7614
x 1-7614 T(l-7614).
•889,9401 + log T (1-7614)
•830,0366
•760,5280
•677,7347
•575,3495
•441,1293
•245,8580
Hence
= 4-420,5762 + log V (1-7614).
log T (1-7614) = 1-964,5473 + -4 [1113]
= 1-964,5918.
.-. log T (8-7614) = 4-385,1680.
T (8-7614) = 24275-49.
Table XXXII (pp. 62—63)
Table XXXIII, A and B (p. 64).
Subtense from Arc and Chord in the case of the Common Catenary. (Julia Bell
and H. E. Soper: see Biometrika, Vol. vni. pp. 316, 338, and Vol. ix. pp. 401—2.)
If c be the parameter of the common catenary, then we know that
y = c cosh u (xliii),
where u — xjc is its equation.
If the chord be 2x, then
subtense/chord = (y — c)/(2x)\
= (sinh frt ) 3 > (xliv),
u J
arc/chord = — ( x l v )>
arc — chord _ sinh u — u _ /3 / l - \
chord = u = 100 { } '
subtense _ (sinh \iif _ a / \ "\
chord ■■ "T~~~l00 ( ; "
Corresponding values of a and /3 are given in the Tables XXXII and XXXIII.
XXXIII A and B] Introduction lvii
Illustration (i). A cable of 132.5 is suspended over the gap between two
towers of the same height, 115 feet apart. What will be the droop of the cable ?
g-100< 18 ^* 18) -ll-52.
llo
Table XXXIII A, gives us a = 21-62 = 100 subtense/chord.
.-. subtense = 2162 x 115
= 24-86.
Thus the droop is 24-86 ft.
Illustration (ii). A catenary arch is to have a rise of 50 ft., centre line
measurement, and a span of 200. What is the length of the centre line ?
a =100 x 50/200 = 25-0,
but a = 25 by Table XXXII gives /3 = 151.
100 (arc — chord)/chord = lo'l.
.-. arc = 2302 ft.*
Illustration (iii). For some races the shape of the nasal bridge is very ap-
proximately a catenary. Thus if the nasal chord from dacryon to dacryon be
measured and also the tape measure from dacryon to dacryon, we obtain the
mesodacryal index @. The tables enable us to pass to the mesodacryal index a,
and thus ascertain the nasal subtense, which is slightly harder of direct measure-
ment than the arcual or tape measure.
In the skull of a male gorilla the mesodacryal chord was 22'6 mm., and the
mesodacryal arc 30 mm. Determine the mesodacryal subtense
S - 100 3 °- 22 ' 6 - 1Q0 * 7 " 4 - 32-74
/ *" 100 22-6 _ 226 - d27 *-
Hence, from Table XXXII :
a = 38-84 = 100 subtense/22'6.
.-. subtense = 22'6 x "3884 = 8-8 mm.
The actual value of the mesodacryal subtense measured ou the skull was
8'7 mm.
Abac XXXIV (p. 65)
Diagram to find the Correlation Coefficient r from Mean Contingency on the
Hypothesis of a Normal Frequency Distribution. (Pearson : Drapers' Company
Research Memoirs, No. 1, "On the Theory of Contingency.")
If n plJ be the frequency in the cell of the pth column and qth row of a correlation
or contingency table, and m p be the total frequency in the pth column, n q the
* Should there be any use for this table for constructional purposes, which there ought to be when the
value of the catenary arch is more fully recognised, I will in a later edition of this work give the value
of u corresponding to each f>, so that the parameter c can be at once read off and the form of the arch
readily plotted. It might also be desirable to give the values of a and /3 to two decimal places. We
have these data in our MS. copies.
B. ft
lviii Tables for Statisticians and Biometricians [XXXIV
total frequency in the gth row, and N the whole population, then if the two
variates are independent, the frequency to be expected in the p, qth. cell will be
A7" v 1l i v mp — n 1 m P
N N ~ N '
and the observed excess over this, i.e. n pq — 9 „ p , is termed the 'contingency' in
this cell. The total contingency must be of course zero, i.e. the sum of all the
cell contingencies. If, however, we take only the positive excess contingencies and
divide them by N, i.e. yjr = -== 2+ I n pg ? w £ ) > we obtain the so-called f mean
contingency.' On the assumption of normal frequency distribution it is possible
to deduce the actual correlation from yfr, provided that the cells are sufficiently
small for summation to replace integration. As in practice our cells are hardly
likely to exceed 8x8, and may be smaller and unequal in area, we shall generally
find a value below that of the true correlation, even if the system be accurately
normal. A corrective factor corresponding to the class-index correlation has not
yet been theoretically deduced. But experience seems to show that to add half the
correction due to class-index correlations gives good results. That is to say, that,
if r$ be the correlation found from the Abac, p. 65, and r xC and r xC be the class-
index correlations for x and y, we should take for the true correlation:
r = r+ + i
-i
r,
+
r xCjyC y
*
.(xlviii).
I'xCjyCyl
It is clear that this is the same thing as taking the mean of the crude mean
contingency correlation and its value as corrected for the class-index correlations.
The following illustrations may indicate the method of procedure.
Illustration (i). Find the correlation from the table on p. lix by mean
contingency. The first number in each cell is the frequency reduced to 1000, the
second number is that to be expected on the basis of independent probability, and
the third is the mean contingency of the cell.
The sum of the positive contingencies is 94136, hence the mean contingency
is '094. Entering the diagram with -094 on the base scale, we pass up the vertical
to the curve, and then along the horizontal to the left hand scale and find r^ = - 285.
The class-index correlation for the vertical marginal frequency is r yC ='9645,
and that for the horizontal marginal frequency is - 9624*. Hence
r*l(r xCx r yCy ) = -m,
and r = £ (-307 + -285) = -296.
The table is actually a true Gaussian distribution with correlation equal
to '300.
* Biometrika, Vol. ix. p. 218.
XXXIV]
Introduction
First Variate A.
lix
J 2
3
4
5+6
7
8
Totals
i
404 1716
(1-224) (10-948)
2-816 6-2n
7-55
(8-976)
-1-426
3-30
(6-120)
-2-820
0-91 0-92
(2-346) (3-434)
-1-436 -2-514
12
(0-952)
-0-832
34
%
17-41 123-59
(10-836) (96-922)
6-574 26-668
79-76
(79-464)
0-296
44-64
(54-180)
-9-540
14-61
(20-769)
-6-159
17-67
(30-401)
- 12-731
3-32
(8-428)
- 5-108
301
»1
01
8-86 93 00
3 (10-224) (91-448)
i -1S64 1'552
78-31
(74-976)
52 04
(51-120)
0-920
19-20
(19-596)
-0-396
26-40
(28-684)
-2-284
619
(7-952)
-1-762
284
•g
o
c
4
2-83
(4-932)
-2-102
37-73
(44-114)
37-24
(36-168)
1-072
27-51
(24-660)
2-850
10-95
C9-453)
1-497
16-31
(13-837)
2-473
4-43
(3-836)
0-594
137
GO
5 + 6
1-62
(3-780)
-2-160
25-21
(33-810)
-8-600
27-75
(27-720)
0-030
22 09
(18-900)
3-190
9-26
(7-245)
2-015
14-64
(10-605)
4-035
4-43
(2-940)
1-490
105
7
102
(3-528)
-2-508
19-50
(31-506)
-12-056
24-47
(25-872)
-2 -402
21-39
(17-640)
3-750
9-58
(6-762)
2-818
16-36
(9-898)
6-462
5-68
(2-744)
2-936
98
8
0-22 5-81
(1-476) ; (13-202)
-1-256 1 -7-S92
8-92
(10-824)
-1-904
903
(7-380)
1-650
4-49
(2-829)
1-661
8-70
(4-141)
4-559
3-83
(1-148)
2-682
41
Totals t 36
322
264
180
69
101
28
1000
Illustration (ii). Find r^ by mean contingency for the table on p. lx:
The sum of the positive contingencies is 169'846, or we have mean contingency
■v|r = -170, whence the diagram leads us to rj, = '480. The marginal frequencies are
the same as in Illustration (i). Thus we have
r = i (-517 + -480) = -499.
The table gives actually a true Gaussian distribution with correlation -500.
It will be seen from Illustrations (i) and (ii), that if the distribution be Gaussian,
even if the marginal frequencies are in fairly irregular groupings, ?-^ will be
reasonably close to the true contingency, and corrected as suggested above will
give excellent results.
hi
lx Tables for Statisticians and Biometricians [XXXV — XLVI
First Variate A.
i
2
3
4
5 + 6
7
8
Totals
i
7 38
(1-224)
6-156
19-85
(10-948)
8-902
► 4-94
(8-976)
-4-036
1-38
(6-120)
-4-740
0-26
(2-346)
-2-086
018
(3-434)
-3-254
001
(0-952)
-0-951
34
2
20 58
(10-836)
9-744
145-47
(96-922)
48-548
78-94
(79-464)
-0-524
35-98
(54-180)
-18-200
9'72
(20-769)
-11-049
9-27
(30-401)
-21-131
104
(8-428)
-7-388
301
0)
a
6 01
(10-224)
-4-214
93-63
(91-182)
2-182
85-41
(74-976)
10-4S4
54-34
(51-120)
8-220
18-59
(19-596)
-1-006
22-33
(28-684)
-6-854
3-69
(7-952)
-4-262
284
a
4
1-26
(4-932)
-3-672
31-81
(44-114)
-12-304
39-49
(36-168)
3-822
3103
(24-660)
6-370
12-29
(9-453)
2-837
17-36
(13-837)
3-523
3-76
(3-836)
- -076
137
o
0)
02
5 +
0-53
(3-780)
- 3-250
1811
(33-810)
-15-700
27-79
(27-720)
0-070
2514
(18-90)
6-240
1109
(7-245)
3-845
17-62
(10-605)
7-015
4-72
(2-940)
1-780
105
7
0-22
(3-528)
-S-308
1102
(21-556)
-20-536
21-59
(25-872)
-4-282
23-66
(17-640)
6-020
11-86
(6-762)
5-098
21-89
(9-898)
11-992
7-76
(2-744)
5-016
98
S
002
(1-476)
-1-456
2-11
(12-202)
-11-092
5-84
(10-824)
'-4-984
8-47
(7-380)
1-090
519
(2-829)
2-361
12-35
(4-141)
8-209
7 02
(1-148)
5-872
41
Totals
36
322
264
180
69
101
28
1000
Tables XXXV— XLVI (pp. 66—87)
Criteria for Frequency Types and Probable Errors of Frequency Constants.
(A. J. Rhind: Biometrika, Vol. vil. pp. 127—147 and pp. 386—397.)
It is desirable to consider all these tables under one heading, namely the
general investigation of frequency type and of the probable errors of frequency
constants.
The main lines of Pearson's theory of frequency are involved in the following
statements:
XXXV— XLVI] Introduction lxi
If the differential equation to the uni-modal frequency distribution be
1 di/ x — a , . . .
ydx f{x)
we may suppose f(x) expanded in a series of powers of x, and so
1 dy _ x — a ...
y dx c + c x x + c 2 x 2 + ... + c n x n +
then a, c , c lt c 2 , ... c H ... can be uniquely determined from the 'moment co-
efficients' of the frequency distribution. These constants are functions of certain
other constants /3 1; /3 2 — 3, /3 3 , /3 4 — 15, ... which vanish for the Gaussian curve, and
are small for any distribution not widely divergent from the Gaussian. Further
c , Ci, c 2 ...c n ... converge, if, as usual, these constants are less than unity, the
factors of convergence being of the order V/3-constant. As a matter of fact c„
involves the (n + 2)th moment coefficient, and thus we obtain values of the
c-constants subject to very large errors, if we retain terms beyond C,. If we stop
at c 2 then our differential equation is of the form
ldy = x-a y .
ydx Co + dx+CvX*
and we need only & = (ifff** and /3 2 = /J. 4 /fi«-, where fu, /li 3 , /j. 4 are the second, third
and fourth moment coefficients about the mean.
1 dij oc ■■ • ct
If we take the form — r- — . we reach the Gaussian, in which each con-
ydx c
tributory cause-group is independent, and if the number of groups be not very
large, each cause-group is of equal valency and contributes with equal frequency
results in excess and defect of its mean contribution. If we take — ^ = — ,
y dx c + CiX
then each contributory cause-group is still of equal valency and independent, but
does not give contributions in excess and defect of equal frequency.
Finally if we take - -M- ■ ■ : , then contributory cause-groups are
' ydx c + CiX + dx* J -.
not of equal valency, they are not independent, but their results correlated, and
further contributions in excess and defect are not equally probable. The use of this
1 di] sc — a
form - -~= was adopted to allow of this wide generalisation of the
y dx c + CiX + c 2 ar r °
Gaussian hypothesis.
If we adopt it, every /3-constant is expressible by means of the formulae :
A,(even) = ( M +l){i / S n _ 1 + (l+ia) y 8„_ 2 j/(l-H«-l)«) 0").
£„ (odd) =(n+ 1){£& A l -. + (l+i«)/S«- 2 }/(l-H»-l) a ) 0»i).
where a = (2ft-3ft-6)/08,'+3) (liv),
in terms of lower /S-constants.
lxii Tables for Statisticians and Biometricians [XXXV — XLVI
Table XLII, (a) — (d) gives the values of /3 8 , /3 4 , /3 6 and /3„ in terms of /?, and
/3». Hence as soon as /3, and /3 2 are calculated we can find the numerical values of
& = WsIh-2, &"*/%//*»*. 0, = ftuslfif, /3 = fi s /fi 2 4 (lv),
theoretically. Although these values will not be those which would be absolutely
deduced from the data themselves, they will, considering the large probable errors
of /i 5 , fi e , ft? and fi s be reasonable approximations to them. The values of the
probable errors of /3, and /3 2 are determinable by formulae involving /3,, /3 2 ... /3 8 .
From these formulae, Tables XXXVII and XXXVIII, giving the values of
V-ATXp, and ViVSp, have been constructed. Hence multiplying by ^ from Table V,
we obtain
•67449 - , -67449^
-—2^ and — j=r S ft
ViV Pl >JN
the probable errors of /3, and y8 2 .
If we add to the standard deviations of /8, and /3 2 , the correlation between
deviations in /3, and /3 2 , namely R^p,, which correlation is given in Table XXXIX,
we can find the probable errors of any functions of /3, and /3„. Two such important
functions are the distance d from mean to mode and the skewness sk of the
distribution. The probable errors of d and sk can be found from Tables XL and
XLI respectively, the former by multiplying the tabulated value viVSd/cr by crx^
(from Table V), and the latter by multiplying the tabulated value \/NS S k by %i
(from Table V).
Thus far we have only been concerned with the constants which describe
certain physical characters of the frequency distribution without regard to the
type of curve suited to the distribution. We now turn to the latter subject.
It is known that the type of frequency depends upon a certain criterion k. 2 .
Hence near the critical values of « 2 more than one type of curve may describe the
frequency witliin the limit of the probable error of « 2 . Table XLIII gives the
probable error of * 2 , if the entries in that table be multiplied by the ■& of
Table V.
The following are the series of Type curves which arise according to the value
of the criteria
«,-2&-8A-6 (Ivi),
, ft (ft + a? ( ivii)
/9 2 is by necessity >f&. Hence for our curves all possible values of f3 u /3 2 lie in
the positive quadrant between the lines /3 2 = J/3, and & = -^-/3, + 1, the latter being
if we go to /3 8 the limit of failure of Type IV, for its fi 6 becomes infinite. Beyond
the latter line distributions are heterotypic.
XXXV — XLVI] Introduction lxiii
Criterion Type Equation to Curve
*» = ft-0, &>S VII y = y *
( i+ 3 < iviii )-
K ., = Q ft = 0, ft = 3 Normal 2/ = 3/ e 2ff2 (lix).
«, = o ft = o, ft<3 n E y-8>(i-5) (*)•
* 2 = ft = 0, A<1'8 II b 2/ = yo _J_ i (ki).
- 1/ tan -1 -
S>0<1 IV ,j- s ,'- — ~ (Ixii).
*«!• V y=y e-yl x x-P (Ixiii).
a;,, > 1 < ao VI y = y (5.
lxiv Tables for Statisticians and Biometricians [XXXV — XLVI
IV or VIII, and as all these types at that point transform into each other, the
forms actually deduced will be almost identical, however different their equations.
But there will be other occasions when doubt as to the use of the simpler of two
curves may arise; for example if /Sj = '8, /3 2 = 4-15, are we justified in using
Type III as simpler than Type I ?
Now we have to remember that the variates &, /3 2 form a frequency surface, of
which the equation is
M - x * ( ftl . H. _ afiftftftflA
Z = - e 2(1-R%f>j\2tf + Xp* 2^ s ft J (ha)
and that the contours of this surface projected onto the j3 1 , /3 2 plane of
Diagram XXXV form a series of similar and similarly placed ellipses. Within
any one of these ellipses a certain amount of the volume of the &, /3 2 - frequency
lies, and therefore if this system of contours were properly placed round the /Si, /S 2
point on Diagram XXXV we could tell at once the probability that the given point,
owing to random sampling, should fall outside a given elliptic contour.
The ellipse which has for principal semi-axes 11772! and ri772 2 , where £, and
2 2 are the principal axes of the ellipse :
i - 1 (§L+£L- ?^A&\ rl n
R\p t VSft 2 2ft 2 2ft 2ft /
covers an area on which stands just one half the frequency, i.e. it is the ellipse
determined by the generalised probable error of two variates (see Table X, p. 24).
The semi-minor axis l'1772!and the semi-major axis l'1772 2 of this "Probability
Ellipse " multiplied by \/N are given in Tables XLIV and XLV respectively, and
Table XLVI gives the angle in degrees between the major axis of this ellipse and
the axis of /9 a . It is thus possible to construct from Tables XLIV — XLVI the
" probability ellipse" round a given point /3,, /3 2 > and to test the area within which
half the frequency lies. If the probability required be not \, but much less, then
we note that the probability, that a point will lie outside the ellipse with semi-
axes X2j and \2 2 is P = e ~ ^ x .
,_ -67449
Let \2 2 =1177v / iV r 2 2 x ^p (lxxii),
or
and
Hence
Accordingly
tu 2 *■ *■
"*" */Njq
\ 2 =
2 x -630,672,
p
— g-gX-315,336
logP =
---q x -136,949.
9 = 10
P = -0427,
g = 12
P = 0227,
2=15
P = -0088,
2 = 20
P = -0018.
XXXV— XLVI] Introduction lxv
Hence we select the grade of working probability we require, roughly 1 in 23,
1 in 44, 1 in 114 or 1 in 555, and this determines q. Divide iVthe total frequency
by q and look up in Table V, Xi f° r ^ll> multiply this by the 1177 ViV2 2 of
Table XLV, p. 84, and we obtain the semi-major axis of the required ellipse-
Multiply the same Xi by 1177 ViV2i of Table XLIV and we have the semi-minor
axis. We can then construct round the point ft, ft this ellipse and ascertain if
it cuts critical boundaries on Diagram XXXV, p. 66, the orientation being given by
Table XLVI, p. 86. Less accurately, but for practical purposes effectively, we may
work on Diagram XL VII, p. 88. We proceed just as before, to select our q and so
determine our \2 2 and \2i. Then we take the ratio of 2i/2 2 . We now pick out
of the ellipses on p. 88 the set having the nearest 2,/2 2 value and out of this set
the ellipse with the nearest \2 2 value of its semi-major axis. This ellipse or if
necessary an interpolated one is transferred to tracing paper and placed with its
centre at the given point (ft, ft), and its major axis touching the dotted curve. If
this ellipse does not cut a critical line, we can be certain that to the given degree of
probability the curve is of the type into the area of which its (3 U ft point falls.
It would be impossible in an Introduction to these tables to give the whole
theory of frequency curves*. But one or two formulae may be usefully placed
here for reference.
Distance d from mode to mean = , .. _ * ttt (lxxiii),
2 (oft, - 6ft -9)
Skewness sk = g '_^ & + _ (lxxiv),
JVV = ft (4ft - 24ft + 36 + 9ftft - 12ft + 35ft) (lxxv),
NZtf = ft - 4ft ft + 4ft 3 - ft/ + 16ft ft - 8ft + 16ft) (lxxv Us),
SftSfl.Eftp, = 2ft - 3ftft - 4ftft + 6ft 2 ft + 3ftft- 6ft + 12ft 2 + 24ft (lxxvi).
It is from the above formulae that the Tables now under discussion have been
calculated.
Illustration. The following percentages of black measured with a colour top
are stated to occur with the recorded frequencies in the skin colour of white
and negro crosses f.
Discuss the type of frequency curve suited to the data and determine the chief
physical constants of the distribution and their probable errors.
* The general theory is given in " Skew Variation in Homogeneous Material," Phil. Trans. Vol. 186
(1895), A, pp. 343—414: Supplement, Vol. 197 (1901), A, pp. 443—459; "On the Mathematical Theory
of Errors of Judgment," Phil. Trans. Vol. 198 (1902), pp. 274—279 ; "Das Fehlergesetz und seine
Verallgemeinerungen durch Fechner und Pearson," A Rejoinder, Biometrika, Vol. iv. pp. 169—212.
" Skew Frequency Curves," A Rejoinder to Professor Kapteyn, Ibid. Vol. v. pp. 168—171, and " On the
curves which are most suitable for describing the frequency of Random Samples of a Population,"
Ibid. Vol. v. pp. 172—175.
t Extracted from C. B. Davenport, Heredity of Skin Color in Negro-White Crosses, Carnegie
Institution of Washington, 1913.
B. *
lxvi Tables for Statisticians and Biometricians [XXXV — XLVI
The working origin was taken at 20, the centre of the group 18 — 22. The
centre of the first group at 1*47 % is i(20 - ]-47) = 3706 on the negative side of
the working origin and may be taken to contribute — 56, + 206, — 763, + 2830
Percentage
Frequency
Percentage
Frequency
0— 2*
15
43-47
45
3— 7
120
48—-,.'
24
8— 111
139
68—57
14
13—17
157
58—0..'
fi
18—32
158
63—67
3
23—27
139
68- ; .'
3
28--::
117
78 — 77
2
33—37
92
78- 8$
2
38—42
50
88 -87
—
to the first, second, third and fourth moments respectively. The working unit
being 5 °/ o , the raw moment coefficients arc :
vfm -567,2191, ■/,'« 7703,4990,
v,' = 28-982,5042, vl = 253-268,8730.
Whence transferring to mean and correcting, we have
Mean = 228361, a = 270156,
^,-7*298,428, fi 3 = 16-238,780,. ^=198-909,921.
These lead to
ft - -678,295, ft = 37 34,202,
«, = 2ft - 3/3, - 6 = - -566,483, k, = - 1-052,180,
tk = 495,087, Distance from Mean to Mode = d = 1-337,508.
These values, except the mean, are all in working units. Therefore in per-
centages of black :
a= 13-5078 and d = 6-6875.
We can now find the probable errors of these constants. We first want ^,
from Table V, but 1086 is outside the limit of n. We therefore take ^ 2 for 543
and have ^ = -02047, and we find ^ 2 = -014,47. We can repeat our constants with
their probable errors
Mean = 228361 ± 2765,- a = 135078 ± -1955.
Then from Table XXXVII,
ft = 3-7: ^2,, = 4-70 + !$$[2] = 4-71,
ft = 3-8 : ViV2 ft = 5-05 + f§§ [2] = 5-06.
Hence for ft = 37342 : >JN2 $< = 4-71 + f$& [35],
V J r 2 ft = 4-83.
* 4 at and 11 at 2, giving a mean at 1-47 %.
XXXV — XLVI] Introduction lxvii
Similarly from Table XXXVIII :
ft - 3-7 : \/Nl^ = 1202 - §{$[66] = 11-65.
ft = 3-8 : VFSfl, = 1360 - }$ [72] = 13-19.
Hence for ft = 37342: V^S^ = 11-6.5 + ^^[1-54],
\fNSp, - 12-18.
Thus we find, multiplying by ^ :
ft= -6783 + -0989,
ft = 3-7342 ±-2493.
It is clear that the ft and ft are significantly different from the Gaussian
ft = and ft = 3.
We next turn to the skewness, using Table XLI :
ft = 3-7: \/NZ sk = 1-98 + fff [21] = 2-10,
ft =3-8: VF2 8i = 1-88 + ffj [16] =1-97.
Hence for ft - 37342 :
/3 2 = 3-8 1-mVyS, -18- {|f [1]- 17-48,
& = 3-7342 M77VT2 2 = 15-43 + T 3 ^ [2] - 1611.
Thus: 2,/2 2 = 2-37/1611 = -147 = -15, say. Or, if we turn to Diagram XLVII
(p. 88), our system of ellipses is half-way between the 3rd (2 1 /2 2 = , 14) and the
4th (2i/2 2 = -16). Now if such a system of ellipses be traced off and centred at
the point /S, = '678, fi 2 = 3 - 734 on Diagram XLVII to the right and then the
major-axis be brought into parallelism with the dotted lines, we find that the
biggest of these ellipses \2 2 = 5 fails to reach the critical line III. But the
semi-major axis of the probability-ellipse is 11772 2 = 16-ll/v / iV= '493. Hence
we must conclude that it is more probable that the curve is of Type I than of
Type III. This is readily determined and is usually sufficient guide. Actually
the value of \2 2 must be about '6 before we get an ellipse to approximately touch
the Type III line. But 2 2 = -493/1-177 = -419, and accordingly \ = -6/-419 = 1-432,
which gives P = e~* x ='36 nearly, or the odds are 16 to 9 that the point would
not lie outside this contour. But if it did lie outside this contour, the chance
of its being on or over the Type III line corresponds to only a very small section
of the total frequency outside this contour. If we invert the problem and put the
system of ellipses on the nearest point of the Type III line we find that the odds
are very much in favour of the point ft = "678, ft = 3-734 lying outside such a
system. On the whole it is reasonable to conclude that Type I is properly used
although we should probably not get bad results from a Type III curve. In
some respects a suitable fit would be obtained by using Type I, and fixing its
XXXV — XLVI] Introduction lxix
start at zero*, but the vagueness of what is meant by ' percentage of black ' as a
factor, when the entire pigmentation of the skin probably arises from a single
melanin pigment, only varying in concentration in the pigment granules and in
the density of granules themselves. We have therefore contented ourselves by
fitting a Type I curve, as further illustration of the use of the tables in the
present work. The theory of fitting is given in the paper cited below f . Following
the usual notation we find :
r = 6 (& - /?, - l)/(3ft - 2ft + 6) = 21-7755,
e = r 2 /{4 + J/3, (r + 2) 2 /(r + 1)} = 57-764,468,
& 2 = A M- 2 (r+l)/e = (36-9391) 2 .
Hence: wi, = 2-0917, m 2 = 176838,
o, = 3-9071, a, = 33-0320,
an
(1
(g. \ 2-0917 / g. \17.683S
1 + 3^9071/ I 1 " 3¥032()J '
To find y since m* is large, we use the approximation to the formula:
f r(» tl +w 2 +l ) |
N(rn 1 + m i + 1) 1e _ < Ml+m °->(mi + inS m ^ lll *\
ro»._+i). (lxxvm >'
V* = 7, r, m , iu x
6
r (m, + i)i
1 to,"
...(lxxix)
1/ 1 l\
namelv -^ (m 1 +m 2 + 1) /to, + to 2 12 \m, + m 2 raj
" y ° 6 T (to, + I )/(«-"' m,"') V ^ ~ e
the evaluation of the two T-functious for to 2 + in* + I and to 2 + 1 following easily
by Stirling's Theorem. If we write Z = r(3-0917)/{e- M917 (20917) 20917 } we have
\ogZ= log2-0917 -2-0917 log 2 0917,
+ log 1-0917,
+ log T (1-0917),
+ 2-0917 loge.
From Table XXXI (p. 58) we find log T (1-0917) = T'979,8897 and log e is
given by Table LV (p. 143). Hence we determine, log Z = -576,5176. Evaluating
the rest of the expression for log y we have :
log 2/ = 2-233,3936,
2/„=171157.
Thus
our curve is
(m \ 20917 / +s {l-x)
J
i +m ~ s dx
\s \m —
[ X* (1 - x)i dx
J
These results can be evaluated as all the indices are integers and the series
C + C i + Cj+ ... + C s + ... expressed in the usual hypergeometrical form :
\ q + m \ n+ 1 j m p + l m(m-
\q~]n+m+'l \ + |1 q + m + |2
-1) (p + l)(p + 2)
(q + m)(q +m- 1)
2)(p+3)
in (m — 1) (m — 2)
ft
(q + m) (q + m-l)(q+m-2)
+
.(lxxx).
XLVIII]
Introduction
lxxi
If n be large and p not widely different from q, then results may be obtained from
the Gaussian curve, using as S. D. a/to™ -, but if either p/n or q/a be very
small and m or n are commensurable, this no longer holds*. The case, however,
of p and q widely different and n and m commensurable and themselves small
numbers frequently arises, especially in laboratory work or in the treatment of
rare diseases - !-. Tlie present table gives the evaluation of the hypergeometrical
series, formula (lxxx) above, for a series of values of m, n, p and q. It is not
sufficiently comprehensive to allow of very accurate interpolation in certain of its
ranges, but it has involved a large amount of work, and will undoubtedly be
of help till a more complete table can be calculated. Meanwhile if the reader
feels in doubt as to any interpolation, it is not a very arduous task to calculate
the result required from formula (lxxx) by aid of Table XLIX.
Illustration (i). In a batch of 79 recruits for a certain regiment four were
found to be syphilitic. What number of syphilitics may be anticipated in a
further batch of 40 recruits ?
Here n = 79, p = 4, q = 75 and m = 40. We must first interpolate in the
2> = 4 column on p. 97 between n= 100, m = 25, and n= 100, m = 50 for m = 40,
i.e. we must go ^| towards the m = 50 series, or we must add 0"4 times the first
series to 0'6 times the second series. We then repeat the same process for the
series for p = 4 and n = 50, in = 25 and n = 50, m — 50 on p. 95. There results :
Occurrences
»i=50, ?m = 40, p = 4
n=100, m = 40, p = i
6-8654
20-7406
1
13-5880
26
7023
2
16-3802
21
5249
S
15-7066
14
1138
4
13-2702
8
2460
5
10-3867
4
4566
6
7-7259
2
2637
7
5-5275
1
0886
8
3-8221
4977
9
2-5583
2171
10
1-6581
0906
11
1-0409
0362
12
•6332
0139
IS
•3734
0052
U
•2137
0019
15
•1188
0007
16 arid over
•1311
•0003
* For a full discussion of the subject : see Pearson, " On the Influence of Past Experience on Future
Expectation," Philosophical Magazine, 1907, p. 365.
t Tables recently published by Ross and Stott ("Tables of Statistical Error," Annals of Tropical
Medicine and Parasitology, Vol. v. No. 3, 1911), appear to be designed to meet such cases, but being
based on the Gaussian curve are, I think, very likely to lead the user to fallacious conclusions.
lxxii
Tables for Statisticians and Biometricians [XLVIII
We must interpolate between these two series for n = 79, that is we must take
0'42 times the first series and 0'58 times the second series. The results are
given below, and set against the direct calculation from formula (lxxx), using
Table XLIX.
By Interpolation.
Direct Calculation.
;i = 79, i> = i, »i = 40
n = 79, ;i = 4, m = 40
14-9130
12-6143
1
21-1943
21-9379
2
19-3642
22-5152
3
14-7828
17-6667
k
10-3562
11-6727
5
6-9472
6-8143
6
4-5578
3-6137
7
2-9529
1-7713
8
1 8940
■8118
9
1-2004
•3507
10
•7489
1436
11
•4582
•0560
12 ■
•2740
•0208
IS
■1598
•0074
u
•0908
0025
15
•0503
•0008
16
•0271
)
17
■0142
V0003
18 and over
i
•0140
)
The interpolation does not give a result very close to the actual series. For
example, not more than three syphilitics might be anticipated in 70 °/ of samples
of 40 by the interpolated series ; actually not more than 3 are to be expected
in 75 % °f samples. At the same time the result is much better than the
normal curve theory provides. In the latter case we have
Hence
Mean = 40 x 7 4 5 = 2 025,
Standard-Deviation = V40 x ^ x J|
(3-5 -2-025)/l-387 = 1-064
1-387.
and by Table II this value of x corresponds to |(1 + a) = -86, i.e. in 86 % per cent,
of samples of 40, we should have not more than 3 cases. It will be seen therefore
that (i) the values at the latter end of the Table are not close enough to obtain
very accurate results by interpolation, but (ii) that the Gaussian gives a still
poorer approximation.
Illustration (ii). Of 10 patients subjected by a first surgeon to a given
operation only one dies. A second surgeon in performing the same operation
on 7 patients, presumably equally affected, loses 4 cases. Would it be reason-
able to assume the second surgeon had inferior operative skill ?
XLVIII— XLIX]
Introduction
lxxiii
On p. 91, we have the series for p = 1 when n = 10 for the values m = 5 and
m = 10. Taking '6 of the first series and "4 of the second we have :
Interpolation j
rom
Actual Value from
Table. formula.
« = 10, m = 7, p = l
m = 10, m = 7, p = l
37-9762
35-9477
1
30-6704
31 -4542
2
17-3366
18-8725
S
8-2114
8-9869
4
3-5248
3-4565
5
1 -4446
1-0370
6
•5676
•2200
7
•1996
■0251
8
•0561'
—
9
•■0114
—
10
;-ooi2;
—
The chance that if the two surgeons are of equal skill 4 or more patients will
die out of the second surgeon's 7 operations is '058 by interpolation and '047
actually. Hence the odds against the occurrence are 16 to 1 by the table and
20 to 1 actually. It will be observed that interpolation gives small values at
impossible numbers of deaths, but these have to be reckoned in to obtain the
total number 100. That all seven patients should die under the second surgeon,
if of equal skill, involves odds of 500 to 1 about in the interpolation result, but
4000 to 1 about actually. On the Gaussian hypothesis in the original problem the
mean - 7 x & = -7 and the S. D. = V7 x ^ x ■& = ' 7 937, and (3-5 - -7)/-7937 = 3-52
roughly, or this corresponds to odds of about 4545 to 1 — which are wholly un-
reasonable. Thus the Table gives by interpolation odds of approximately the
right value, which may serve many useful purposes, for those who are unable to
work out the values required from formula (lxxx). At the same time it is clear
that a much larger Table with closer values of the quantities involved is desirable.
Table XLIX (pp. 98—101)
The Logarithms of Factorials. (Calculated by Julia Bell, published here for
the first time.)
This table was obtained by adding up in succession consecutive logarithms in
a table of logarithms to 12 figures. Not until the work was completed did we
realise the existence of the splendid table of C. F. Degen*, which was then used
to confirm our own results. De Morgan in his Treatise on the Theory of Probabilities
of 1837 published an abridgement to six decimals of Degen's Table of Factorials.
His values cannot, however, be trusted to the sixth figure of the mantissa. The
* Tabularum ad faciliorem et breviorem probabilitatis computationem utilum. Havniae, mdcccxxiv.
This gives the logarithms of the factorials up to 1200 with 18 figures in the mantissa.
B. *
lxxiv Tables for Statistician* and Biometricians [XLIX — L
use of a factorial table is extremely varied, especially in problems in probability
involving high numbers.
Illustration. In a certain district the number of children born per month
is 662 and the chance of a birth being male is '51 and of its being female "49.
Evaluate the chance that in a given month there should be an equal number of
boys and girls born, and compare it with the chance of the most probable numbers
(338 boys and 324 girls) being born.
The chance of equal numbers of boys and girls being born is :
1662
Therefore
1 a 331 i 1' 707 > 5702 1 + 1581714,6166
° g * " |+ 1-690,1961] -1383-941,4114
where the logs of the factorials are found from Table XLIX. Hence
logC' c = 200-660,64o3) -
+ 197-773,2042[ - i4Jd >»* ao
or G e = -027155, or once in about 36'8 months, say once in three years the records
may be expected to show equal numbers of boys and girls born in the month*.
The chance of the most probable number of boys and girls is given by
1662
o,„=(-5ir(-49r^24,
log G m = 338 x 1-707,5702 + 1581-714,6156
+ 324x1-690,1961- 709-645.9652
- 674-359,6453
= 200-782,2640)
+ 197-709,0051) SFW1 » awi -
Or C m = "030993, or the most probable numbers will only be born once in
32'3 months, or say once in two years and eight months.
We have C e /C m = "876, or the chance of equal boys and girls is 88% of the
chance of the most probable numbers of boys and girls.
Table L (pp. 102—112)
Tables of Fourth- Moments of Subgroup Frequencies. (Calculated by Alice Lee
and P. F. Everitt ; published here for the first time.)
In the usual method of determining the raw moments of a frequency, we take
moments about an arbitrary origin, which is towards the apparent mode and
* Actually of course the problem is more complex, because the number of children born per month
is not constant.
L]
Introduction
lxxv
multiply by plus and minus abscissae increasing by units — the 'working unit.'
Thus an error made in an early moment may be carried on to the later moments.
To control the results Table L was calculated a number of years ago, and from it
the fourth moments for such frequencies as most usually occur can be read off at
sight, and the raw fourth moment column thus tested before proceeding further.
(i)
(ii)
(iii)
(iv)
(v)
(vi)
(vii)
Head
Length
Frequency
Abscissa
AV,'
AW
AW
AV
Table L
171
1
-20
- 20
+ 400
- 8,000
+ 160,000
160,000
2
1
19
19
361
6,859 130,321
130,321
3
2
18
38
648
11,664 209,952
209,952
4
17
—
—
—
—
—
5
3
16
48
768
12,288
196,608
196,608
G
3
15
4:>
675
10,125
151,875
151,875
7
5
14
70
980
13,720 ' 192,080
192.080
8
7
13
91
1,183
15,379 i 199,927 199,927
9
12
12
144
1,728
20,736 '■ 248,832 j 248,832
180
13
11
143
1,573
17,303 , 190,333
190,333
1
17
10
170
1,700
17,000 i 170,000
170,000
2
28
9
252
2,268
20,412 183,708
183,708
3
24
8
192
1,536
12,288
98,304
98,304
4
43
7
301
2,107
14,749
103,243
103,243
5
53
6
318
1,908
11,448
68,688
68,688
G
57
5
285
1,425
7,125
35,625
35,625
7
55
4
220
880
3,520
14,080
14,080
8
68
3
204
612
1,836
5,508
5,508
9
83
2
166
332
664 1,328
1,328
190
1
2
85
96
102
- 1
+ 1
- 85
+ 85
+ 102
85
+ 85
+ 102
85
102
+ 102
+ 102
3
79
2
158
316
632
1,264
1,264
4
83
3
249
747
2,241
6,723
6,723
5
G
7
66
66
56
4
5
6
264
330
336
1,056
1,650
2,016
4,224
8,250
16,896
16,896
41,250
72,576
42,250
12,096
72,576
8
43
7
301
2,107
14,749
103,243
103,243
9
35
8
280
2,240
17,920
143,360 143,360
200
30
9
270
2,430
21,870
196,830 | 196,830
1
20
10
200
2,000
20,000
200,000 200,000
2
24
11
264
2,904
31,944
351,384 351,384
3
14
12
168
2,016
24,192
290,304 290,304
4
13
13
169
2,197
28,561
371,293 i 371,293
5
8
14
112
1,568
21,952
307,328 , 307,328
6
3
15
45
675
10,125
151,875 , 151,875
7
6
16
96
1,536
24,576
393,216
393,216
8
17
—
—
—
—
—
9
1
18
18
324
5,832
104,976
104,976
210
1
+ 19
+ 19
+ 361
+ 6,859
+ 130,321
130,321
Totals
1306
—
+
+
+
+
—
*2
lxxvi Tables for Statisticians and Biometricians [L — LI
The multiplication can therefore be done very rapidly and it suffices to re-examine
not the whole of the arithmetic but only those rows which do not agree with the
table.
Illustration. Calculate the first four raw moments of the distribution of head
lengths in 1306 non-habitual criminals on the previous page and test whether
they are correct.
This was an actually worked out case, and it will be seen that in this instance
only one slip was made — that of a wrong multiplication by 5 in the contribution
to the fourth moment of the frequency of head lengths 196. Often far more
serious blunders are found. Correction would be made and the columns then
added up on the adding machine. Two points should be noticed. First it is not
in practice necessary to copy out the results from Table L, — they are merely
compared on the table itself with the items in column (vii) and any divergence
noted. Secondly in actual practice, it would be quite sufficient to take 20 instead
of 40 sub-groups in this case. Sheppard's corrections would fully adjust for the
difference.
Table LI (pp. 113—121)
Tables of the General Term of Poisson's Exponential Expansion (" Law of
Small Numbers"). (H. E. Soper, Biometrika, Vol. x. p. 25.)
The limit to the binomial series
p n + np n-, q + "ft*" 1 ) p»-Y + "^"^t^V -Y + Oxxxi),
when q is very small, but nq = m is finite, was first shewn by Poisson to be
m' m? m
X
.. lit no ill/ \ ,i ..\
1+w + i.2 + T7273 + - + .n + "J ( lxxxll >-
The present table provides the value of the terms of this series, i.e. e~ m m x jx !
to six decimals for m = O'l to m = 15 by tenths.
A previous table for m = O'l to m = 10 to four decimals has been published by
Bortkewitsch*, but his values are not always correct to the fourth decimal.
Poisson's exponential limit to the binomial has been termed the " Law of Small
Numbers " by Bortkewitsch, but there are objections to the term. The approxi-
mation depends on the smallness of q (or, of course, p) and the largeness of n, so
that the mean m is finite. Thus 100 murders per annum might be quite a "small
number," if they occurred in a population of 40,000,000, for n would be large and
q would be small. It is therefore space and time which has limited the present
table to m = 15, not the idea of m being small of necessity.
Illustration (i). The number of monthly births in the Canton Vaud being
taken as 662, and one birth in 114 being that of an imbecile, find the chance of 12
or more imbeciles being born in a month.
* Das Gesetz der kleinen Zahlen, Leipzig, 1898.
LI— LII]
Introduction
lxxvii
/113 1 \ m
The binomial is I —^ + -— J . n is accordingly large and q small, while
nq = 58 nearly. We look out 5"8 in Table L and sum the terms for 12 and beyond.
We find the chance of 12 or more = -01595. Actually worked from the binomial,
it is '01564. Or about once in five years, we might expect in Canton Vaud a
month with 12 imbecile births*.
Illustration (ii). Bortkewitsch (loc. cit. p. 25) gives the following deaths from
kicks of a horse in ten Prussian Army Corps during 20 years, reached after
excluding four corps for special reasons:
Annual
Frequency
Frequency
Deaths
Observed
Poisson's Series
109
108-72
;
65
66-22
2
22
20-22
3
3
4-12
4
1
■63
5
—
•08
and over
—
•01
Totals ...
200
200
The mean m of the observed frequency is '01, whence using Table LI (p. 113)
and taking - 9 the series for 0'6 and "1 times the series for 0*7, we reach figures,
which multiplied by 200 give us the column headed " Frequency, Poisson's Series "
above. Such good agreement, however, is very rare. A good fit to actual data
with the Exponential Binomial Limit is not often found. Its chief use lies in
theoretical investigations of chance and probable error : see Whitaker, Biometrika,
Vol. x. p. 36.
Table LII (pp. 122—124)
Table of Poisson's Exponential for Cell Frequencies 1 to 30. (Lucy Whitaker,
Biometrika, Vol. x. pp. 36—71.)
Given a cell in which the frequency is n s corresponding to the population N.
Then if n, anil N are very large (or we suppose, without this, the individual to be
returned before a second draw), the number in this sth cell will be distributed in
M samples of in according to the binomial law
* See Eugenics Laboratory Memoirs, XIII. ' ' A Second Study of the Influence of Parental Alcoholism,"
p. 22.
Ixxviii Tables for Statisticians and Biometricians [LII
The mean will be mn s /N and the standard deviation a / m ~ ( 1 — -X\ . If
we
only have a single sample of m and do not know the distribution in the actual
population we are compelled to give n s /N the value »i s /to, where m, is the number
found in the sth cell of the sample. If n s jN or m s /m be very small and m large«
the binomial will approach Poisson's Exponential Limit, and in such cases the
deviations in the samples for the sth cell will be distributed very differently from
those following a Gaussian law, and the usual rule for deducing the probability of
deviations of a given size by means of the probability integral fails markedly.
It is not till we get something like 30 out of 1000 in a cell that we can trust the
Gaussian to give us at all a reasonable approach. The present table endeavours
to provide material in the case of cell frequencies 1 to 30, which will supply the
place of the probability integral.
Illustration (i). Suppose the actual number to be expected in a cell is 17,
what is the probability that the observed number will deviate by more than 5
from this result? Looking at p. 123 we see that in 8-467 °/ Q of cases there will be
a deviation in defect of G or more and in 9 - 526 °/ of cases a deviation in excess of
6 or more. Hence in 17'993 °/ say 18 °/ o of cases we should get values less than
12 or greater than 22. Thus once in every 5 or 6 trials we should get values
which differ as widely as G or more from the true value.
Now look at the matter from the Gaussian standpoint. The standard
deviation is
y»"(>-")V"> :
a.
■ml
Here m is supposed large compared with 17, so that the S. D. = V 17 = 4 - 123
nearly. But suppose m = 800, we should have
S. D. = Vl7 (1 --02125) = Vl7 x -97875 = 4-079.
Now we want deviations in excess of 5, i.e. we must take 5'5/4079 = 1348.
If we turn to Table II we find for this argument
| (1 + a) = -9102 or \ (1 - a) = '0898.
Hence we should conclude that in not more than 17"96 % of cases would deviations
exceed ± 5. Actually such occur in 17'99 % °f cases. Thus the actual per-
centages are very close, but the Poisson series tells us that 8 - 47 °/ of cases will
be in defect and 9'53 % m excess, while the Gaussian gives 8-98 % in both excess
and defect. We may further ask the percentage of times that 17 itself would
occur; according to the Gaussian it will occur in 9*76 % of trials, actually it will
occur in 9"63 °/ . With values of cell-frequency less than 17, say in the single
digits, far greater divergences will be encountered.
LII— LIII]
Introduction,
lxxix
Illustration (ii). Consider the fourfold Table below and discuss the relative
probabilities that it has arisen from a population which shews 0, 1, 2, 3, etc. indi-
A Not-J
Totals
n
Not-Z? ...
127-5
863-5 87
127-5
950-5
991
87
1078
viduals for this size of sample in the cell B, not-A. On the assumption that
is really the population of this cell, the probability is unity. Hence we have the
following result.
Population)
of cell (
1
1
2
3 •
4
5
6
7 8
.9
to
U
12
13 &
over
Probability )
ofO [
occurring )
•36788
•13534-04979
•01832
•00674
•00248
•00091 -00034
•00012
•00005
•00002
•00001
•00000
Sum
= 1-58200.
Whence taking the a priori probabilities proportional to the probability of
occurring on the separate possibilities we have :
Probabilities that the Table arose from a population
ivith x in the B, not-A cell.
X
Probability
j; P
robability
•632,110
7
000,575
1
•232,541
8
000,215
2
•085,550
9
000,076
8
•031,473
to
000,032
4
•011,580
11
000,013
S
•004,260
12
000,006
6
•001,568
IS and over '■
000,000
The " association " of such a Table cannot therefore be considered " perfect," for
in 37 °/ of cases it would arise from a Table with a unit or more in the B, not- A
cell. The above is actually a Table of the correlation of stature in father and son.
Grave caution is therefore needful in discussing such "perfect association" tables.
Table LIII (p. 125)
Angles, Arcs and Decimals of Degrees. (Based on Hutton's Mathematical
Tables.)
This Table gives degrees in radians for the first two quadrants; it then gives
minutes and seconds from 1 to 60 in fractions of a degree and in radians. The
lxxx Table* for Statisticians and Biometriciam [LIII
need of such a table is very obvious, and arises in too great a variety of circum-
stances to be specified.
Illustration. It is required to plot the curve * :
x = 14-9917 tan 0,
y = 23.5-323 cos 32 ' 8023 ftr 4 ' 56 ' 16 0.
Here log y = log 235323 + 328023 log cos - 4-5696 log ex0.
To cover the whole range of observations we must proceed from 0= — 45° to
= + 45° roughly. It will be found sufficient to take 6 by steps of 3° and
ultimately perhaps of 4°. Hence 14-9917 is put on the arithmometer and multi-
plied in succession by the natural tangents of 3°, 6°, 9°.., etc. Plus and minus
signs are given to these values of x. The corresponding values of y are found
in three columns. The first is obtained by putting 32-8023 on the arithmometer
and multiplying by the logarithmic cosines of 3°, 6°, 9°, etc. The second is
obtained by multiplying (taking the third factor from Table LIII)
4-5696 x log e x -017,4533 = -216,7955
on the machine and multiplying the result in succession by 3, 6, 9, etc.
The first column is added to log 235323 = 2-371,6644 and the second column
first subtracted aud then added to the result to obtaiu the value of logy for
positive and negative abscissae respectively. The antilogarithms give the ordinates.
Another problem sometimes arises given x to find y. For example : In the
above curve the mode is at 117'9998 cms. of stature and the origin at 113'8228,
thus the distance between them =4-1770 cms. or since the working unit of
x = 2 cms. and the positive direction of x is towards dwarfs, the mode is at
x = — 2-0885. Required to find the maximum ordinate y mo . We have
tan = - 20885/14-9917 = - -139,3104,
whence by a table of natural tangents
= -V 55' -851265,
= - V 55' 51".
The log cosine of this value of is
1-995,8962.
Table LIII gives us :
7°= -122,1730 in arc
55'= -015,9989 „ „
•851,265' = -851,265 x -000,2909= '000,2476,, „
Hence =--138,4195 „ „
* See Phil. Trans. Vol. 186, A, p. 387. Pearson's Type IV frequency curve fitted to the stature
of 2192 St Louis School Girls aged 8.
LIU— LIV] Introduction lxxxi
Hence \ gy m0 = 2-371,6644
+ 32-8023 (- -004,1038)
+ 1-984,5521 x -138,4195
2-511,7510.
Hence y mo = 324901.
Table LIV (pp. 126—142)
Tables of the G (r, v) Integrals. (Calculated by Alice Lee, D.Sc. Transactions
British Association Report, Dover, 1899, pp. 65 — 120.)
The purpose of this table is to obtain the value of the integral
Q
(r,v)=j sm r 0e*°dd (lxxxiii).
In order to obtain small differences in tabulated values two additional
functions F(r, v) and H (r, v) are introduced.
The relations between the three functions are then expressed by the following
series of equations :
F{r,v) = e-^Q(r,v) (Ixxxiv),
F{r,v) = e * { *^ +1 H{r,v) (hxxv),
G(r,v) = e i '"F(r,v) (lxxxvi),
e"* +} " r (cos6) r+1
G(r,v) = ,—- Y S{r,v) (lxxxvii),
vr — 1 '
g(r,y) " \ <£l£* r < r - w '> < lxxxviii )'
H {r ' V)= (cos >)-+' G{r ' ») -(Ixxxix),
where tan = v/r.
Pearson's Type IV Skew Frequency Curve is of the form
- v tan -1 -
y ~ y, {i + (?yi* (r+2) ' (xc) '
Hence if N be its total area, i.e. the entire population under discussion,
^ = y ae _i '" r [" sin r 6e^d0,
Jo
/o
)Y 1
a F (r, v)
B. ,
*— r-frfcrrs (™)-
liixii Tables for Statisticians and Biometricians [LI V
The function H (r, v) is introduced because, as a rule, its logarithms have far
smaller differences and it is thus capable of more exact determination from a table
of double entry. Its physical relation to the curve may be expressed as follows ;
let the origin be transferred to the mean, then if y 1 be the ordinate at the mean,
*-!*(b (xci)bis -
where a is the standard-deviation of the curve
a . ...
= , (xcii).
vr — 1 cos
The distance of the mean from the origin is given by
/*/ = — a tan (xciii).
When r is fairly large :
cos- 1
/ ~ 5 T7T- 0'' tan
1 / r e 3r Vir .
jr(r,»)"V 2tt (cos0) r+1 " (XC1V) -
TT 1 / V 1 -Aff2 / N
Hence =a/ x -i—e ^ (xcv),
H(r,v) Vr-1 V2tt
, /l-4cos a d>
where g=I ^/ _____£,
and thus the evaluation if <£ be > 60° may be made by aid of Table II*.
Illustration. In the curve fitted to the statures of St Louis School Girls,
aged 8 (p. lxxx), we have
if- 2192, a =149917,
r = 30-8023, v = 4-56967.
Find y„.
We have tan = 8° 26'-31315 = 8°-43855.
Turning to the Tables, p. 136, we see the large differences of log.F(r, v) at
this value of , and accordingly settle to work with log H(r, v).
We have for log H (r, v ),
r = 30 r = 31
$ = 8° -388,2032 -388,5583,
= 9° -388,2278 "388,5822,
4> = 8°-4386, r = 30:
log H (r, 1/) = -388,2032 + (-4386) [246] - £ (-4386) x (-5614) [28]
= •388,2137.
* For a fuller discussion of these integrals see Phil. Trans. Vol. 186, A, pp. 376—381, B. A. Trans.
Report, Liverpool, 1896, Preliminary Keport of Committee... , and the B.A. Trans. Report, Dover, 1899,
already cited.
LIV — LV] Introduction Ixxxiii
<£ = 8°-4386, r-Sl:
log S(r, v) = -388,558a + (-4386) [238] - } (-438(5) (-5614) [27]
= 388,5684.
= 8°-4386, r = 32 :
log H(r, v) = -388,8910 + (-4386) [231] - \ (4386) (-5614) [26]
= -388,9008.
Hence > = 8°-4386, r = 30 8023 :
log H (r, *) = -388,2137 + 8023 [3547] - £ (-8023) (1977) [- 223]
= -388-5001.
Hence by formula (lxxxv) :
log F (r, v) = i>4> log e + r + 1 log cos <£ - £ log (r - 1) + log ZZ" (r, i/).
Or, using Tables LIII and LV, we have
log F(r, v) = 292,2901 - -737,1249
+ 1-849,6578
+ -388,5001
•530,4480
- -737,1249
log F(r, v) = 1-793,3231
Finally from formula (xci) :
log y = log N - log a - 1793,3231
= 3-340,8405 - 1-175,8509
- 1-793,3231
- -969,1740
= 2371,76665.
Or y = 235324*.
Table LV.
This table contains some miscellaneous constants in frequent statistical or
biometric use and requires no illustration. It lias already been used in the
illustrations to previous tables.
I have had the generous assistance of my colleagues Miss E. M. Elderton and
Mr H. E. Soper in the preparation of the Illustrations to these Tables. I can
hardly hope that arithmetical slips have wholly escaped us in a first edition,
and I shall be grateful for the communication of any corrections that my readers
may discover are necessary.
* The value 235-323 obtained in Phil Trans. Vol. 186, A, p. 387, was found by the approximate
formula (xciv) before tables were calculated.
Every reader may now see in what way the higher branches of mathematics
are concerned in our present subject. They are the abbreviators of long and
tedious operations, and it would be perfectly possible, with sufficient time and
industry, to do without their use When both the ordinary and the mathe-
matical result are derived from the same hypothesis, the latter must be the more
correct : and in those numerous cases in which the difficulty lies in reducing the
original circumstances to a mathematical form, there is nothing to show that we
are less liable to error in deducing a common sense result from principles too
indefinite for calculation, than we should be in attempting to define more closely,
and to apply numerical reasoning. — De Morgan.
Tables of the Probability Integral
TABLE I.
Table of Deviates of the Normal Curve for each Perinille of Frequency.
Permille
■000
■001
•002
■003
■004
■005
•006
■007
■008
■009
■010
•00
00
3-0902
2-8782
2-7478
2 6521
2-5758
2-5121
2-4573
2-4089
2-3656
2-3263
■99
■01
2-3203
2-2904
2-2571
2-2262
2-1973
2-1701
2-1444
2-1201
2-0969
2-0749
2-0537
■98
•02
2-0537
2-0335
2-0141
1-9954
1-9774
1-9600
1-9431
1-9268
1-9110
1-8957
1-8808
■97
■OS
1 -8808
1-8663
1-8522
1-8384
1-8250
1-8119
1-7991
1 -7866
1-7744
1-7624
1-7507
■96
■04
1-7507
1-7392
1-7279
1-7169
1-7060
1-6954
1-6849
1-6747
1-6646
1-6546
1-6449
■95
•05
1-6449
1-6352
1-6258
1-6164
1-6072
1-5982
1-5893
1 -5805
1-5718
1-5632
1-5548
■94
■06
1-5548
1 -5464
1-5382
1-5301
1-5220
1-5141
1-5063
1-4985
1-4909
1-4833
1-4758
■93
■07
1-4758
1-4684
1-4611
1 -4538
1-4466
1 -4395
1-4325
1-4255
1-4187
1-4118
1 -4051
■92
■08
1-4051
1-3984
1-3917
1-3852
1-3787
1 -3722
1-3658
1-3595
1-3532
1-3469
1 -3408
•91
■00
1-3408
1-3346
1 -3285
1-3225
1-3165
1-3106
1-3047
1-2988
1-2930
1-2873
1-2816
■90
•10
1-2816
1-2759
1-2702
1-2646
1-2591
1-2536
1-2481
1-2426
1-2372
1-2319
1 -2265
■89
•11
1-2265
1-2212
1-2160
1-2107
1-2055
1 -2004
1-1952
1-1901
1-1850
1-1800
1-1750
■88
•12
1-1750
1-1700
1-1650
1-1601
1-1552
1-1503
1-1468
1-1407
1-1359
1-1311
1-1264
■87
•13
1-1264
1-1217
1U170
1-1123
1-1077
1-1031
1-0985
1 -0939
1-0893
1 -08 18
1-0803
•86
■n
1-0803
1 -0758
1-0714
1-0669
1 -0625
1-0581
1-0537
1-0494
1-0450
1-0407
1-0364
■85
•IB
1 0364
1 -0322
1-0279
1-0237
1-0194
1-0152
1-0110
1-0069
1-0027
0-9986
0-9945
■84
•16
0-0945
0-9904
0-9863
0-9822
0-9782
0-9741
0-9701
0-9661
0-9621
0-9581
0-9542
•83
•17
0-9542
0-9502
0-9463
0-9424
0-9385
9346
0-9307
0-9269
0-9230
0-9192
09154
■82
•18
0-9154
0-9116
0-9078
0-9040
0-9002
0-8965
0-8927
0-8890
0-8853
0-8816
0-8779
■81
■19
0-8779
0-8742
0-8705
0-8669
8633
0-8596
0-8560
0-8524
0-8488
0-8452
0-8416
■80
•20
0-8416
0-8381
0-8345
0-8310
0-8274
0-8239
0-8204
0-8169
0-8134
0-8099
0-8064
■79
•21
0-8064
0-8030
0-7995
0-7961
0-7926
0-7892
0-7858
0-7824
0-7790
0-7756
0-7722
■78
0-7722
0-7688
0-7655
0-7621
0-7588
0-7554
0-7521
0-7488
0-7454
0-7421
0-7388
■77
'..'■!
0-7388
0-7356
0-7323
0-7290
0-7257
0-7225
0-7192
0-7160
0-7128
0-7095
0-7063
■76
■-'.',
0-7063
0-7031
0-6999
0-6967
0-6935
0-6903
0-6871
0-6840
0-6808
0-6776
0-6745
■75
•25
0-6745
0-6713
0-6682
0-6651
0-6620
0-6588
0-6557
0-6526
0-6495
0-6464
0-6433
■74
■26
06433
0-6403
0-6372
0-6341
0-6311
0-6280
0-6250
0-6219
0-6189
0-6158
0-6128
•73
■27
0-6128
0-6098
0-6068
0-6038
0-6008
0-5978
0-5948
0-5918
0-5888
0-5858
0-5828
'72
•28
0-5828
0-5799
5769
0-5740
0-5710
0-5681
0-5651
0-5622
0-5592
0-5563
0-5534
■71
■29
0-5534
0-5505
05476
0-5446
0-5417
0-5388
5359
0-5330
0-5302
0-5273
0-5244
•70
■30
0-5244
0-5215
0-5187
0-5158
0-5129
0-5101
0-5072
0-5044
0-5015
0-4987
0-4959
•69
•31
0-4959
0-4930
0-4902
0-4874
0-4845
0-4817
0-4789
0-4761
0-4733
0-4705
0-4677
■68
■32
0-4677
0-4649
0-4621
0-4593
0-4565
0-4538
0-4510
0-4482
0-4454
0-4427
0-4399
■67
•S3
0-4399
0-4372
0-4344
0-4316
0-4289
0-4261
0-4234
0-4207
0-4179
0-4152
0-4125
•66
■3/ t
0-4125
0-4097
0-4070
0-4043
0-4016
0-3989
0-3961
0-3934
0-3907
0-3880
0-3853
■65
■35
0-3853
0-3826
0-3799
0-3772
0-3745
0-3719
0-3692
0-3665
0-3638
0-3611
0-3585
■64
■36
0-3585
0-3558
0-3531
0-3505
0-3478
0-3451
0-3425
0-3398
0-3372
0-3345
03319
•63
■37
0-3319
0-3292
0-3266
0-3239
0-3213
0-3186
0-3160
0-3134
0-3107
0-3081
0-3055
■62
■38
0-3055
0-3029
0-3002
0-2976
0-2950
0-2924
0-2898
0-2871
0-2845
0-2819
0-2793
■61
•SO
0-2793
0-2767
0-2741
0-2715
0-2689
0-2663
0-2637
0-2611
0-2585
0-2559
02533
■60
■40
0-2533
0-2508
0-2482
0-2456
0-2430
0-2404
0-2378
0-2353
0-2327
0-2301
0-2275
■59
■41
0-2275
0-2250
0-2224
0-2198
0-2173
0-2147
0-2121
0-2096
0-2070
0-2045
0-2019
•58
•42
0-2019
1993
0-1968
0-1942
0-1917
0-1891
0-1866
0-1840
0-1815
0-1789
0-1764
■57
•43
0-1764
0-1738
0-1713
0-1687
0-1662
0-1637
0-1611
0-1586
0-1560
0-1535
0-1510
■56
■44
0-1510
0-1484
0-1459
0-1434
0-1408
0-1383
0-1358
0-1332
0-1307
0-1282
0-1257
■55
•45
0-1257
01231
0-1206
0-1181
0-1156
0-1130
0-1105
0-1080
0-1055
0-1030
0-1004
■54
■46
0-1004
0-0979
0-0954
0-0929
0-0904
0-0878
0-0853
0-0828
0-0803
0-0778
0-0753
■53
■47
0-0753
0-0728
0-0702
0-0677
0-0652.
0-0627
0-0602
0-0577
0-0552
0-0527
0502
■52
•48
0-0502
0476
0-0451
0-0426
0-0401
0-0376
0-0351
0-0326
0-0301
0-0276
0-0251
■51
■49
0-0251
0-0226
0-0201
0-0175
0-0150
0-0125
o-oioo
0-0075
0-0050
0-0025
0-0000
■50
•010
■009
■008
•007
■006
■005
■004
■003
■002
•001
•000
Permille
B.
Tables for Statisticians and Biometricians
TABLE II. Area and Ordinate in terms of Abscissa.
i(l+«)
■00
01
■02
■03
•Ob
■05
■06
■07
•08
■00
■10
■11
■12
•18
■14
■15
■16
■17
■18
■19
■21
•25
•26
■27
■28
■29
•SO
•SI
•32
■S3
■34
•35
■36
■37
•38
•39
•40
41
42
■43
■44
■46
■46
■47
■48
■49
■50
•5000000
•5039894
■5079783
•5119665
•5159534
•5199388
•5239222
■5279032
•5318814
•5358564
•5398278
•5437953
•5477584
•5517168
•5556700
•5596177
•5635595
•5674949
•5714237
•5753454
•5792597
•5831662
•5870644
•5909541
■5948349
•5987063
■6025681
•6064199
•6102612
•6140919
•6179114
•6217195
•6255158
•6293000
•6330717
■6368307
•6405764
•6443088
•6480273
•6517317
•6554217
•6590970
•6627573
•6664022
•6700314
■6736448
•6772419
•6808225
•6843863
•6879331
•6914625
A
+
39894
39890
39882
39870
39854
39834
39810
39782
39750
39714
39675
39631
39584
39532
39477
39418
39355
39288
39217
39143
39065
38983
38897
38808
38715
38618
38518
38414
38306
38195
38081
37963
37842
37717
37589
37458
37323
37185
37044
36900
36753
36602
36449
36293
36133
35971
35806
35638
35467
35294
A 2
4
8
12
16
20
24
28
32
36
40
44
48
51
55
59
63
67
71
74
82
86
89
93
97
100
104
107
111
114
118
121
125
128
131
135
138
141
144
147
150
153
156
159
162
165
168
171
173
176
•3989423
•3989223
•3988625
•3987628
•3986233
•3984439
•3982248
•3979661
■3976677
•3973298
•3969525
•3965360
•3960802
•3955854
■3950517
•3944793
•3938684
•3932190
•392531 5
•3918060
•3910427
•3902419
•3894038
•3885286
•3876166
•3866681
•3856834
•3846627
•3836063
•3825146
•3813878
•3802264
•3790305
•3778007
•3765372
•3752403
•3739106
•3725483
•3711539
•3697277
•3682701
■3667817
■3652627
•3637136
•3621349
•3605270
•3588903
•3572253
•3555325
•3538124
•3520653
199
598
997
1395
1793
2191
2588
2984
3379
3773
4166
4558
4948
5337
5724
6110
6493
6875
7255
7633
8008
8381
8752
9120
9485
9847
10207
10564
10917
11268
11615
11958
12298
12635
12968
13297
13623
13944
14262
14575
14885
15190
15491
15787
16079
16367
16650
16928
17202
17470
A 2
399
399
399
398
398
397
397
396
395
394
393
392
390
389
387
386
384
382
380
378
375
373
371
368
365
362
360
357
354
350
347
344
340
337
333
329
325
322
318
313
309
305
301
806
292
288
283
278
274
269
264
50
51
52
63
54
55
■56
57
58
69
GO
61
62
63
64
65
66
67
68
69
70
71
72
73
75
76
77
78
79
SO
81
82
88
84
85
■86
■87
■8S
89
90
91
92
a.;
94
95
96
or
98
99
100
4(l+«)
•6914625
•6949743
■6984682
•7019440
•7054015
■7088403
•7122603
•7156612
•7190427
•7224047
■7257469
•7290691
•7323711
•7356527
■7389137
•7421539
•7453731
■7485711
•7517478
•7549029
•7580363
•7611479
•7642375
•7673049
•7703500
•7733726
•7763727
•7793501
•7823046
•7852361
•7881446
•7910299
•7938919
•7967306
■7906468
•8023375
•8051055
•8078498
•8105703
•8132671
•8159399
•8185887
•8212136
•8238145
•8263912
•8289439
•8314724
•8339768
•8364569
•8389129
•8413447
+
35118
34939
34758
34574
34388
34200
34009
33815
33620
33422
33222
33020
32816
32610
32402
32192
31980
31767
31551
31331
31116
30896
30674
30451
30226
30001
29773
29545
29316
29085
28853
28620
28387
28152
27917
27680
27443
27205
26967
26728
26489
26249
26008
25768
25527
25285
25044
24802
24560
24318
A 2
176
179
181
184
186
189
191
193
196
198
200
202
204
206
208
210
212
214
215
217
219
220
222
223
225
226
227
228
230
231
232
233
234
235
235
236
237
238
238
239
239
240
240
241
241
241
242
242
242
242
242
Tables of the Probability Integral
TABLE 11.— {continued).
•3520653
•3502919
■3484925
•3466G77
•3448180
•3429439
•3410458
•3391243
■3371799
•3352132
•3332246
•3312147
•3291840
•3271330
■3250623
■3229724
•3208638
•3187371
•3165929
•3144317
•3122539
•3100603
•3078513
•3056274
•3033893
■3011374
■2988724
•2965948
•2943050
■2920038
•2896916
•2873689
•2850364
•2826945
•2803438
•2779849
■2756182
•2732444
•2708640
•2684774
•2660852
•2636880
•2612863
•2588805
•2564713
•2540591
•2516443
•2492277
•2468095
•2443904
•2419707
17734
17994
18248
18497
18741
18981
19215
19444
19667
19886
20099
20307
20510
20707
20899
21086
21267
21442
21613
21777
21936
22090
22239
22381
22519
22650
22777
22897
23013
23122
23227
23325
23419
23507
23589
23666
23738
23805
23866
23922
23972
24017
24058
24093
24122
24147
24167
24182
24191
24196
A 2
264
259
254
249
244
239
234
229
224
219
213
208
203
197
192
187
181
176
170
165
159
154
148
143
137
132
126
121
115
110
104
99
93
88
83
77
72
66
61
56
51
45
40
35
30
25
20
15
10
5
■00
■01
■02
■03
■04
■05
10G
1-07
108
V09
1-10
1-11
1-12
VIS
1-14
1-15
1-16.
V17
1-18
1-19
1-20
1-21
1-22
1-23
1-2J,
1-25
1-26
1-27
1-28
1-29
ISO
131
1-32
1-33
1*4
1-35
1-36
1-37
1-38
1-39
1-1,0
1-41
1-1,2
1-P
1-44
i-i,r,
VJf6
1-1,7
11,8
1-1,9
1-50
*(l+n)
8413447
8437524
8401358
8484960
508300
8531409
8554277
8576903
8599289
8621434
8643339
8665005
8686431
8707619
8728568
8749281
8769756
8789995
8809999
8829768
8849303
8868606
8887676
8906514
8925123
8943502
8961653
8979577
8997274
9014747
9031995
9049021
9065825
9082409
9098773
9114920
9130850
9146565
9162067
91773:><;
9192433
9207302
9221962
9236415
9250663
9204707
9278550
9292191
9305634
9318879
•9331928
+
24076
23834
23592
23351
23109
22868
22626
22386
22145
21905
21665
21426
21188
20950
20712
20475
20239
20004
19769
19535
19302
19070
18839
18609
18379
18151
17924
17697
17472
17248
17026
16804
16584
16365
16147
15930
15715
15501
15289
15078
14868
14660
14453
14248
14044
13842
13642
13443
13245
13049
A 2
242
242
242
242
242
241
241
241
240
240
240
239
239
238
237
237
236
235
235
234
233
232
231
230
229
228
227
226
225
224
223
222
220
219
218
217
215
214
212
211
210
208
207
205
204
202
201
199
197
196
194
2419707
2395511
2371320
2347138
2322970
2298821
2274696
2250599
2226535
2202508
2178522
2154582
2130691
2106856
2083078
2059363
2035714
2012135
1988631
1966208
1941861
1918602
1895432
1872354
1849373
1826491
1803712
1781038
1758474
1736022
1713086
1691468
1609370
1047397
1025551
1003833
1582248
1500797
1539483
1518308
1497275
1470385
1455041
1435046
1414600
1394300
1374165
1354181
1334353
1314684
1295176
24196
24191
24182
24168
24149
24125
24097
24064
24027
23986
23940
2389(1
23830
23778
23715
23649
23578
83604
23426
23344
23259
23170
23077
22981
22882
22779
22673
22564
22452
22337
22218
22097
21973
21847
21717
21585
21451
21314
21175
21033
20890
20744
20596
20446
20294
20140
19985
19828
19669
19508
1—2
A 2
+
10
14
19
24
28
33
37
41
46
50
54
58
62
66
70
74
78
82
85
89
93
96
99
103
106
109
112
115
118
121
124
127
129
132
134
137
139
142
144
146
148
150
152
154
155
157
159
160
162
Tables for Statisticians and Biometricians
TABLE II. Area and Oidinate in terms of Abscissa.
iO+«)
1-50
1-51
V52
1-53
1-54
1-55
1-66
V57
1-58
1-59
1-00
1-61
1-62
1-63
1-64
1-65
166
167
1-68
1-C9
1-70
1-71
1-72
1-73
1-7 k
V75
1-76
V77
1-78
1-79
1-80
1-81
1-82
1-88
1-84
1-85
1-86
1-87
1-88
1-89
1-90
1-91
1-92
V93
1-94
1-95
1-96
1-97
1-98
1-99
2-00
•9331928
•9344783
•9357445
■9369916
•9382198
•9394292
•9406201
•9417924
•9429466
•9440826
•9452007
•9463011
•9473839
•9484493
•9494974
•9505285
•9515428
•9525403
•9535213
•9544860
•9554345
•9563671
•9572838
■9581849
•9590705
•9599408
•9607961
•9616364
•9624620
•9632730
•9640697
•9648521
•9656205
•9663750
•9671159
•9678432
•9685572
•9692581
•9699460
•9706210
•9712834
•9719334
•9725711
•9731966
•9738102
•9744119
•9750021
■9755808
•9761482
•9767045
•9772499
A
+
12855
12662
12471
12282
12094
11908
11724
11541
11360
11181
11004
10828
10654
10482
10311
10142
9975
9810
9647
9485
9325
9167
9011
8856
8704
8553
8403
8256
8110
7966
7824
7684
7545
7409
7273
7140
7009
6879
6751
6624
6500
6377
6255
6136
6018
5902
5787
5674
5563
5453
194
193
191
189
188
186
184
183
181
179
177
176
174
172
170
169
1G7
165
163
162
160
158
156
155
153
151
149
147
146
144
142
140
139
137
135
133
132
130
128
126
125
123
121
120
118
116
115
113
111
110
108
•1295176
•1275830
•1256646
•1237628
■1218775
•1200090
•1181573
•1163228
•1145048
•1127042
•1109208
•1091548
•1074061
•1056748
•1039611
•1022649
•1005864
■0989255
■0972823
0956568
0940491
•0924591
•0908870
•0893326
•0877961
■0862773
•0847764
•0832932
•0818278
•0803801
•0789502
•0775379
•0761433
■0747663
•0734068
•0720649
•0707404
•0694333
•0681436
•0668711
•0656158
•0643777
•0631566
•0619524
•0607652
■0595947
•0584409
•0573038
•0561831
•0550789
•0539910
19346
19183
19018
18853
18685
18517
18348
18177
18006
17834
17661
17487
17312
17137
16962
16786
16609
16432
16255
16077
15899
15722
15544
15366
15188
15010
14832
14654
14477
14300
14123
13946
13770
13594
13419
13245
13071
12897
12725
12553
12382
12211
12041
11873
11705
11538
11372
11206
11042
10879
A 2
+
162
163
165
166
167
168
169
170
171
172
173
174
174
175
176
176
177
177
177
178
178
178
178
178
178
178
178
178
177
177
177
176
176
176
175
175
174
173
173
172
171
170
170
169
168
167
166
165
164
163
162
2-00
2-01
2-02
2-03
2-04
2-05
2-06
2-07
g-OS
i-09
2-10
2-11
2-12
2-13
2-14
2-15
2-16
2-17
2-18
2-19
2-20
2-21
2-22
2-23
2-24
2-25
2-26
2-27
2-28
2-29
2-30
2-31
2S2
2-33
2-34
2-35
2-36
2-37
2-38
2-39
2-40
2-41
2-42
2-43
2-44
2-45
2-46
2-47
2-48
2-49
2-50
!(! + «)
■9772499
•9777844
•9783083
•9788217
•9793248
•9798178
•9803007
•9807738
•9812372
•9816911
•9821356
•9S25708
•9829970
•9834142
•9838226
•9842224
•9846137
•9849966
•9853713
•9857379
•9860966
•9864474
•9867906
•9871263
•9874545
•9877755
•9880894
■9883962
•9886962
•9889893
•9892759
•9895559
•9898296
•9900969
•9903581
•9906133
•9908625
•9911060
•9913437
•9915758
•9918025
•9920237
•9922397
•9924506
•9926564
•9928572
•9930531
•9932443
■9934309
•9936128
•9937903
A
+
5345
5239
5134
5031
4929
4>29
4731
4634
4539
4445
4352
4262
4172
4084
3998
3913
3829
3747
3666
3587
3509
3432
3357
3283
3210
3138
3068
2999
2932
2865
2800
2736
2674
2612
2552
2492
2434
2377
2321
2267
2213
2160
2108
2058
2008
1960
1912
1865
1820
1775
A 2
108
106
105
103
102
100
98
97
95
94
92
91
89
88
86
85
84
82
81
79
78
77
75
74
73
71
70
69
68
66
65
64
63
62
60
59
58
57
56
55
54
53
52
51
50
49
48
47
46
45
44
Tables of the Probability Integral
TABLE II.— {continued).
•0539910
0529192
•0518636
■0508239
•0498001
■0487920
0477996
•0468226
•0458611
•0449148
•0439836
•0430674
•0421661
•0412795
•0404076
•0395500
•0387069
•0378779
•0370629
•0362619
•0354746
•0347009
•0339408
•0331 939
•032460:!
•0317397
•0310319
•0303370
•0296546
•0289847
•0283270
■0276816
•0270481
■0264265
■0258166
•0252182
•0246313
•0240556
•0234910
■0229374
■0223945
•0218624
0213407
■0208294
•0203284
•0198374
•0193563
•0188850
•0184233
■0179711
•0175283
10717
10557
10397
10238
10081
9924
9769
9616
9463
9312
9162
9013
8866
8720
8575
8432
8290
8149
8010
7873
7737
7602
7468
7337
7206
7077
6950
6824
6699
6576
6455
6335
6216
6099
5984
5870
5757
5646
5536
5428
5322
5217
5113
5011
4910
4811
4713
4617
4522
4428
A 2
+
X
1(1 +«)
A
+
A 2
z
162
2-50
•9937903
1731
1688
1646
1605
1565
1525
44
•0175283
161
'2-51
•9939634
43
•0170947
160
2S2
•9941323
42
•0166701
159
2-53
•9942969
41
•0162545
157
156
2-54
2-55
•9944574
■9946139
40
39
•0158476
•0154493
155
2-G6
•9947664
1487
1449
1412
1376
1341
39
•0150596
154
2-H7
•9949151
38
•0146782
153
2-58
•9950600
37
•0143051
161
2S9
•9952012
36
•0139401
150
2-60
•9953388
35
•0135830
149
2-61
•9954729
1306
1272
1239
1207
1176
35
•0132337
147
2-62
•9956035
34
•0128921
146
2-6S
•9957308
33
•0125581
145
2-6J t
•9958547
32
•0122315
143
2-65
•9959754
32
■0119122
142
2-66
•9960930
1145
1115
1085
1056
1028
31
•0116001
140
2-67
•9962074
30
•0112951
139
2-68
■9963189
29
•0109969
138
2-69
•9964274
29
•0107056
136
2-70
•9965330
28
•0104209
135
2-71
•9966358
1001
974
948
922
897
27
•0101428
133
2-72
•9967359
27
•0098712
132
2-73
•9968333
26
•0096058
130
2-74
■9969280
26
•0093406
129
2-75
•9970202
25
•0090936
127
2-76
•9971099
873
849
825
803
781
24
•0088465
126
2-77
■9971972
24
•0086052
125
2-78
•9972821
23
•0083697
123
2-79
•9973646
23
•0081398
122
2-80
•9974449
22
•0079155
120
2-81
•9975229
759
738
717
697
678
22
•0076965
119
2-82
•9975988
21
•0074829
117
2-83
•9976726
21
•0072744
116
284
•9977443
20
•0070711
114
2-85
•9978140
20
•0068728
113
2-86
•9978818
658
640
622
604
587
19
•0066793
111
2-87
•9979476
19
•0064907
110
2-88
■99801 16
18
•0063067
108
2-89
•9980738
18
•0061274
107
2-90
•9981342
17
•0059525
105
2-91
•9981929
570
553
537
522
507
17
•0057821
104
2-92
•9982 198
16
•0056160
102
2-93
•9983052
16
•0054541
101
2-9J t
•9983589
16
•0052963
99
2-95
•9984111
15
•0051426
98
2-96
•9984618
492
478
464
450 .
15
•0049929
96
2-97
•9985110
14
•0048470
95
298
•9985588
14
•0047050
93
2-99
•9986051
14
■0045666
92
3-00
•9986501
13
•0044318
A 2
+
4336
4246
4157
4069
3982
3897
3814
3731
3650
3571
3493
3416
3340
3266
3193
3121
3051
8881
2913
2847
2781
2717
2654
2592
2531
2471
2413
2355
2299
2244
2189
2136
2084
2033
1983
1934
1886
1839
1793
1748
1704
1661
1619
1578
1537
1497
1459
1421
1384
1347
92
91
89
88
86
85
84
82
81
80
78
77
76
74
73
72
70
69
68
67
66
64
63
62
61
60
59
57
56
55
54
53
52
51
50
49
48
47
46
46
44
43
42
41
40
40
39
38
37
36
35
Tables for Statisticians and Biometricians
TABLE II. Area and Ordinate in terms of Abscissa.
X
i(l+<0
A
+
A 2
z
A
A' 2
+
3-00
s-oi
•9986501
•9986938
437
424
411
39!)
387
375
13
13
•0014318
•0043007
1312
1277
1243
1210
1178
1146
35
35
S-02
•9987361
13
•00417;?.)
34
s-os
•9987772
12
•00404MJ
33
.",■04
•9988171
12
•0039276
32
3-05
•9988558
12
•0038098
32
S-06
$■07
•9988933
■9989297
364
363
342
332
322
11
11
•0036951
•0035836
1115
1085
1056
1027
999
31
30
$■08
•9989650
11
•0034751
29
$■09
•9989992
10
•0033695
29
$■10
•9990324
10
•0032668
28
$■11
•9990046
312
302
293
284
275
10
•0031669
971
944
918
893
868
27
$■12
•9990957
10
•0030698
27
$■13
•9991260
9
•0029754
20
$■14
•9991553
9
•0028835
20
$■15
•9991836
9
0027943
25
.:-ir,
■9992112
267
258
250
242
235
9
•0027075
843
820
797
774
752
24
$■17
•9992378
8
•0026231
24
$■18
•9992636
8
•0025412
23
$■19
•9992886
8
•0024615
23
$-20
•9993129
8
•0023841
22
$-21
•9993363
227
220
213
206
200
7
•0023089 .
731
710
689
669
650
21
$■22
■9993590
7
•0022358
21
$■23
•9993810
7
•0021649
20
$■21,
•9994024
7
•0020960
20
$■25
•9994230
7
•0020290
19
326
•9994429
193
187
181
175
169
6
■0019641
631
612
595
577
500
19
3-27
•9994623
6
•0019010
18
3-28
•9994810
6
•0018397
18
3-29
•9994991
6
•0017803
17
3-30
•9995166
6
•0017226
17
3-31
•9995335
164
159
153
148
143
6
•0016666
543
527
512
496
481
17
3-32
•9995499
5
•0016122
10
3-33
•9995658
5
0015595
16
.-:::.',
•9995811
5
•0015084
15
3-35
•9995959
5
•0014587
15
$■$6
•9996103
139
134
130
125
121
5
•0014106
407
453
439
420
413
15
$■$7
•9996242
5
•0013639
14
$■38
•9996376
4
•0013187
14
$■$9
•9996505
4
•0012748
13
S-Jfi
•9996631
4
•0012322
13
3-1,1
•9996752
117
113
109
106
102
4
•0011910
400
388
370
304
353
13
3-42
•9996869
4
•0011510
12
3-4$
•9996982
4
•0011122
12
3-U
•9997091
4
■0010747
12
3-1,5
•9997197
4
•0010383
11
$-lfi
•9997299
99
95
92
89
3
•0010030
342
331
320
310-
11
3-1,7
•9997398
3
•0009689
11
8-1,8
•9997493
3
•0009358
10
8-1,9
•9997585
3
•0009037
10
$-50
•9997674
3
•0008727
10
$-50
351
3-52
3-53
3-51,
3-55
$■56
8-57
$■58
3-59
8-60
361
.:■>;.>
8-63
3'Gl,
3-65
3-G6
3-67
S-G8'
$■(!!)
li-;u
8-71
3-72
$■7$
$■74
$■75
3-76
$■77
3-78
8-79
3-80
881
8-82
3-83
O'oJj.
3-85
3-86
3-87
8-88
8-89
8-90
8-91
,;■>.>;
.;■:>.;
,:■'.»,
8-95
8-96
$■97
,:-us
899
4'00
*(!+«)
•9997074
•9997759
•9997842
•9997922
•9997999
•9998074
•9998140
•9998215
•9998282
•9998347
9998409
9998409
•9998527
•9998583
•9998037
•9998089
•9998739
•9998787
•9998834
•9998879
■9998922
•9998904
•9999004
•9999043
•9999080
•9999110
•9999150
•9999184
•9999216
•9999247
•9999277
•9999305
•9999333
•9999359
•9999386
•9999409
•9999433
■9999456
•9999478
•9999499
•9999519
•9999539
•9999557
■9999575
•9999593
•9999609
•9999625
•9999641
•9999655
•9999670
•9999083
A
+
86
83
80
77
74
72
69
67
65
62
00
58
56
54
52
50
48
47
45
43
42
40
39
37
36
35
33
32
31
30
29
28
27
20
25
24
23
22
21
20
19
19
18
17
17
10
15
15
14
14
A 2
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Tables of the Probability Integral
TABLE II— (continued).
z
A
A 2
+
X
J(l + ")
A
+
A 2
~
A
A 3
+
2
•0008727
301
291
282
273
264
256
10
4-oo
•9999683
13
13
12
12
11
11
1
•0001338
53
51
49
47
45
43
■0008426
10
lfOl
•9999696
1
•0001286
2
•0008135
9
4-02
•9999709
•0001235
2
■0007853
9
4-03
•9999721
•0001186
2
•0007581
•0007317
9
8
4-04
4-05
•9999733
•9999744
■0001140
•0001094
2
2
•0007061
247
239
232
224
217
8
4-06
•9999755
10
10
9
9
9
•0001051
42
40
39
37
36
2
•0006814
8
407
•9999765
•0001009
2
•0006575
8
4-os
•9999775
•0000969
2
•0006343
8
4'09
•9999784
■0000930
0006119
7
4-10
■9999793
•0000893
•0005902
210
203
196
189
183
7
4-n
•9999802
8
8
8
7
7
•0000857
35
33
32
31
30
•0005693
7
4-12
•999981 1
•0000822
•0005490
7
4-13
•9999819
•0000789
•0005294
6
4-n
•9999826
•0000757
•0005105
6
4-15
•9999834
•0000726
•0004921
177
171
165
160
155
6
tie
•9999841
•0000697
28
•0004744
6
4-n
•9999848
7
■0000668
•0004673
6
4-is
•9999854
i
6
6
6
•0000641
27
26
25
24
•0004408
6
J,- J!)
•9999861
•0000615
•0004248
5
4-20
•9999867
•0000589
•0004093
149
144
139
135
130
5
4-21
•9999872
6
■0000565
23
22
22
21
20
•0003944
5
4-22
•9999878
•0000542
•0003800
5
4*s
•9999883
•0000519
•0003661
•0003526
5
5
4*4
4-25
■0999888
•9999893
5
5
•0000498
•0000477
•0003396
•0003271
125
121
117
113
109
4
4
4-26
4-27
•9999898
•9999902
4
4
4
4
4
•0000457
•0(XK)438
19
18
18
17
16
•0003149
4
4-2S
•9999907
•0000420
•0003032
4
4-29
•9999911
•0000402
•0002919
4
4'30
■9999915
•0000385
•0002810
105
102
98
95
91
4
4-si
•9999918
4
3
3
3
3
•0000369
16
15
14
14
13
•0002705
4
4-32
•9999922
•0000354
■0008604
4
4-33
'8998920
•0000339
0002606
3
4-34
•9999929
■0000324
•0002411
3
4-35
•9999932
•0000310
0002320
88
85
82
79
76
3
4'36
•9999935
3
•0000297
13
12
12
11
11
•0002232
3
4-37
•9999938
•0000284
•0002147
3
4-38
•9999941
3
3
2
•0000272
•0002065
3
4-39
•9999943
■0(100261
•0001987
3
4-40
•9999946
•0000249
•0001910
73
71
68
66
63
3
4-41
•9999948
9
•0000239
10
10
9
9
9
•0001837
3
4-42
•9999951
2
2
2
2
•0000228
•0001766
3
4-4S
•9999953
■0000218
■0001698
2
4-44
•9999955
■0000209
•0001633
2
4-45
•9999957
•0000200
•0001569
61
59
57
55
2
4-4fl
•9999959
2
B
•0000191
8
8
8
7
■0001508
2
4-47
•9999961
•0000183
•0001449
•0001393
2
2
4-48
4-49
4-50
•9999963
•9999964
2
2
•0000175
•0000167
0001338
2
•9999960
■0000160
Tables for Statisticians and Biometricians
TABLE II. Area and Ordinate in terms of Abscissa*.
X
i(i+o)
z
4-50
66023
159837
Jf-Bl
67586
152797
4~52
69080
146051
4'53
70508
139590
m
71873
133401
4-55
73177
127473
4-56
74423
121797
4-57
75614
116362
4-58
76751
111159
4-50
77838
106177
4-60
78875
101409
4-61
79867
96845
4-62
80813
92477
4-63
81717
88297
4-64
82580
84298
4-65
83403
80472
4-66
84190
76812
4-67
84940
73311
4-68
85056
69962
4-69
86340
66760
4-70
86992
63698
4-71
87614
60771
4'72
88208
57972
4'7S
88774
55296
7-74
89314
52739
4-75
89829
50295
476
90320
47960
4'77
90789
45728
4-78
91235
43596
4-70
91661
41559
4-80
92067
39613
4-81
92453
37755
4-82
92822
35980
4-83
93173
34285
4-84
93508
32667
4-85
93827
31122
4'86
94131
29647
.>,-s;
94420
28239
4-88
94696
26895
4-89
94958
25613
4-90
95208
24390
4-91
95446
23222
4-92
95673
22108
4-93
95889
21046
4-94
96094
20033
4-95
96289
19066
4'9(i
96475
18144
4-97
96652
17265
4-98
96821
16428
499
96981
15629
X
i(l+n)
z
o-oo
97133
14867
5-01
97278
14141
5-02
97416
13450
5-03
97548
12791
5-04
97672
12162
5V5
97791
11564
5-Uti
97904
10994
5V7
98011
10451
5V8
98113
9934
0V9
98210
9441
5-10
98302
8972
5-11
98389
8526
5-12
98472
8101
5-13
98551
7696
5-14
98626
7311
5-15
98698
6944
5-16
98765
6595
5-17
98830
6263
5-18
98891
5947
5-19
98949
5647
5-m
99004
5361
5-21
99056
5089
5-22
99105
4831
6-2$
99152
4585
5-24
99197
4351
5-25
99240
4128
6-26
99280
3917
5-27
99318
3716
5-28
99354
3525
5-29
99388
3344
530
99421
3171
6-31
99452
3007
5-32
99481
2852
5-33
99509
2704
5-34
99535
2563
5-35
99560
2430
5-36
99584
2303
5-37
99606
2183
5-38
99628
2069
5-39
99648
1960
5'40
99667
1857
5-41
99685
1760
5-42
99702
1667
0-43
99718
1579
5-44
99734
1495
5-45
99748
1416
5-46
99762
1341
5'47
99775
1270
5-48
99787
1202
5-49
99799
1138
X
*(!+«)
z
5-50
99810
1077
G-51
99821
1019
5-52
99831
965
5-53
99840
913
5-54
99849
864
5-55
99857
817
5-56
99865
773
5-57
99873
731
5-58
99880
691
5-59
99886
654
5-60
99893
618
561
99899
585
5-62
99905
553
5-63
99910
522
5-64
99915
494
5-65
99920
467
5-66
99924
441
5-67
99929
417
5-68
99933
394
6-69
99936
372
5-70
99940
351
5-71
99944
332
5-72
99947
313
5-7S
99950
296
5-74
99953
280
5-75
99955
264
6-76
99958
249
5-77
99960
235
5-78
99963
222
5-79
99965
210
5-SU
99967
198
5-81
99969
187
5-82
99971
176
5-83
99972
166
5-84
99974
157
B-8o
99975
148
6-86
99977
139
6-87
99978
131
5-88
99979
124
5-89
99981
117
5-90
99982
110
5-91
99983
104
r>-<)2
99984
98
6-98
99985
92
5-94
99986
87
5-95
99987
82
5-96
99987
77
6-97
99988
73
5-98
99989
68
699
99990
65
6V0
89890
61
* PreBx -99999 to each entry.
°f71
o oa
Tables of the Probability Integral 9
TABLE III. Abscissa and Ordinate in terms of difference of Areas.
■00
■01
•OS
■03
■04
■05
■06
■07
■08
■00
■10
■11
■12
•IS
■H
•16
■17
■18
■19
■20
■21
•so
■si
•32
■S3
■Sit
•SB
•86
■37
■38
■SO
■40
■41
■44
•45
■46
■47
■48
■49
■50
•ooooooo
•0125335
•0250689
•0376083
•0501536
•0627068
•0752699
•0878448
•1004337
•1130385
•1256613
•1383042
•1509692
•1636585
•1763742
•1891184
•2018935
■2147016
•2275450
•2404260
•2533471
•2663106
•2793190
•2923749
•3054808
•3186394
•3318533
•3451255
•3584588
•3718561
•3853205
•3988551
•4124631
•4261480
•4399132
•4537622
•4676988
•4817268
•4958503
•5100735
•5244005
•5388360
•5533847
•5680515
•5828415
•5977601
•6128130
•6280060
•6433454
•6588377
•6744898
A
+
125335
125354
125394
125453
125532
125631
125750
125889
126048
126228
126429
126650
126893
127157
127443
127751
128081
128434
128811
129211
129635
130084
130659
131059
131586
132140
132722
133333
133973
134644
135346
136081
136849
137652
138490
139366
140281
141235
142231
143271
144355
145487
146668
147900
149186
150529
151930
153394
154923
156521
A a
+
20
39
59
79
99
119
139
159
180
201
221
243
264
286
308
330
353
376
400
424
449
474
500
527
554
582
611
640
671
702
735
768
803
839
876
914
954
996
1039
1085
1132
1181
1232
1286
1342
1402
1464
1529
1598
1670
A 3
+
20
20
20
20
20
20
20
20
20
21
21
21
21
22
22
22
23
23
24
24
25
25
26
27
27
28
29
30
30
31
32
34
35
36
37
39
40
42
43
45
47
49
51
54
56
59
62
65
69
72
•3989423
•3989109
•3988169
■3986603
•3984408
•3981587
•3978138
•3974060
•3969353
■3964016
•3958049
•3951450
•3944218
•3936352
•3927852
•3918715
•3908939
•3898525
•3887469
•3875769
•3863425
•3850434
■3836794
•3822501
■3807555
•3791952
•3775690
•3758766
•3741177
•3722919
•3703990
•3684386
•3664103
•3643138
•3621487
•3599146
•3576109
•3552374
•3527935
•3502788
•3476926
•3450346
•3423041
•3395005
•3366233
•3336719
•3306455
•3275435
•3243652
•3211098
•3177766
313
940
1567
2194
2821
3449
4078
4707
5337
5967
6599
7232
7866
8501
9137
9775
10415
11056
11699
12344
12991
13641
14292
14946
15603
16262
16924
17589
18258
18929
19604
20283
20965
21651
22342
23036
23735
24439
25148
25861
26580
27305
28035
28772
29514
30264
31020
31783
32554
33333
627
627
627
627
627
628
628
629
630
631
632
633
634
635
636
638
640
641
643
645
647
649
652
654
657
659
662
665
668
672
675
679
682
686
690
695
699
704
709
714
719
725
730
736
743
749
756
763
771
779
787
A 3
2
2
2
2
2
2
2
3
3
3
3
3
3
3
4
4
4
4
4
4
5
5
5
5
6
6
6
6
7
7
7
7
8
8
10
Tables for Statisticians and Biometricians
TABLE III. Abscissa and Ordinate in terms of difference of Areas.
■50
■51
1
•(
•52
■53
,
n
•55
.
■56
■57
■58
•1
■59
•
■60
•1
•61
•1
■62
•1
■63
•(
■64.
•
■65
■
■66
•
•67
.;
■68
*
■69
11
■70
11
■71
11
•72
I'
•73
1-
•7k
1-
■75
1-
•76
1-
■77
1-
■78
I'
•79
1-
•80
I'
•6744898
•6903088
•7063026
•7224791
•7388468
•7554150
•7721932
•7891917
•8064212
•8238936
•8416212
•8596174
•8778963
■8964734
•9153651
•9345893
•9541653
•9741139
•9944579
•0152220
•0364334
•0581216
•0803193
•1030626
•1263911
•1503494
•1749868
•2003589
•2265281
•2535654
•2815516
A
+
158191
159937
161765
163678
165682
167782
169984
172296
174724
177276
179961
182789
185771
188917
192242
195760
199486
203440
207641
212114
216882
221977
227432
233286
239583
246374
253721
261693
270373
279861
A 2
+
1670
1747
1828
1913
2004
2100
2203
2312
2428
2552
2685
2828
2981
3147
3325
3518
3727
3954
4201
4472
4769
5095
5455
5854
6297
6792
7347
7972
8681
9488
10414
A 3
+
76
81
86
91
96
102
109
116
124
133
143
153
165
178
193
209
227
248
271
297
326
360
399
443
495
555
625
709
808
926
3177766
143646
3108732
3073013
3036481
2999125
2960936
2921902
2882013
2841256
2799619
2757089
2713653
2669295
2624000
2577753
2530535
2482330
2433117
2382877
2331588
2279226
2225767
2171185
2115451
2058535
2000405
1941024
1880356
1818357
1754983
34119
34915
35719
36532
37356
38189
39034
39889
40757
41637
42530
43437
44358
45295
46247
47217
48205
49213
50240
51289
52362
53459
54582
55734
56916
58130
59380
60669
61999
63374
A 3
787
795
804
814
823
834
844
856
867
880
893
907
921
937
953
970
988
1007
1028
1049
1072
1097
1123
1152
1182
1215
1250
1288
1330
1375
1425
A 3
9
9
9
10
10
11
11
12
12
13
14
15
15
16
17
18
19
20
22
23
25
26
28
30
33
35
38
42
45
50
Tables of the Probability Integral
11
TABLE IV.
Extension of Table of the Probability Integral F=^(l — a).
1 f°°
F=-f=\ e~te*dx. The table gives (— logJP) for x.
v2ttj x
X
-logF
X
-log J?
X
-log J 1
5
6-54265
SO
197-30921
50
544-96634
6
9-00586
SI
210-56940
60
783-90743
7
11-89285
82
224-26344
70
1066-26576
8
15-20614
S3
238-39135
80
1392-04459
9
18-94746
Sit
252-95315
90
1761-24604
10
23-11805
85
267-94888
100
2173-87154
11
27-71882
SO
283-37855
150
4888-38812
12
32-75044
vi
299-24218
200
8688-58977
13
38-21345
88
315-53979
250
13574-49960
H
44-10827
39
332-27139
300
19546-12790
15
50-43522
40
349-43701
350
26603-48018
10
57-19458
41
367-03664
400
34746-55970
n
64-38658
4*
385-07032
450
43975-36860
18
72-01140
43
403-53804
500
54289-40830
19
80-06919
44
422-43983
20
88-56010
45
441-77568
N.B. Toobtain anything
n
97-48422
46
461-54561
but a rough apprecia-
22
106-84167
47
481-74964
tion after x = 50, the
23
116-63253
48
502-38776
table would require
ft*
126-85686
49
523-45999
much extension, but
for many practical
25
137-51475
50
544-96634
problems it suffices to
26
148-60624
take after #=50:
27
16013139
28
172-09024
F= J_Vi*\
29
184-48283
n/2tt*
SO
197-30921
From each of the values in this table -30103 must be subtracted, if we wish to
obtain the probability 2F, then given by ( - log 2F), that the value is greater than .v.
without regard to sign.
2—2
12 Tables for Statisticians and Biometricians
TABLE V. Probable Errors of Means and Standard Deviations.
n
Xi
X*
1
•67449
•47694
2
•47694
•33724
3
•38942
•27536
4
•33724
•23847
5
•30164
•21329
6
•27536
•19471
7
•25493
•18026
8
•23847
•16862
9
•22483
•15898
10
•21329
•15082
11
•20337
•14380
12
•19471
•13768
13
•18707
•13228
U
•18026
•12747
15
•17415
•12314
16
•16862
•11923
17
•16359
•11567
18
•15898
•11241
19
•15474
•10942
20
•1508-2
•10665
21
•14719
•10408
22
•14380
•10168
23
•14064
•09945
2J t
•13768
•09735
25
•13490
•09539
26
•13228
•09353
27
•12981
•09179
28
•12747
•09013
29
•12525
•08856
SO
•12314
•08708
31
•12114
•08566
32
•11923
•08431
S3
•11741
•08302
34
•11567
•08179
35
•11401
•08062
36
•11241
•07949
S7
•11088
•07841
S8
•10942
•07737
39
•10800
•07637
40
•10665
•07541
41
•10534
•07448
42
•10408
•07359
43
•10286
•07273
44
•10168
•07190
45
•10055
•07110
46
•09946
•07032
47
•09838
•06957
48
•09735
•06884
49
•09636
•06813
50
•09539
•06745
n
51
*i
x 2
•09445
•06678
52
•09353
•06614
53
•09265
•06551
54
•09179
•06490
55
•09095
•06431
56
•09013
•06373
57
•08934
•06317
58
•08856
•06262
59
•08781
•06209
60
•08708
•06157
61
•08C36
•06107
68
•08566
•06057
63
•08198
•06009
64
•08431
•05962
65
•08366
■05916
66
•08302
•05871
67
•08240
•05827
68
•08179
•05784
69
•08120
•05742
70
•08062
•05700
71
•08005
•05660
72
•07949
•05621
73
•07894
•05582
U
■07841
•05544
75
•07788
•05507
76
•07737
•05471
77
•07687
■05435
78
•07637
•05400
79
•07589
•05366
80
•07541
•05332
81
•07494
•05299
82
•07448
•05267
8S
•07403
•05235
84
•07359
•05204
85
•07316
•05173
86
•07273
•05143
87
•07231
■05113
88
•07190
•05084
89
•07150
•05056
90
•07110
•05027
91
•07071
•05000
92
•07032
•04972
93
•06994
•04946
94
•06957
•04919
95
•06920
•04893
96
•06884
•04868
97
•06848
•04843
98
•06813
•04818
99
•06779
•04793
100
•06745
•04769
n
Xi
X 2
101
•06711
•04746
102
•06678
•04722
103
•06646
•04699
104
■06614
•04677
105
•06582
•04654
106
•06551
•04632
107
•06521
•04611
108
•06490
•04589
109
■06460
•04568
110
•06431
•04547
111
•06402
•04527
112
•06373
•04507
113
•06345
■04487
114
•06317
•04467
115
•06290
•04447
116
■06262
•04428
117
•06236
•04409
118
•06209
•04391
119
•06183
•04372
120
■06157
•04354
121
•06132
•04336
122
•06107
•04318
123
•06082
•04300
124
•06057
•04283
125
•06033
•04266
126
•06009
•04249
127
•05985
•04232
128
•05962
•04216
129
•05939
■04199
130
•05916
•04183
1S1
■05893
•04167
132
•05871
•04151
133
•05849
•04136
134
•05827
•04120
135
•05805
•04105
136
•05784
•04090
1S7
•05763
■04075
188
•05742
•04060
139
•05721
•04045
140
•05700
•04031
141
■05680
■04017
142
•05660
•04002
143
•05640
•03988
144
•05621
■03974
11,5
•05601
■03961
146
•05582
•03947
W
•05563
■03934
148
•05544
■03920
149
•05526
•03907
150
•05507
•03894
Tables for Facilitating the Computation of Probable Errors Yd
TABLE V. Probable Errors of Means and Standard Deviations.
n
x %
Xl
151
•05489
•03881
152
•05471
•03868
153
•05453
•03856
154
•05435
•03843
155
•05418
•03831
156
•05400
•03819
157
•05383
•03806
158
•05366
•03794
159
•05349
•03782
1G0
•05332
•03771
161
•05316
•03759
162
•05299
•03747
16S
•05283
•03736
164
•05267
•03724
165
•05251
•03713
166
•05235
•03702
167
•05219
•03691
168
•05204
•03680
169
•05188
•03669
170
•05173
•03658
171
•05158
•03647
172
■05143
•03637
173
•05128
•03626
174
•05113
•03616
175
•05099
•03605
176
•05084
•03595
177
•05070
•03585
178
•05056
■03575
179
•05041
•03565
180
•05027
•03555
181
•05013
03545
182
•05000
•03535
183
•04986
•03526
184
•04972
03516
185
•04959
•03507
186
•04946
•03497
187
•04932
•03488
188
•04919
•03478
189
•04906
•03469
190
•04893
•03460
191
•04880
•03451
192
•04868
•03442
193
•04855
•03433
194
•04843
•03424
195
■04830
•03415
196
•04818
•03407
197
•04806
•03398
198
•04793
•03389
199
•04781
•03381
200
•04769
•03372
n
X|
*2
201
•04757
•03364
202
•04746
•03356
203
•04734
•03347
204
•04722
•03339
205
•04711
•03331
206
•04699
•03323
207
•04688
•03315
ao8
•04677
•03307
209
•04666
•03299
210
•04654
•03291
211
•04643
•03283
212
•04632
•03276
213
•04622
•03268
214
•04611
•03260
215
•04600
•03253
216
•04589
•03245
217
•04579
•03238
218
•04568
•03230
219
•04558
•03223
220
•04547
•03216
221
•04537
•03208
222
•04527
•03201
223
•04517
•03194
224
•04507
•03187
225
•04497
•03180
226
•04487
•03173
227
•04477
•03166
228
•04467
■03159
229
•04457
•03152
230
•04447
•03145
231
•04438
•03138
232
•04428
•03131
233
•04419
•03125
234
•04409
•03118
235
•04400
•03111
236
•04391
•03105
237
•04381
■03098
238
•04372
•03092
239
•04363
•03085
240
•04354
•03079
241
•04345
•03172
242
•04336
•03066
243
•04327
•03060
244
•04318
•03053
245
•04309
•03047
246
•04300
•03041
247
•04292
•03035
248
•04283
•03029
249
•04274
•03022
250
•04266
•03016
251
252
253
254
255
256
257
258
259
261
262
263
264
265
266
267
268
269
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
•04257
•04249
•04240
•04232
•04224
•04216
•04207
•04199
•04191
•04183
•04175
•04167
•04159
•04151
•04143
•04136
•04128
•04120
•04112
•04105
•04097
•04090
•04082
•04075
•04067
•04060
•04053
■04045
•04038
•04031
•04024
•04017
•04009
•04002
•03995
•03988
•03981
•03974
•03968
•03961
•03954
•03947
•03940
•03934
•03927
•03920
•03913
•03907
•03901
■03894
•03010
•03004
•02998
•02993
•02987
•02981
•02975
•02969
•02964
•02958
•02952
•02947
•02941
•02935
•02930
•02924
•02919
•02913
•02908
•02903
•02897
•02892
•02887
•02881
•02876
•02871
•02866
•02860
•02855
•02850
•02845
•02840
•02835
•02830
•02825
•02820
•02815
•02810
•02806
•02801
•02796
•02791
■08786
•02782
•02777
•02772
•02767
•02763
•02758
•02754
14 Tables for Statisticians and Biometricians
TABLE V. Probable Errors of Meam and Standard Deviations.
X,
301
302
SOS
304
sun
see
807
sos
S09
■•no
■111
SIS
SIS
314
315
816
317
318
319
3.20
■:>.'
323
324
325
SM
327
331
334
385
836
339
340
341
842
.;>,.;
344
345
347
348
849
850
•03888
•03881
•03875
•038C8
•03862
•0385G
•03850
•03843
■03837
•03831
•03825
■0381!)
•03812
•03800
•03800
•03794
•03788
•03782
•03776
•03771
•03765
•03759
03753
■03747
■03741
•03736
■03730
•03724
•03719
•03713
•03707
•03702
■03696
•03691
■03685
•03680
•03674
•03669
■03663
•03658
•03653
•03647
•03642
•03637
■03631
•03626
•03621
•03616
•03610
■03605
■02749
•02744
•02740
•02735
•02731
•02726
•02722
■02718
•02713
•02709
•02704
•02700
■02696
•02692
•02687
•02683
•02679
•02675
•02670
■02600
•02662
•02658
•02651
•02650
•02646
■02642
•02637
•02633
•02629
•02625
•02621
•02618
•02614
•02610
•02606
•02602
•02598
■02594
•02590
•02587
•02583
•02579
•02575
•02571
•02568
•02564
•02560
•02557
•02553
•02549
n
*i
X-2
SSI
•03600
•02546
sss
•03595
•02542
SS3
•03590
•02538
864
•03585
•02535
SSG
•03580
•02531
sss
•03575
•02528
557
•03570
•02524
358
•03505
•02521
SSS
•03560
•02517
see
•03555
•02514
301
•03550
•02510
sen
•03545
•02507
sea
•03540
•02503
304
•03535
•02500
305
•03530
•02496
366
•03526
•02493
367
•03521
•02490
868
•03516
•02486
809
•03511
•02483
370
•03507
•02479
371
•03502
•02476
372
•03497
•02473
373
•03492
•02469
874
•03488
•02466
875
•03483
•02463
876
•03478
•02460
377
•03474
•02456
878
•03469
•02453
379
•03465
•02450
880
•03460
•02447
381
•03456
•02443
882
•03451
•02440
883
•03446
•02437
384
•03442
•02434
385
•03438
•02431
886
03433
•02428
387
•03429
■02424
388
•03424
•02421
889
•03420
•02418
390
•03415
•02415
891
•03411
•02412
392
•03407
•02409
393
•03402
•02406
894
•03398
•02403
395
•03394
•02400
396
•03389
•02397
397
•03385
•02394
398
•03381
•02391
399
•03377
•02388
400
•03372
•02385
401
4<)2
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
42s
W
425
427
428
429
430
431
432
433
434
435
436
437
440
441
442
443
444
445
446
447
448
449
450
*i
•03368
•03364
•03360
•03356
•03352
•03347
•03343
•03339
•03335
•03331
•03327
•03323
•03319
•03315
•03311
•03307
•03303
•03299
•03295
•03291
•03287
•03283
•03279
•03276
•03272
•03268
•03204
•03200
•03256
•03253
■03249
■03245
•03241
•03238
•03234
•03230
•03227
•03223
•03219
•03216
•03212
•03208
•03205
•03201
•03197
•03194
•03190
•03187
•03183
•03180
•02382
•02379
•02376
•02373
•02370
•02307
•02364
•02361
•02358
•02355
•02353
•02350
•02347
•02344
•02341
•02338
•02330
•02333
•02330
•02327
■02324
■02322
•02319
•02316
•02313
•02311
•02308
•02305
•02303
•02300
•02297
■02295
•02292
•02289
•02287
•02284
•02281
•02279
•02276
•02274
•02271
•02269
•02266
•02263
•02261
•02258
•02256
•02253
•02251
•02248
Tables for Facilitating the Computation of Probable Errors 15
TABLE V. Probable Errors of Means and Standard Deviations.
11
Xl
*2
451
•03176
•02246
452
•031 73
•02243
453
•03169
•02241
454
•03166
•02238
455
•03162
•02236
456
•03159
■02233
457
•03155
•02231
458
•03152
•02229
459
•03148
•02226
400
•03145
•02224
461
■03141
•02221
462
•03138
•02219
463
•03135
•02217
464
•03131
•02214
465
•03128
•02212
466
•03125
•02209
467
•03121
•02207
468
•03118
•02205
469
•03115
•02202
470
•03111
•02200
471
•03108
•02198
472
•03105
•02195
473
•03101
•02193
474
•03098
■02191
475
•03095
•02188
4.76
03092
•02186
477
•03088
•02184
478
•03085
•02181
479
•03082
•02179
480
•03079
•02177
481
•03075
•02175
482
■03072
•02172
483
•03069
•02170
484
•03066
•02168
485
•03063
•02166
486
•03060
•02163
487
•03056
•02161
488
•03053
•02159
489
•03050
•02157
400
•03047
•02155
491
•03044
•02152-
492
•03041
•02150
403
•03038
•02148
494
•03035
•02146
495
•03032
•02144
496
•03029
•02142
497
•03026
•02139
498
•03022
•02137
499
•03019
•02135
500
•03010
•02133
n
Xi
*2
501
•03013
•02131
502
•03010
•02129
503
•03007
•02127
504
•03004
•02124
505
•03001
•02122
506
•02998
•02120
507
•02996
•02118
508
•02993
•02116
509
•02990
•02114
510
•02987
•02112
511
•02984
•02110
512
■02981
•02108
513
•02978
•02106
514
•02975
•02104
515
•02972
•02102
516
•02969
•02100
517
•02966
•02098
518
•02964
•02096
519
•02961
•02094
520
•02958
•02092
521
•02955
•02089
522
•02952
•02087
523
•02949
•02085
524
•02947
•02084
525
•02944
■02082
526
•02941
•02080
527
•02938
•02078
528
•02935
•02076
529
•02933
•02074
530
•02930
•02072
681
•02927
•02070
532
•02924
•02068
5-13
•02922
■02066
684
•02919
•02064
586
•02916
•02062
536
•02913
•02060
537
•02911
•02058
538
•02908
■02056
539
•02905
•02054
540
•02903
•02052
541
•02900
•02051
542
■02897
•02049
543
•02895
•02047
544
•02892
•02045
545
•02889
•02043
546
•02887
•02041
547
•02884
•02039
548
•02881
•02037
549
•02879
•02036
550
•02876
•02034
n
X,
x 2
551
•02873
•02032
552
•02871
•02030
553
•02868
•02028
554
•02866
•02026
555
•02863
•02024
556
•02860
•02023
557
•02858
•02021
558
•02855
•02019
559
•02853
•02017
560
•02850
•02015
561
•02848
•02014
562
•02845
■02012
688
•02843
•02010
564
•02840
•02008
565
•02838
•02006
566
•02835
■02005
567
•02833
•02003
568
•02830
•02001
569
•02828
•01999
570
•02825
•01998
571
•02823
•01996
572
•02820
•01994
573
•02818
•01992
574
■02815
•01991
575
•02813
•01990
576
•02810
•01987
577
•02808
•01986
578
•02806
•01984
579
•02803
•01982
580
•02801
•01980
581
•02798
•01978
582
•02796
•01977
583
•02793
•01975
584
•02791
•01974
585
•02789
•01972
586
•02786
•01970
587
•02784
•01969
588
•02782
•01967
589
•02779
•01965
590
•02777
•01964
591
•02774
•01962
592
•02772
•01960
593
•02770
•01959
594
•02767
•01957
595
•02765
•01955
596
•02763
•01954
597
•02761
•01952
598
•02758
•01950
599
•02756
•01949
600
•02754
•01947
16 Tables for Statisticians and Biometricians
TABLE V. Probable Errors of Means and Standard Deviations.
n
*i
X,
601
•02751
•01945
602
•02749
•01944
60S
•02747
•01942
604
•02744
•01941
605
•02742
•01939
606
•02740
•01937
607
•02738
•01936
60S
•02735
•01934
600
•02733
•01933
610
•02731
•01931
611
•02729
•01929
612
•02726
•01928
613
•02724
•01926
614
•02722
•01925
615
•02720
•01923
616
•02718
•01922
617
•02715
■01920
618
•02713
•01919
619
•02711
•01917
620
•02709
•01915
621
•02707
•01914
622
•02704
•01912
623
•02702
•01911
624
•02700
■01909
625
•02698
•01908
626
•02696
•01906
627
•02694
•01905
628
•02692
•01903
620
•02689
•01902
630
•02687
•01900
6S1
■02685
•01899
632
•02683
•01897
633
•02681
•01896
634
•02679
•01894
635
•02677
•01893
636
•02675
•01891
637
•02672
•01890
638
•02670
•01888
639
•02668
•01887
640
•02666
•01885
641
•02664
•01884
642
•02662
•01822
643
•02660
•01881
644
•02658
•01879
645
•02656
•01878
646
•02654
•01876
647
•02652
■01875
648
•02650
•01874
640
•02648
•01872
650
•02646
•01871
n
X,
X,
651
•02644
•01869
652
•02642
•01868
653
•02639
•01866
654
•02637
•01865
655
•02635
•01864
656
•02633
■01862
657
•02631
•01861
658
•02629
•01859
659
•02627
•01858
660
•02625
•01856
661
•02623
•01855
662
•02621
•01854
663
•02620
•01852
664
•02618
•01851
665
•02616
•01849
666
•02614
•01848
667
•02612
•01847
668
•02610
•01845
669
•02608
•01844
670
•02606
•01843
671
•02604
•01841
672
•02602
•01840
673
■02600
■01838
674
•02598
•01837
675
•02596
•01836
676
•02594
•01834
677
•02592
■01833
678
•02590
•01832
679
•02588
•01830
680
•02587
•01829
681
•02585
•01828
682
•02583
•01826
683
■02581
•01825
684
•02579
•01824
685
•02577
•01822
686
•02575
•01821
687
•02573
•01820
688
•02571
•01818
689
•02570
•01817
690
•02568
•01816
691
•02566
•01814
692
•02564
•01813
693
•02562
•01812
694
•02560
•01810
695
•02558
•01809
696
•02557
•01808
697
•02555
•01807
698
•02553
•01805
699
•02551
•01804
700
•02549
•01803
n
Xt
x 2
701
•02548
•01801
702
•02546
•01800
703
•02544
•01799
704
•02542
•01798
705
•02540
•01796
706
•02538
•01795
707
•02537
•01794
708
•02535
•01792
709
•02533
■01791
710
•02531
•01790
711
•02530
•01789
712
•02528
•01787
713
•02526
•01786
714
•02524
•01785
715
•02522
•01784
716
•02521
•01782
717
•02519
•01781
718
•02517
■01780
719
•02515
•01779
720
•02514
•01777
721
•02512
■01776
722
•02510
•01775
723
•02508
•01774
724
•02507
•01773
725
•02505
•01771
726
•02503
■01770
727
•02502
■01769
728
•02500
•01768
729
•02498
•01766
730
•02496
•01765
731
•02495
•01764
732
•02493
•01763
733
•02491
•01762
784
•02490
•01760
785
•02488
•01759
786
•02486
•01758
737
•02485
•01757
788
•02483
•01756
739
•02481
•01754
740
•02479
•01753
741
•02478
•01752
742
•02476
•01751
743
•02474
•01750
744
•02473
•01749
745
•02471
•01747
746
•02469
•01746
747
•02468
•01745
74s
■02466
•01744
749
•02465
•01743
750
•02463
•01742
Tables for Facilitating the Computation of Probable Errors 17
TABLE V. Probable Errors of Means and Standard Deviations.
n
Xi
X,
751
•02461
■01740
751
•02460
•01739
7.-,.:
•02458
•01738
754
•02456
•01737
755
•02455
•01736
756
•02453
•01735
757
•02451
•01733
75S
•02450
•01732
750
•02448
•01731
760
•02447
•01730
761
•02445
•01729
76 !
•02443
•01728
763
•02442
•01727
764
•02440
•01725
765
•0243!)
•01724
766
•02437
•01723
767
•02435
•01722
768
•02434
.•01721
769
•02432
•01720
770
■02431
•01719
771
•02429
•01718
772
•02428
•01717
778
•02420
•01715
77.4
•02424
•01714
775
•02423
•01713
776
•02421
•01712
777
•02420
•01711
778
•02418
•01710
779
•02417
•01709
780
•02415
•01708
781
•02414
•01707
78!
•02412
•01706
783
•02410
•01704
784
•02409
•01703
785
•02407
•01702
786
•02406
•01701
787
•02404
•01700
78S
•02403
•01699
789
•02401
•01698
790
•02400
•01697
791
•02398
■01696
792
•02397
•01695
793
•02395
•01094
794
•02394
•01693
795
•02392
■01692
796
•02391
■01690
797
•02389
•010.-.9
798
•02388
•01688
799
•02386
■01687
800
•02385
•01686
n
X-i
*2
801
•02383
•01685
802
•02382
•01684
803
•02380
•01683
804
•02379
•01682
805
•02377
•01681
806
•02376
•01680
807
•02374
■01679
808
•02373
•01678
809
•02371
■01677
810
•02370
•01676
811
•02368
•01675
812
•02367
•01674
813
•02366
•01673
814
•02364
•01672
815
•02363
•01671
816
•02361
■01670
817
•02360
•016G9
818
•02358
■01668
819
■02357
•01667
820
•02355
•01666
821
•02354
•01605
822
■02363
•01664
883
•02351
•01662
824
•02350
•01661
8*5
•02348
•01GG0
826
•02347
•01659
827
•02345
•01658
828
•02344
•01657
829
■02343
•01G56
830
•02341
•01655
831
•02340
•01654
832
•02338
•01653
833
•02337
•01652
834
•02336
•01651
835
•02334
•01651
836
•02333
•01650
837
•02331
•01649
838
•02330
•01648
839
•02329
•01647
840
•02327
•01646
8!,1
•02326
•01645
86 .'
•0232 1
•01644
8+S
•02323
•01643
844
•02322
•01642
845
•02320
•01641
846
•02319
■01640
847
•02318
•01G3!)
848
•02316
■01638
840
•02315
•01637
850
•02313
•01636
n
*i
* 2
851
•02312
•01635
852
•02311
•01634
853
•02309
•01G33
854
•02308
•01632
855
•02307
01631
856
•02305
•01630
857
•02304
•01629
858
•02303
•01628
859
•02301
•01627
860
•02300
•01626
861
•02299
•01625
862
•02297
•01624
863
•02296
•01624
864
•02295
■01623
865
•02293
•01622
866
•02292
•01G21
867
•02291
•01G20
868
•02289
•01619
869
•02288
•01618
870
•02287
•01017
871
■02285
•01616
872
•02284
•01615
873
•02283
•01614
874
•02281
•01613
875
■02280
•01612
876
•02279
■01611
877
•02278
•01610
878
■02276
•01610
879
•02275
■01609
8S0
•02274
•01608
8S1
•02272
•01607
882
■02271
■01606
883
•02270
•01605
884
•02269
•01604
885
•02267
•01603
886
•02266
•01602
887
•02265
•01001
888
•02263
•01600
889
•02262
•01600
890
■02261
•01599
891
•02260
•01598
892
•02258
•01597
893
•02257
•01596
894
•02256
•01595
895
•02255
01594
896
•02253
•01593
897
•02252
•01592
898
•02251
•01592
899
■O2250
•01591
900
•02248
•01590
1
B.
18 Tables for Statisticians and Bionielricians
TABLE V. TABLE VI.
Probable Errors of Means and Standard Deviations. Probable Errors of Coefficient of Variation.
V
+
A
A 2
A 3
'a
X,
*2
n
Xi
*2
+
+
+
901
•02247
•01589
951
•02187
•01547
1
2
3
4
5
o-ooooo
1-00010
2-00080
3-00270
4-00639
5-01248
1 -oooio
60
120
180
239
299
60
90%
•02246
■01588
952
•02186
•01546
1-00070
60
90S
•02245
•01587
953
•02185
•01545
1-00190
60
904
•02243
•01586
954
•02184
•01544
1-00370
60
905
■02242
•01585
955
•02183
•01543
1-00609
59
906
•02241
•01585
956
•02181
•01543
6
7
8
9
10
6-02156
7-03422
8-05104
9-07261
10-09050
1 -00908
358
417
475
533
590
59
907
•02240
•01584
957
•02180
•01542
1-01266
59
908
•02238
•01583
968
•02179
•01541
1-01682
58
909
•02237
■01582
959
•02178
•01540
1-02157
58
910
•02236
•01581
960
•02177
•01539
1-02690
57
911
•02235
•01580
961
•02176
•01539
11
12
18
14
15
11-13230
12-17157
13-21787
14-27176
15-33379
1-03280
647
703
759
814
868
57
912
•02233
•01579
966
•02175
■01538
1-03927
56
91S
•02232
•01578
96S
•02174
•01537
1 -04630
56
914
•02231
•01578
964
•02172
■01536
1-05389
55
915
•02230
•01577
965
•02171
•01535
1-06202
54
91G
•02229
•01576
966
•02170
•01535
16
17
18
19
20
16-40449
17-48440
18-57405
19-67395
20-78461
1-07070
921
974
1025
1076
1126
53
917
•02227
•01575
967
•02169
■01534
1 -07991
53
918
•02226
•01574
968
•02168
•01533
1 -08965
52
919
•02225
•01573
969
•02167
•01532
1-09990
51
920
•02224
•01572
970
•02166
•01531
1-11066
50
921
•02223
•01572
971
•02165
■01531
21
9$
21-90653
23-04021
24-18612
25-34473
26-51650
1-12192
1175
1223
1270
1316
1362
49
92$
•02221
•01571
972
•02163
•01530
1-13368
48
923
•02220
•01570
973
•02162
•01529
OQ
1-14591
47
924
996
•02219
•02218
•01569
•01568
974
975
•02161
•02160
•01 528
•01527
CO
..'4
25
1-15861
1-17177
46
45
926
•02217
•01567
976
•02159
•01527
26
27
28
29
SO
27-70190
28-90135
30-11530
31-34416
32-58834
1-1853'.)
1 106
1449
1491
1533
1573
44
927
•02215
•01566
977
•02158
•01526
1-19945
43
928
•02214
•01566
97S
•02157
•01525
1-21395
42
929
•02213
•01565
979
•02156
•01524
1-22886
41
980
•02212
•01564
980
•02155
•01524
1-24418
40
931
•02211
•01563
981
•02153
•01523
31
82
38
33-84825
35-12428
36'41681
37-72621
39 05285
1-25991
1612
1650
1687
1723
1758
39
932
•02209
•01562
982
•02152
•01522
1-27603
38
933
•02208
•01561
988
•02151
•01521
1 -29253
37
934
•02207
•01561
984
•02150
•01520
1-30940
30
935
•02206
•01560
985
•02149
•01520
04
35
1-32664
35
936
•02205
■01559
986
•02148
•01519
86
37
38
39
40
40-39707
41-75922
43-13962
44-53861
45-95650
1-34422
1793
1826
1858
1890
1920
34
987
•02203
•01558
987
■02147
•01518
1-36215
33
938
•02202
•01557
988
•02146
•01517
1 -38041
32
939
•02201
•0155(i
989
•02145
•01517
1-39899
31
940
•02200
■01556
990
•02144
•01516
1-41789
30
941
•02199
•01555
991
•02143
•01515
41
42
43
44
45
47-39359
48-85017
50-32654
51-82296
53-33971
1-43709
1950
1978
2006
2033
2059
30
942
•02198
•01554
992
•02142
■01514
1 -45658
29
943
944
•02196
■11219.")
•01553
•01552
998
994
•02140
•02139
•01514
•01513
1 -47636
1-49642
28
27
945
•02194
■01551
995
•02138
•01512
1-51675
26
946
•02193
•01551
996
•02137
•01511
46
47
48
49
50
54-87706
56-43524
58-01451
59-61510
61 -83784
1-53734
2084
2109
2132
2155
2177
25
947
•(12192
•01550
997
•02136
•01510
1-55818
24
94S
•02191
•01549
998
•02 1 33
•01510
1-57927
24
9.'i9
•02189
•01548
999
•02131
•01509
1-60059
23
950
•02188
•015 17
1000
•02133
•01508
1-62214
22
Probable Error of a Coefficient of Correlation 19
TABLE VII. Abac for Probable Errors of r.
Scale of Correlation
o
Scale t
>-Ocftcor-(Om ■* co
/" Probable Errors
cn •— O oi cp r~-
: - ±:
1
i
-
i
i
c
t
t
3
bP
V//////
{/////ft
8
8
CO
o
o
r-
O
o
to
ill
tVtV
////////
/ / / 1 / / 1
8
CO
8
to
//////
' 1 / /
1 1 1 1 1 1 1
' / / / / / /
II III )i 1 .
'/III 1 1 I
/ / / / / /
Villi
1 1 / ii
1 / / 1 I 1 I
/ / / / / /
ill J .
1 / 1
1 1 1 1 1 1 I
/■1 / 1 /
-
-J
4-r
rQ4U
+UU-
L/ / / / /
o
o
TTTT +i""
^
m
-Hm
hPfmm
/ / / / /
VVr/
mill
/ / / / /
' / / 1 T
^
Wh
/////
/ / / /
o
o
o
o
CO
/////
w,
/ 11
Wf
H-hHh
tH—h-f ;
8
8
CO
j,.;
7 / /!/ ///
/ / / / >
/ ■/ f /
/ / /
T " *
7:4
'/y/ //■/
1 1 / / 1
i. -
/ / /
////
'//
1 f/i
III /
^
///
i/ i
in
'ii/i
/ / /
k
m
^
'-m
iJJ-U
/ / / /
8
CN
8
8
O
CO
O
r-
8
i
m
w
Wi
W&-
T ^ l
' / / /
—1 1 -/
8
s!
7 //
/ /
1 i 1
ill
1/1
/ / /
///
//
III
III I
/iii
/ / /
/ / '
//
III
1 1 /
1 ' 1
/ /'
'
V ^
lilt
/III
1 / /
/ii /
1
/ A
III/
/III
1 1 / 1
/ 1 1
//
1 1
iiii
III,
111
ill
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Abac for determiuing the Probable Errors of Correlation Coefficients.
3—2
20
Tables for Statisticians and Biometricians
TABLE VIII. Values of 1 - r"- for r = '001 to -999.
Values of 1 — r-.
r
■000
■001
•002
•003
•004
■005
•006
■007
•008
■009
■000
1-000 000
■999 999
•999 996
•999 991
•999 984
■999 975
■999 964
•999 951
•999 936
•999 919
■010
•999 900
•999 879
■999 856
■999 831
•999 804
■999 775
•999 744
•999 711
•999 676
•999 639
■020
•999 600
•999 559
•999 516
•999 471
•999 424
•999 375
•999 324
•999 271
•999 216
■999 159
■030
•999 100
•999 039
•998 976
•998 911
•998 844
•998 775
•998 704
•998 631
•998 556
•998 479
■040
•998 400
■998 319
•998 236
•998 151
•998 064
•997 975
•997 884
•997 791
■997 696
•997 599
■050
•997 500
•997 399
•997 296
•997 191
•997 084
■996 975
■996 864
•996 751
■996 636
•996 519
■060
•996 400
■996 279
•996 156
•996 031
•995 904
■995 775
•995 644
•995 511
•995 376
■995 239
■070
•995 100
•994 959
'994 816
•994 671
■994 524
•994 375
•994 224
•994 071
•993 916
•993 759
■080
•993 600
■993 439
•993 276
•993 111
•992 944
•992 775
■992 604
•992 431
•992 256
•992 079
■090
•991 900
■991 719
•991 536
•991 351 -991 164
■990 975
■990 784
•990 591
■990 396
■990 199
■100
•990 000
•989 799
■989 596
•989 391 -989 184
•988 975
•988 764
•988 551
•988 336
•988 119
■110
•987 900
•987 679
■987 456
•987 231
•987 004
•986 775
■986 544
•986 311
•986 076
•985 839
■120
•985 600
•985 359
■985 116
•984 871
•984 624
•984 375
■984 124
•983 871
•983 616
■983 359
■ISO
•983 100
•982 839
■982 576
•982 311
•982 044
•981 775
•981 504
•981 231
■980 956
■980 679
•lJfl
•980 400
■980 119
■979 836
•979 551
•979 264
•978 975
•978 684
•978 391
•978 096
•977 799
■150
•977 500
■977 199
•976 896
•976 591
•976 284
•975 975
•975 664
•975 351
•975 036
•974 719
■160
•974 400
•974 079
•973 756
•973 431
•973 104
•972 775
•972 444
•972 111
•971 776
•971 439
•170
•971 100
•970 759
•970 416
•970 071
•969 724
•969 375
•969 024
•968 671
■968 316
•967 959
■180
•967 600
■967 239
•966 876
•966 511
•966 144
•965 775
■965 404
•965 031
■904 656
•964 279
■190
■963 900
■963 519
•963 136
•962 751
•962 364
•961 975
•961 584
•961 191
•960 796
•960 399
•200
•960 000
•959 599
•959 196
•958 791
•958 384
■957 975
•957 564
•957 151
•956 736
•956 319
•210
•955 900
•955 479
•955 056
•954 631
•954 204
•953 775
•953 344
•952 911
•952 476
•952 039
■220
■951 600
■951 159
•950 716
■950 271
•949 824
•949 375
•948 924
•948 471
•948 016
•947 559
•2S0
•947 100
•946 639
•946 176
•945 711
•945 244
•944 775
•944 304
•943 831
•943 356
•942 879
■240
•942 400
•941 919
•941 436
•940 951
■940 464
■939 975
•939 484
•938 991
•938 496
•937 999
■250
•937 500
•936 999
•936 496
•935 991
•935 484
•934 975
•934 464
•933 951
•933 436
•932 919
•260
•932 400
•931 879
•931 356
•930 831
•930 304
■929 775
•929 244
•928 711
•928 176
•927 639
•2-70
•927 100
•926 559
•926 016
•925 471
•924 924
•924 375
•923 824
•923 271
•922 716
•922 159
■280
•921 600
•921 039
•920 476
•919 911
•919 344
•918 775
•918 204
•917 631
•917 056
•916 479
■290
•915 900
•915 319
•914 736
■914 151
•913 564
•912 975
•912 384
■911 791
■911 196
•910 599
■800
•910 000
•909 399
•908 796
•908 191
•907 584
•906 975
•906 364
•905 751
■905 136
•904 519
■310
■903 900
•903 279
•902 656
•902 031
•901 404
•900 775
•900 144
•899 511
•898 876
•898 239
■320
•897 600
•896 959
•896 316
•895 671
•895 024
•894 375
•893 724
■893 071
•892 416
•891 759
■830
•891 100
•890 439
•889 776
•889 111
■888 444
•887 775
•887 104
•886 431
•885 756
•885 079
■3.1,0
•884 400
•883 719
•883 036
•882 351
■881 664
•880 975
■880 284
•879 591
■878 896
■878 199
■350
•877 500
•876 799
•876 096
■875 391
•874 684
•873 975
•873 264
•872 551
•871 836
•871 119
■360
•870 400
•869 679
•868 956
•868 231
•867 504
■866 775
•866 044
•865 311
•864 576
•863 839
■370
•863 100
•862 359
•861 616
•860 871
•860 124
•859 375
•858 624
•857 871
•857 116
•856 359
■380
•855 600
■854 839
•854 076
•853 311
■852 544
•851 775
•851 004
•850 231
•849 456
•848 679
•390
•847 900
•847 119
•846 336
•845 551
•844 764
•843 975
■843 184
•842 391
•841 596
•840 799
■400
•840 000
•839 199
•838 396
■837 591
•836 784
•835 975
•835 164
■834 351
•833 536
•832 719
■410
•831 900
•831 079
•830 256
•829 431
•828 604
•827 775
•826 944
•826 111
•825 276
•824 439
■420
•823 600
•822 759
•821 916
•821 071
•820 224
•819 375
•818 524
■817 671
•816 816
•815 959
•430
•815 100
■814 239
•813 376
•812 511
•811 644
•810 775
•809 904
•809 031
•808 156
•807 279
■440
•806 400
•805 519
•804 636
•803 751
•802 864
•801 975
■801 084
■800 191
•799 296
•798 399
■450
•797 500
•796 599
•795 696
•794 791
•793 884
•792 975
•792 064
•791 151
■790 236
•789 319
•460
•788 400
•787 479
•786 556
•785 631
•784 704
•783 775
•782 844
•781 911
•780 976
•780 039
■470
•779 100
•778 159
•777 216
•776 271
•775 324
•774 375
•773 424
•772 471
•771 516
•770 559
■480
•769 600
•768 639
•767 676
•766 711
•765 744
•764 775
•763 804
•762 831
•761 856
•760 879
■490
•759 900
•758 919
•757 936
•756 951
■755 964
•754 975
■753 984
•752 991
•751 996
•750 999
Probable Error of a Coefficient of Correlation
21
TABLE VIII. Values of l-r> for r=001 to '999.
Values of 1— r 3 .
■ooo
■500
■510
■520
■530
■540
■550
■560
•570
■5S0
■590
■600
•610
■620
■630
■640
■650
■660
■670
•680
■690
■700
■710
■720
•730
■740
■750
■760
■770
■780
■790
•800
■810
■820
■830
■840
■850
■860
■870
■880
■890
■900
•910
■920
■930
■940
■950
■960
■970
■980
■990
•750 000
■739 900
•729 600
•719 100
•708 400
•697 500
•686 400
•675 100
•663 600
•651 900
■640 000
•627 900
•615 600
•603 100
■590 400
•577 500
•564 400
•551 100
•537 600
•523 900
•510 000
•495 900
•481 600
•467 100
•452 400
•437 500
■422 400
•407 100
■391 600
•375 900
•360 000
•343 900
•327 600
•311 100
•294 400
•277 500
•260 400
•243 100
•225 600
■207 900
•190 000
•171 900
•153 600
•135 100
•116 400
•097 500
•078 400
•059 100
•039 600
019 900
■001
748 999
738 879
728 559
718 039
707 319
696 399
685 279
673 959
662 439
650 719
638 799
626 679
614 359
601 839
589 119
576 199
563 079
549 759
536 239
522 519
508 599
194 479
480 159
465 639
450 919
435 999
420 879
405 559
390 039
374 319
•358 399
■342 279
•325 959
•309 439
292 719
'275 799
•258 679
•241 359
■223 839
•206 119
188 199
170 079
151 759
133 239
114 519
095 599
076 479
057 159
037 039
017 919
•003
•747 996
•737 856
•727 516
•716 976
•706 236
•695 296
•684 156
•672 816
•661 276
•649 536
■637 596
•625 456
•613 116
•600 576
•587 836
•574 896
•561 756
•548 416
•534 876
•521 136
•507 196
•493 056
■478 716
•464 176
•449 436
•434 496
•419 356
•404 016
■388 476
•372 736
•356 796
•340 656
•324 316
•307 776
•291 036
•274 096
•256 956
•239 616
•222 076
•204 336
•186 396
•168 256
•149 916
•131 376
•112 636
•093 696
•074 556
•055 216
•035 676
•015 936
■003
746 991
736 831
726 471
715 911
705 151
694 191
683 031
671 671
660 111
648 351
636 391
624 231
611 871
599 311
586 551
573 591
560 431
547 071
533 511
519 751
505 791
491 631
477 271
462 711
447 951
432 991
417 831
402 471
386 911
371 151
355 191
339 031
322 671
306 111
289 351
272 391
255 231
237 871
220 311
202 551
184 591
166 431
148 071
129 511
110 751
091 791
072 631
053 271
033 711
013 951
•004
■005
•006
•007
•745 984
•744 975
•743 964
■742 951
•735 804
•734 775
•733 744
•732 711
•725 424
•724 375
•723 324
•722 271
■714 844
•713 775
•712 704
•711 631
•704 064
•702 975
•701 884
•700 791
•693 084
•691 975
•690 864
•689 751
•681 904
•680 775
■679 644
•678 511
•670 524
•669 375
■668 224
•667 071
•658 944
•657 775
•656 604
•655 431
•647 164
•645 975
•644 784
•643 591
•635 184
•633 975
•632 764
•631 551
•623 004
•621-775
•620 544
■619 311
•610 624
•609 375
•608 124
•606 871
•598 044
•596 775
•595 504
•594 231
•585 264
•583 975
•582 684
•581 391
•572 284
■570 975
•569 664
•568 351
■559 104
•557 775
•556 444
•555 111
•545 724
•544 375
•543 024
•541 671
•532 144
•530 775
•529 404
•528 031
•518 364
•516 975
•515 584
•514 191
•504 384
•502 975
•501 564
■500 151
•490 204
•488 775
•487 344
•485 911
■475 824
•474 375
•472 924
■471 471
•461 244
•459 775
•458 304
■406 831
•446 464
•444 975
■443 484
•441 991
■431 484
•429 975
•428 464
•426 951
•416 304
•414 775
■413 244
•411 711
•400 924
•399 375
•397 824
•396 271
•385 344
•383 775
•382 204
■380 631
■369 564
■367 975
•366 384
•364 791
•353 584
•351 975
•350 364
•348 751
■337 404
•335 775
•334 144
•332 511
•321 024
•319 375
•317 724
■316 071
•304 444
•302 775
•301 104
•299 431
•287 664
•285 975
•284 284
•282 591
•270 684
•268 975
•267 264
•265 551
•253 504
•251 775
•250 044
■248 311
•236 124
•234 375
•232 624
•230 871
•218 544
•216 775
•215 004
•213 231
•200 764
•198 975
•197 184
•195 391
•182 784
■180 975
•179 164
•177 351
•164 604
•162 775
•160 944
•159 111
•146 224
•144 375
■142 524
•140 671
•127 644
•125 775
•123 904
•122 031
•108 864
■106 975
•105 084
•103 191
•089 884
•087 975
•086 064
•084 151
•070 704
•068 775
•066 844
•064 911
•051 324
•049 375
•047 424
•045 471
•031 744
•029 775
•027 804
•025 831
•Oil 964
009 975
•007 984
■005 991
■008
•741 936
•731 676
•721 216
■710 556
•699 696
•688 636
•677 376
•665 916
•654 256
•642 396
■630 336
•618 076
•605 616
•592 956
•580 096
•567 036
•553 776
•540 316
•526 656
■512 796
•498 736
•484 476
•470 016
•455 356
•440 496
•425 436
■410 176
•394 716
•379 056
■363 196
•347 136
•330 876
•314 416
•297 756
•280 896
•263 836
•246 576
■229 116
•211 456
•193 596
•175 536
•157 276
•138 816
•120 156
•101 296
082 236
•062 976
•043 516
•023 856
•003 996
•009
•740 919
•730 639
•720 159
•709 479
•698 599
•687 519
•676 239
•664 759
•653 079
•641 199
•629 119
•616 839
■604 359
•591 679
•578 799
■565 719
•552 439
•538 959
■525 279
•511 399
•497 319
•483 039
•468 559
■453 879
•438 999
•423 919
•408 639
•393 159
■377 479
•361 599
•345 519
•329 239
•312 759
•296 079
•279 199
•262 119
•244 839
•227 359
•209 679
191 799
•173 719
•155 439
•136 959
•118 279
•099 399
•080 319
•061 039
•041 559
■021 879
•001 999
22 Tables for Statisticians and Biometricians
TABLE IX. Values of the Incomplete Normal Moment Function /j, n (x).
A. Odd Moments m, (x) = /t„ (#)/{(» - 1) (n - 3) (« - 5) ... 2{.
X
mi(x)
»"3 (*)
m, (x)
J«7 (x)
"'9 (x)
o-o
•0000000
•0000000
•0000000
•ooooooo
■ooooooo
0-1
•0019897
•0000050
•ooooooo
•ooooooo
•ooooooo
0-2
•0078996
•0000787
•0000005
•ooooooo
■ooooooo
OS
•0175545
•0003920
•0000059
•0000001
•ooooooo
o-4
•0306721
■0012105
•0000321
•0000006
•ooooooo
0-5
•0468770
■0028688
■0001183
■0000037
•0000001
0-6
•0657177
•0057372
•0003390
•0000151
•0000005
0-7
•0866883
■0101861
•0008140
•0000493
•0000024
0-8
•1092507
■0166494
•0017172
•0001350
•0000086
0-9
•1328570
•0^.")0925
•0032702
•0003242
•0000259
1-0
•1569716
•0359862
•0057399
•0006988
•0000687
VI
•1810901
•0492895
•0094199
•0013795
■0001634
V2
•2047562
•0649423
•0146092
•0025293
•0003549
V3
•2275737
' -0827672
•0215865
•0043539
•0007135
1'4
•2492148
•1024819
•0305828
•0070957
•0013414
1-5
•2694247
•1237174
•0417570
•0110219
•0023776
1-6
•2880214
•1460428
•0551764
•0164068
•0040005
V7
•3048932
•1689923
•0708039
•0235098
•0064248
1-8
•3199921
•1920929
•0884945
•0325513
■0098944
V9
•3333265
•2148899
•1080009
•0436894
■0146688
2-0
•3449513
•23690!) [
•1289874
•0569995
•0210055
2-1
•3549587
•2579749
•1510502
•0724606
•0291380
2-2
•3634677
■2776192
•1737425
•0899486
•0392533
2-8
•3706152
•2956902
•1966019
•1092390
•0514703
2-4
•3765478
•3120515
•2191769
•1300173
•0658224
2-5
•3814140
•3266380
•2410506
•1518971
•0822459
2-6
•3853593
•3394489
•2618602
•1744437
•1005767
2-7
•3885213
•3505370
■2813106
•1972006
•1205553
2-8
•3910268
•3599983
•2991823
•2197160
•1418391
2-9
•3929897
•3679593
•3153329
•2415682
•1640231
8-0
•3945104
•3745671
•3296946
•2623860
•1866637
3-1
•3956755
•3799784
•3422662
•2818638
•2093055
■ S-2
•3965582
•3843517
•3531029
•2997718
•2315079
8-3
•3972197
•3878403
■3623049
•3159582
•2528687
3-4
•3977101
•3905878
•3700046
•3303476
•2730432
8-5
•3980696
•3927244
•3763548
•3429335
•2917571
s-n
•3983304
•3943653
•3815183
•3537687
•3088145
3-7
•3985175
•3956099
•3856585
•3629529
•3240979
8-8
•3986503
•3965425
•3889331
•3706199
•3375646
8-9
•3987436
•3972329
•3914881
•3769253
•3492376
40
•3988085
•3977378
•3934552
•3820351
•3591947
4-1
•3988530
•3981028
•3949499
•3861165
•3675554
4-2
•3988833
•3983635
•3960708
•3893304
•3744677
4-8
•3989037
•3985475
•3969007
•3918258
•3800964
4-4
•3989173
■3986759
•3975073
•3937367
•3846117
4-rj
•3989263
•3987645
•3979452
•3951801
•3881809
4-6
•3989321
•3988248
•3982573
•3962557
•3909614
4-7
•3989359
■3988656
•3984770
•3970466
•3930967
4-8
•3989383
•3988927
•3986298
•3976205
•3947135
4-9
•3989398
•3989106
•3987348
•3980315
•3959207
5-0
•3989408
•3989222
•3988061
•3983221
•3968097
00
•3989423
•3989423
•3989423
•3989423
•3989423
Incomplete Normal Moment Functions
TABLE IX. Values of the Incomplete Normal Moment Function.
23
B. Even Moments m n (x) = /x n (x)/{(n — !)(«• — 3) (n — 5) ...1
X
n*2 (x)
m 4 {x)
m (x)
m 8 (x)
ot 10 (.t)
o-o
■ooooooo
•ooooooo
ooooooo
ooooooo
OOOOOOO
o-i
•0001325
•0000002
ooooooo
00(30000
OOOOOOO
OS
•0010512
•0000084
ooooooo
ooooooo
OOOOOOO
OS
•0034951
•0000626
0000008
ooooooo
ooooooo
0-4
•0081136
■0002572
0000058
0000001
ooooooo
OS
•0154298
•0007604
0000270
0000008
0000001
0-6
•0258121
•0018200
0000925
0000037
0000001
0-7
•0394585
•0037575
0002588
0000139
0000006
OS
•0563914
•0069507
0006223
0000437
0000025
0-9
•0764632
•0118045
0013297
0001177
0000086
1-0
•0993740
•0187171
0025857
0002812
0000251
1-1
•1246965
•0280428
0046525
0006094
0000658
12
•1519070
•0400559
0078427
0012160
0001558
1-3
•1804203
•0549214
0125028
0022017
0003386
t'k
•2096248
•0726741
0189894
0039577
0006842
1-5
•2389164
•0932091
0276408
0065653
0012964
1-6
•2677274
•1162835
0387442
0103869
0023209
V7
•2955511
•1415300
0525059
0157516
0039494
1-8
•3219594
•1684803
0090258
0229926
0064207
VO
•3466134
•1905937
0882796
0324204
0100147
2-0
•3692680
•2252921
1101113
0442938
0150415
2-1
•3897700
•2539927
1342371
0587910
0218224
2-2
•4080525
•2821413
1602593
0759806
0306667
2-3
•4241237
•3092387
1876903
0958345
0418437
2-4
•4380556
■3348616
2159821
1181613
0555560
2-5
•4499695
•3586763
2445598
1426700
0719132
2-6
•4600231
•3804450
2728554
1689546
0909136
2-7
•4683905
■4000247
3003387
1965228
1124320
2-8
•4752816
•4173616
3265431
2248263
1362197
2-9
•4808719
•4324798
3510842
2532933
1619132
SO
•4853546
•4454079
3736720
2813629
1890538
3-1
•4889053
•4564647
3941138
3085150
2171145
8-2
•491683S
•4656432
4123121
3342962
2455315
3-3
•4938321
•4731975
4282552
3583379
2737379
s-4
•4954736
•4793298
4420056
3803672
3011962
3-5
•4967130
•4842409
4536843
4002102
3274261
8-6
•4976381
•4881218
4634555
4177877
3520261
S-7
•4983205
•4911484
4715111
4331061
3746880
S-8
•4988183
•4934784
4780568
4462441
3952025
S-9
•4991771
•4952491
4833001
4573300
4134583
fo
■4994330
•4965779
4874418
4665592
4294345
4-1
•4996133
•4975627
4906683
4741120
4431886
4-9
•4997391
•4982835
4931479
4802003
4548407
4-3
•4998258
•4988045
4950279
4850521
4645574
4-4
•4998849
•4991766
4964343
4888500
4725352
4-5
•4999247
•4994392
4974729
4917840
4789861
4-6
•4999512
•4996222
4982298
4940207
4841246
4-~
•4999688
•4997483
4987744
4957010
4881574
4-8
•4999802
•4998342
4991613
4969464
4912765
4-9
•4999876
•4998919
4994326
4978572
4936544
5-0
•4999923
•4999303
4996206
4985144
4954417
00
•5000000
•5000000
5000000
5000000
5000000
24
Tables for Statisticians and Biometrieians
TABLE X. Diagram of Generalised ' Probable Error.'
Table of Generalised ' Probable Errors.'
Number of
Variables
Probable Error
1
o
3
4
0-674,4898
1-177,4062
1-538,1667
1-832,1239
5
6
2-086,0146
2-312,5982
7
S
9
10
2-519,0869
2-710,0022
2-888,3962
3-056,4366
11
3-215,7402
Diagram for Value of Probable Error for
ii Variables.
40
3-6
3-4
3-2
30
2-8
| 2-4
J! 2-2,
2
S
■*
| 1-6
1 1-4
/
1
* in
10
/
/
/
i
•4
■2
-2.
'
'.
1 C
4
1
> !
»
' f
i ~~?
1
1
1 1
2 1
3 1
* IS
Number of Variables
Determination of Normal Curve from Tail
25
TABLE XI. Constants of Normal Curve from Moments of Tail
about Stump.
Values of the Functions -v^, and ^, required to determine the Constants of a
Normal Frequency Distribution from the Moments of its Truncated Tail.
h'
ft
fi
^3
h'
tl
H
/r 2 , then o-=dxi|r 2 gives the standard
deviation of the uncurtailed normal curve.
(iii) h = h'x(T gives the origin of the uncurtailed normal curve.
(iv) Knowing h', Table II gives | (1 + a) and therefore the ratio £(1 — a)
of tail to total area of curve JV, or JV = nj% (1 - a). For many purposes it is
sufficient to use N — nx yjr,.
26
Tables for Statisticians and Bio metricians
TABLE XII. Test for Goodness of Fit. Values of P.
X 2
n' = 3
n'=4
n'=5
n' = 6
n' = 7
n' = 8
n' = 9
n'=10
ri = 11
1
•606531
•801253
•909796
•962566
•985612
•994829
•998249
•999438
■999828
2
•367870
•572407
•735759
•849146
•919699
•959840
•981012
•991468
•996340
S
•223130
•391625
•557825
•699986
•808847
•885002
•934357
•964295
•981424
4
•135335
•261464
•406006
•549416
•676676
•779778
•857123
•911413
947347
5
•082085
•171797
•287298
•415880
•543813
•659963
•757576
•834308
•891178
6
■049787
•111610
•199148
•306219
•423190
•539750
■647232
•739919
•815263
7
•030197
■071897
•135888
•220640
•320847
•428880
■536632
•637119
•725444
8
•018316
•046012
•091578
•156236
•238103
•332594
•433470
•534146
■628837
•011109
•029291
■061099
•109064
•173578
•252656
•342296
•437274
•532104
10
•006738
•018566
•040428
•075235
•124652
•188573
•265026
•350485
•440493
11
•004087
•011726
•026564
•051380
•088376
•138619
•201699
•275709
•357518
12
•002479
•007383
•017351
•034787
•061969
•100558
•151204
•213308
•285057
13
•001503
•004637
•011276
•023379
•043036
•072109
•111850
•162607
■223672
U
•000912
■002905
•007295
•015609
•029636
051181
■081765
•122325
•172992
IS
•000553
•001817
•004701
•010363
•020256
•036000
•059145
090937
■132061
16
•000335
•001134
•003019
•006844
•013754
•025116
042380
066881
•099632
17
•000203
•000707
•001933
•004500
•009283
•017396
•030109
048716
•074364
18
•000123
•000440
•001234
•002947
•006232
•011970
•021226
035174
054964
19
•000075
•000273
•000786
•001922
■004164
•008187
•014860
025193
040263
20
•000045
•000170
•000499
•001250
•002769
•005570
•010336
•017913
029253
21
•000028
•000105
•000317
•000810
•001835
003770
•007147
•012650
021093
22
•000017
•000065
•000200
•000524
•001211
•002541
•004916
008880
015105
23
•000010
•000040
•000127
•000338
•000796
•001705
•003364
•006197
•010747
24
•000006
•000025
•000080
•000217
•000522
•001139
•002292
004301
•007600
25
■000004
■000016
•000050
•000139
•000341
000759
•001554
002971
005345
26
•000002
■000010
•000032
•000090
•000223
•000504
•001050
002043
003740
27
•000001
•000006
•000020
•000057
•000145
•000333
•000707
•001399
002604
28
•000001
•000004
•000012
■000037
•000094
•000220
•000474
•000954
001805
29
•000001
•000002
•000008
•000023
•000061
•000145
000317
000648
001246
SO
•oooooo
•000001
•000005
■000015
•000039
•000095
■000211
000439
000857
40
oooooo
•oooooo
•oooooo
•oooooo
•000001
•000001
■000003
■000008
•000017
50
•oooooo
•oooooo
•oooooo
•oooooo
•oooooo
•oooooo
OOOOOO
■oooooo
•oooooo
60
•oooooo
•oooooo
•oooooo
•oooooo
•oooooo
•oooooo
•OOOOOO
•oooooo
•oooooo
70
•oooooo
•oooooo
•oooooo
•oooooo
•oooooo
•oooooo
•OOOOOO
OOOOOO
•oooooo
Tables for Testing Goodness of Fit
27
TABLE HTl— {continued).
x"
n' = 12
n'=13
h' = 14
)i'=15
n'=16
«'=17
n' = 18
n' = 19
n' = 20
1
•999950
•999986
•999997
■999999
I-
1"
1-
1'
1-
2
•998496
•999406
•999774
•999917
•999970
•999990
•999997
•999999
1-
S
•990726
•995544
•997934
■999074
•999598
■999830
•999931
•999972
•999989
4
•969917
•983436
•991191
•995466
•997737
•998903
•999483
•999763
•999894
5
•931167
•957979
•975193
•985813
•992127
•995754
•997771
•998860
•999431
6
•873365
■916082
•946153
•966491
•979749
•988095
•993187
•996197
•997929
7
•799073
•857613
•902151
•934711
•957650
•973260
•983549
•990125
•994213
8
•713304
•785131
•843601
•889327
•923783
•948867
■966547
•978637
•986671
9
•621892
•702931
•772943
•831051
•877517
•913414
•940261
•959743
•973479
10
•530387
•615960
•693934
•762183
•819739
•866628
•903610
•931906
•952946
11
•443263
■528919
•610817
•686036
•752594
■809485
•856564
•894357
•923839
IS
•362642
•445680
•527643
•606303
•679028
•743980
•800136
•847237
•885624
13
•293326
•369041
•447812
•526524
•602298
•672758
•736186
•791573
•838571
U
•232993
•300708
•373844
•449711
•525529
•598714
■607102
•729091
•783691
IS
•182498
•241436
•307354
•378154
•451418
•524638
•595482
•661967
•722598
16
•141130
•191 230
•249129
•313374
•382051
•452961
•523834
•592547
•657277
17
•107876
•149597
•199304
•256178
•318864
•385597
•454366
•523105
•589868
18
•081581
•115691
•157520
■206781
•262666
•323897
•388841
•455653
•522438
19
•061094
•088529
•123104
164949
•213734
•268663
•328532
•391823
•456836
SO
•045341
•067086
■095210
•130141
•171932
•220220
•274229
•332819
•394578
SI
•033371
•050380
•072929
•101632
■136830
•178510
•226291
•279413
•336801
ss
•024374
•037520
•055362
•078614
•107804
•143191
•184719
•231985
•284256
S3
■017676
•027726
•041677
060270
O84140
•113735
•149251
•190590
■237342
*k
•012733
•020341
•031130
■045822
065093
•089504
•119435
•155028
•196152
25
•009117
•014822
•023084
•034566
•049943
■069824
•094710
•124915
•160542
26
O06490
■010734
•017001
•025887
038023
■054028
074461
■099758
■130189
27
•004595
•007727
•012441
•019254
•028736
041483
•058068
•078995
•104653
28
•003238
005532
•009050
•014228
•021569
•031620
•044938
■062055
083428
29
•002270
■003940
006546
•010450
•016085
023936
•034526
•048379
•065985
SO
•001585
■002792
004710
•007632
011921
•018002
■026345
037446
•051798
40
•000036
•000072
•000138
■000255
000453
•000778
•001294
•002087
003272
50
•000001
•000001
■000003
•000006
•000012
•000023
■000042
•000075
000131
60
■000000
•oooooo
■OOOOOO
•oooooo
■oooooo
•000001
•000001
•000002
•000004
70
•oooooo
•oooooo
•OOOOOO
•oooooo
■oooooo
■oooooo
■OOOOOO
•oooooo
•OOOOOO
4—2
28
Tables for Statisticians and Biometricians
TABLE XII. Test for Goodness of Fit. Values of P.
x a
n' = 21
n' = 22
n' = 23
n' = 24
n'=25
n' = 26
n' = 27
n' = 28
n' = 29
n' = 30
1
1-
1-
1-
1-
1-
1-
1-
1-
1-
2
1-
1-
1-
1-
1-
1-
1-
1-
V
!•
3
■999996
•999998
•999999
1-
1-
1-
1-
1-
I-
It
•999954
•999980
■999992
•999997
■999999
1-
1-
1-
1-
1-
5
•999722
•999808
•999939
•999972
•999987
•999994
•999998
•999999
1-
6
•998898
■999427
•999708
•999855
•999929
•999966
•999984
•999993
•999997
•999999
7
•996085
•998142
•998980
•999452
•999711
•999851
•999924
•999962
•999981
•999991
8
•991868
•995143
•997160
•998371
•999085
■999494
■999726
•999853
•999924
•999960
9
•982907
•989214
•993331
■995957
•997595
■998596
•999194
•999546
•999748
•999863
10
•968171
■978912
•986304
■991277
•994547
■996653
•997981
•998803
•999302
■999599
11
•946223
•962787
•974749
•983189
•989012
•992946
•995549
•997239
•998315
•998988
12
•91C076
•939617
■957379
•970470
•979908
•986567
•991173
•994294
•996372
•997728
13
•877384
•908624
•933161
•951990
•966121
•976501
•983974
•989247
■992900
•995384
U
•830496
•869599
•901479
•926871
•940050
•961732
•973000
•981254
•987189
•991377
15
•776408
■822952
862238
•894634
•920759
•941383
•957334
•969432
•978436
•985015
16
•716624
•769050
•815886
•855268
•888076
•914828
•936203
•952947
•965819
•975536
17
•652974
•711106
•763362
•809251
•848662
•881793
■909083
•931122
•948589
•962181
18
•587408
■649004
•705988
•757489
•803008
•842390
•875773
•903519
■926149
•944272
19
•521826
•585140
•645328
•701224
•751990
■797120
•836430
•870001
•898136
•921288
20
■457930
•521261
•583040
•641912
•696776
•746825
■791556
•830756
•864464
•892927
21
•397132
•458944
520738
•581087
•638725
•692009
■741904
•786288
•825349
•859149
22
•340511
•399510
•459889
•520252
■579267
•635744
•688697
•737377
•781291
•820189
23
•288795
•343979
•401730
•460771
•519798
•577564
•632947
•685013
•733041
■776543
H
•242392
•293058
•347229
•403808
•401597
•519373
•575965
■630316
•681535
•728932
25
•201431
•247164
•297075
■350285
405700
•462373
•518975
•574462
■627835
■678248
26
•165812
•206449
•251682
•300866
•353105
•407598
•463105
•518600
•573045
■625491
27
•135264
•170853
•211226
•255967
•304453
•355884
•409333
•463794
•518247
•571705
28
•109399
•140151
•175681
•215781
•200040
•307853
•358458
•410973
•464447
•517913
29
•087759
•114002
•144861
•180310
•220131
•263916
•311082
•360899
•412528
•465066
SO
•069854
•091988
•118464
•149402
•184752
•224289
•267611
•314154
•363218
•414004
40
•004995
•007437
■010812
•015369
•021387
•029164
•039012
•051237
•066128
•083937
50
•000221
•000365
•000586
•000921
•001416
•002131
•003144
•004551
•006467
•009032
60
•000007
•000013
•000022
■000038
•000064
•000104
•000168
•000264
•000407
•000618
70
•000000
•000000
•000001
•000001
•000002
•000004
•000007
•000011
•000019
•000030
Tables for Testing Goodness of Fit
29
TABLE XITI. Auxiliary Table A.
X 2
ioe {x \fi e ~ h "}
log e ix*
X*
log {x N /L"**j
loge-***
1
1-68479282
T-78285276
51
TT-68121586
T2-92549071
2
1 -61816058
1-56570552
52
11-46828520
12-70834347
s
1-48905897
1-34855828
5S
1 1-25527422
12-49119623
4
1-33438109
1-13141104
64
11-04218593
1227404899
r,
1-16568886
2-91426380
55
1282902315
1205690175
6
2-98813224
2-69711655
56
1261578858
13-83975450
7
2-80445839
2-47996931
57
12-40248475
13-62260726
S
2-61630713
2-26282207
58
12-18911408
13-40546002
9
2-42473615
2-04567483
59
13-97567885
13-18831278
10
2-23046765
3-82852759
60
13-76218123
14-97116554
11
203401675
3-61138035
61
13-54862328
14-75401830
12
3-83576379
3-39423311
62
13-33500696
14-53687106
IS
3-63599760
3-17708587
63
1312133415
1431972382
U
3-43494271
4-95993863
64
14-90760662
14-10257658
15
3-23277708
4-74279139
65
14-69382607
15-88542934
1G
3-02964420
452564414
66
14-48099412
15-66828209
n
4-82566143
4-30849690
67
14-26611232
15-45113485
18
4-62092598
4-09134966
68
1405218213
15-23398761
19
4-41551928
5-87420242
69
15-83820498
15-01684037
20
4-20951024
5-65705518
70
15-62418221
16-79969313
21
4-00295765
5-43990794
71
1541011512
16-58254589
22
5-79591210
5-22276070
72
15-19600496
1636539865
23
5-58841744
5-00561346
73
16-98185290
16-14825141
n
5-38051190
6-78846622
74
16-76766009
17-93110417
25
5-17222904
6-57131898
75
16-55342762
17-71395693
26
6-96359847
635417173
76
1633915654
17-49680968
27
6-75464644
6-13702449
77
16-12484787
17-27966244
28
6-54539633
7-91987725
78
17-91050256
17-06251520
29
6-33586907
7-70273001
79
17-69612157
18-84536796
30
6-12608346
7-48558277
80
17-48170578
13-62822072
31
7-91605644
7-26843553
81
17-26725605
18-41107348
S2
7-70580334
7-05128829
82
17-05277323
18-19392624
S3
7-49533808
8-83414105
83
1883825810
19-97677900
S4
7-28467333
8-61699381
84
18-62371146
19-75963176
S5
7-07382065
8-39984657
85
18-40913404
19-54248452
86
8-86279064
8-18269932
86
18-19452656
19-32533727
37
8-65159301
996555208
87
19-97988972
19-10819003
S8
844023670
9-74840484
88
19-76522419
20-89104279
39
8-22872997
9-53125760
89
1955053062
20-67389555
40
8-01708042
931411036
90
19-33580963
20-45674831
U
9-80529511
909696312
91
19-12106183
20-23960107
42
9-59338058
10-87981588
92
20-90628780
2002245383
43
9-38134293
10-66266864
93
20-69148812
21-80530659
u
916918780
10-44552140
94
20-47666333
21-58815935
45
10-95692047
10-22837416
95
20-26181397
21-37101211
46
10-74454589
10-01122691
96
20-04694054
21-15386486
47
10-53206866
11-79407967
97
21-83204355
22-93671762
48
10-31949311
11-57693243
98
21-61712348
22-71957038
49
10-10682329
11-35978519
99
21-40218080
22-50242314
50
11-89406301
11-14263795
100
21-18721596
22-28527590
30
Tables for Statisticians and Biometricians
TABLES XIV— XVI. Auxiliary Ta
TABLE XIV (B).
Table of colog [n] :— [n] = n (n - 2) (n - 4")
odd nos.
colog [n]
n
even nos.
colog [n]
1
•00000000
2
T -69897000
s
1-52287875
4
1-09691001
5
282390874
6
2-31875876
7
3-97881070
8
3-41566878
9
302456819
10
4-41566878
11
5 98317551
12
5-33648753
13
6-86923215
14
619035949
15
7-69314089
16
898623951
17
8-46269197
18
9-73096701
19
9-18393837
20
10-42993701
SI
11-86171908
22
11-08751433
23
12-49999124
24
13-70730309
25
13-10205123
26
14-29232974
27
15-67068747
28
1684517171
29
16-20828947
80
17-36805045
SI
18-71692778
32
1986290048
33
19-19841384
84
20-33142156
35
21-65434579
36
22-77511906
37
22-08614407
38
23-19533546
39
24-49507946
40
25-59327547
41
26-88229561
4^
27-97002618
43
27-24882715
44
28-32657350
45
29-59561464
46
3066381567
47
31-92351678
48
32-98257443
49
3223332070
50
3328360443
51
34-52575052
52
35-56760109
53
3680147465
54
37-83520733
55
3706111196
56
3808701930
57
39-30523711
58
4032359131
59
4153438510
60
42-54544006
61
4374905526
62
44-75304837
63
45-94971471
64
4694686839
65
4613680135
66
47-12732446
67
48-31072655
68
4929481554
69
50-47187746
70
51-44971750
71
52-62061911
72
53-59238501
73
54-75729625
74
55-72315329
75
56-88223499
76
57-84233970
77
58-99574426
78
59-95024509
79
59-09811717
80
6004715511
81
61-18963215
82
62-13334125
83
63-27055406
84
64-20906197
85
65-34113514
86
88-27466368
87
67-40161588
88
68-33008084
89
69-45222588
90
70-37583833
91
7l -49318448
92
72-41205051
93
73-52470154
94
74-43892265
95
75-54697793
96
76-45665142
97
77-56020620
98
78-46542534
99
79-56457100
100
80-46542534
B, C and D.
TABLE XV (C).
/2 f 00
X 2
W- j e-ix-dx
v * Jx
1
•3173106
2
•1572992
3
■0832646
4
•0455003
5
•0253474
6
■0143060
7
•0081506
8
•0046776
9
•0026998
10
•0015654
11
•0009112
12
•0005321
13
•0003115
14
•0001828
15
•0001076
16
•0000634
17
•0000374
18
•0000221
19
•0000132
20
•0000078
21
•0000046
22
•0000027
28
•0000016
24
•0000011
25
•0000007
26
•0000004
27
•0000003
28
•0000002
29
•0000001
so
•0000000
TABLE XVI (D).
Function
Log. Function
e-i
1-7828527590
1-9019400615
Probability of Association on Correlation-Scale
31
TABLE XVII.
Values of (— log P) corresponding to given values of % 3 in a fourfold table.
(Extension of Table XII for n = 4.)
X 5
-logP
X 2
-logP
x'
-logP
X a
-logP
X a
-logP
X 1
-logP
/
0096
26
5-021
50
10097
1100
237-439
2600
562-973
13500
2929521
fl
0-242
27
5-230
60
12-231
1150
248-287
2700
584-680
14000
3038-086
3
0407
28
5-440
70
14-370
1200
259-135
2800
606-387
14500
3146-652
4
0583
29
5-650
80
16513
1250
269-983
2900
628 094
15000
3255-219
5
0765
SO
5-860
90
18-659
1300
280-832
8000
649-801
15500
3363785
6
0952
SI
6-071
100
20-809
1350
291-681
S500
758-341
16000
3472-352
7
1143
32
6-281
150
31579
1400
302-531
4000
866-886 16500
3580-919
X
1-337
88
6-492
200
42-375
1450
313381
4500
975-434 \ 17000
3689-486
9
1-533
34
6-703
250
53-184
1500
324-231
5000
1083-995 1 17500
3798053
10
1-731
35
6914
800
64O02
1550
335 081
5500
1192-538
18000
3906-621
11
1-931
86
7-126
850
74-826
1600
345-931
6000
1301-092
18500
4015-188
12
2-132
37
7337
400
85-655
1650
356-782
6500
1409-649
19000
4123-756
IS
2-334
,18
7-549
450
96-487
1700
367-633
7000
1518-206
19500
4232-324
tt
2-537
39
7-761
500
107-321
1750
378-484
7500
1626-765
20000
4340-892
15
2-741
40
7-972
550
118-158
1800
389335
8000
1735-324
20500
4449-461
16
2-945
41
8-184
600
128-997
1850
400-187
8500
1843-885
21000
4558-029
n
3-151
>&
8-397
650
139-837
1900
411038
9000
1952-446
21500
4666-597
18
3-357
4-1
8-609
700
150678
1950
421-890
9500
2061-008
22000
4775-166
19
3-564
4h
8-821
750
161-520
2000
432-742
10000
2169-570
22500
4883735
no
3-770
45
9034
800
172-364
2050
443-594
10500
2278-133
23000
4992-304
9,1
3-978
46
9-246
850
183-208
2100
454-446
11000
2386-697
23500
5100-873
22
4-186
If
9-459
900
194 053
2200
476151
11500
2495-261
24000
5209-442
2.1
4-394
48
9672
950
204-899
2800
497-856
12000
2603-825
24500
5318011
21,
4-602
49
9-885
1000
215-745
2400
519561
12500
2712-390
25000
5426-580
25
4811
50
10097
1050
226-592
2500
541267
13000
2820955
26
5-021
1100
237-439
$600
562973
18500
2929-521
TABLE XVIII.
Values of (— log P), entering with r and „
0-5
626428
157607
70-669
40177
26025
18-312
13-642
10-597
06
970-879
243-753
108-980
61-747
39-845
27-922
20-713
16-020
0-7
1463-946
367033
163-781
92-579
59-584
41-634
30-792
23-740
08
2220-267
556100
247-801
139-832
89-819
62-625
46-209
35-539
0-9
3607-924
902-949
401-907
226-479
145-241
101085
74-442
57-134
095
5056547
1265 013
562-757
316904
203069
141-207
103-886
79-671
32
Tables for Statisticians and Biometricians
TABLE XIX.
Values of %' corresponding to the values of (— log P) in Table X VIII.
Values of „oy.
■01
■02
■03
■04
■05
■06
■07
■08
0-05
31-84
10-88
6-36
451
3-52
2-91
2-48
219
0-075
64-66
1995
10-89
7-38
5-58
4-51
3-78
3-28
*.
o-i
109-82
31-93
1664
10-90
8 03
6-35
5-26
4-51
<**
0-15
238-45
65-13
3208
20-07
14-24
10-93
8-82
7-39
0-2
422-29
111-35
53-16
32-29
22 35
16-75
13-25
1097
a)
0-8
95668
246-62
114-05
67-14
4511
32-93
25-45
20-64
£
o-4
1758-21
447-81
204-07
11818
78-13
5614
42-73
33-92
0-5
2892-33
731-95
33080
189-82
124-22
88-38
66-60
52-34
0-6
447902
1129-10
507-65
289-58
188-28
13302
99-55
77-70
0-7
6750-09
1697-24
760-43
431-96
279-58
19657
146-35
113-61
08
10233-49
2568-34
1147-76
649-98
41922
29364
217-74
lfi.S-34
0-9
16624-37
4166-12
1857-93
1049-48
674-92
471-22
348-23
26826
0-95
23295-86
583382
2599-00
1466-24
941-56
656-32
484-15
372-37
4
>
TABLE XX.
Vahies of log %* corresponding to values of r and „k
3C , 8|||li|lil§^^4v
5 Rliliiiiii^^^^s^^
14 Sll^lilili^^^^^^b^
1 it tl ll|ili iilllillpiife ^^^^4-
'' ^llll|l|ll^ft^^P^^^^^^^5t-L
^Illllllll^^^^S^^^^^^^^S^S^?^:--.
° wllll|llll^P^^^fei^^^^^§^^^^S^p; ;: gr--~.
11 ^l^l^lllll^p^^pR^^fe^^^l^p^^s^^^^jS?^-^^
^l^lmill^ll^l^ft^^^^^l^iS^l^^^^p^^sSsS^i^^----.^
7 ^^^^ll^lll^^^^l^^^^^^^^^§§^^^^^^^§§§^-35S=S^^=;~:r~--^L
6 ^^^^^^^^^^^^^^^^^^^P^^^^fc^^^K^^fi^^-S**-^^-^^*^^^^^^^
^^^^^$^^^l^^ll|l||^^^lll§illllllSSllll§S*--li3ll = §l3 = S5 = 5|55 = iS
o 3 ^^^^^^^^^^^Illl^lll^l^llllllSlllllllllllllllll^gslalsissSlS
oo ^^^S^^^x^^^^^^^ll^llllllllllisJ^lllllli^llllsllllllllsl'lils^
1 \\\^^^$\^^>^p|^$$5$$5^§llllll^l|g^|§l||||§§||lsgslss|l§sg£|ls=l5
^^^^^VX\\^;n^$5$^5$3$333$3^^
\\\\^s\^^^^^^55$^^$55i|:3~ S5355§§*=|| l^5|^Sg| = §|l§|l5|l si lls|l|ll
\\V\\\ s \^^v^:^^^^$^:?::5£ 5 5=^533333 3355££3-5i= 5 UsS 3 5S3g £5555 5|S££
7 \ \\^ V v^ N \ x ^^^^^^^^5^5$ --35 5 = = = 333333 = 333^3 s£^
6 ^ \ \V^ N 0^\^^^3^3^5^i5^;;-:;- = === = = = =3?3=.== = 3-333=3
\ \\X s On n n n ^v v ^v^^^>s55 = ::~H 5 £ = 5=5 = = | = 55 = = ^
\ N Os x ^C n ^ v n^T5>>3s^;: 3;>-3 ^-^^i^S^ ========== =============3=3====
\ V ^^^^^T^^-;^^^-:;-^^-^^
1 I ^ s v ^^^^^^^^C;^53-33-33-i;;-=£-="£--r^
v v ^^^^^^ ^^^^^^^^^-5" ^-3^ 33-~33~~^^~:r~-r;~;~~==~~ = = = = = = = = = = =
>v ^ ^^ ^1 ^^^^^^^^~~;^--~^--;~~~;~ = ~;~~-:~~-^~~-=~--== :::= == :::
v -^ ^-^^ c: ^-^^"~-^^^---^"~--->.;~---^^3~-r~;~:;~~~rrr~ = -=z:r ::::: --
08 "*""*» ""*"■■"« ^"-- "**--~."*~---' ~^---- — ----- — --2E--
07 "**"">» """- — — ^ * ~ ™* -■■;----»■!
or ~~~~^-- *"" --I~ ---~~-----~-~"""
■- — _ ------ - — ■
XT J_ XII
&
•95 .
k
• 90 J
•85 I
■80 o
•75 •£.
"70 2
-65-=
•60
■55
•50
■45
•40
■35
•30
-25
-20
10
05
01
02
03
•04 05
Value of „
•39007
•05851
- -15208
- -04991
+ -09728
+ -04488
•21214
■417
•39028
•05784
- -15233
- -04935
+ -09756
+ -04439
•20957
■418
•39049
•05716
- -15258
- -04879
+ -09784
+ -04390
•20701
■419
•39069
•05648
- -15283
- -04823
+ -09811
+ -04341
■20445
•420
•39089
•05580
- -15308
- -04767
+ -09838
+ -04292
•20189
•421
•39109
•05513
- -15332
- -04711
+ -09865
+ -04243
•19934
•422
•39129
•05445
- -15356
- -04654
+ -09891
+ -04194
•19678
■423
•39149
•05377
- -15380
- -04598
+ -09918
+ -04144
•19422
■424
•39168
•05309
- -15403
- -04541
+ -09943
+ -04094
•19167
•425
•39187
•05240
- -15426
- -04484
+ -09969
+ -04044
•18912
•426
•39206
•05172
- -15449
- -04427
+ -09994
+ -03994
•18657
•427
•39224
•05104
- -15471
- -04370
+ -10019
+ 03944
•18402
■428
•39243
•05036
- -15493
- -04313
+ -10043
+ -03894
•18147
•429
■39261
•04967
-•15515
- -04256
+ -10067
+ -03843
•17892
■430
•39279
•04899
- -15537
- -04198
+ -10091
+ -03793
•17637
•431
•39296
•04830
- -15558
- -04141
+ -10115
+ -03742
•17383
■432
•39313
•04761
- -15579
- -04083
+ -10138
+ -03691
•17128
■433
•39330
•04693
- -15599
- -04026
+ -10161
+ -03640
•16874
•434
•39347
•04624
-•15620
- -03968
+ -10183
+ -03589
•16620
■435
•39364
•045. r ,f>
-■15640
- -03910
+ -10205
+ -03537
•16366
■436
•39380
•04486
- -15659
- -03852
+ -10227
+ -03486
•16112
■437
•39396
■04418
- 15679
- -03794
+ -10249
+ -03434
•15858
■438
•39411
•04349
- -15698
- -03735
+ -10270
+ -03382
•15604
•439
•39427
•04280
- -15717
- '03677
+ •10291
+ -03330
•15351
■440
•39442
•04211
- -15735
- -03619
+ •10311
+ -03278
•15097
■441
•39457
•04141
- -15753
- '03560
+ -10331
+ -03226
•14843
•442
•39472
•04072
- -15771
- -03502
+ -10351
+ -03174
•14590
■44s
•39486
•04003
- -15789
- -03443
+ -10371
+ •03121
•14337
■444
•39601
03934
- -15806
- -03384
+ -10390
+ -03069
•14084
■446
•39514
■03864
- -15823
- -03325
+ -10409
+ -03016
•13830
■446
•39528
•03795
- -15840
- -03266
+ -10427
+ -02963
•13577
■447
•39542
•03726
- -15856
- -03207
+ -10446
+ -02910
•13324
■448
•39555
03656
- -15872
- -03148
+ -10463
+ -02858
•13072
■449
•39568
•03587
- -15888
- -03089
+ -10481
+ -02804
12819
■450
•39580
•03517
- -15904
- -03030
+ -10498
+ -02751
•12566
Tables of the Tetrachoric Functions
TABLE XXIX.— {continued).
51
HI -«)
U
Ti
n
1*
H
n
h
■451
•39593
•03447
- -15919
- -02970
+ •10515
+ -02698
•12314
■1,5%
•39605
•03378
- -15934
-•02911
+ -10532
+ -02644
•12061
■45S
•39617
•03308
- -15948
- -02851
+ -10548
+ -02591
•11809
■454
•39629
•03238
- -15962
- -02792
+ -10564
+ 02537
•11556
•455
•39640
•03168
- -15976
- -02732
+ -10579
+ -02484
•11304
■456
•39651
•03099
- -15990
- -02673
+10594
+ -02430
•11052
■457
•39662
■03029
- -16003
- -02613
+ -10609
+ -02376
•10799
■458
•39673
02959
- -16016
- -02553
+ -10624
+ -02322
•10547
■459
•39683
02889
- -16029
- -02493
+ -10638
+ -02268
•10295
■46O
•39694
02819
- -16041
- 02433
+ -10652
+ -02214
•10043
■461
•39703
•02749
- -16053
- 02373
+ -10665
+ -02159
•09791
'462
■39713
02679
- -16065
- -02313
+ -10678
+ -02105
•09540
■46S
•39723
02609
- -16077
- -02253
+ •10691
+ '02051
•09288
■404
•39732
02539
- -16088
- -02193
+ •10704
+ -01996
•09036
465
•39741
•02469
- -16099
- -02132
+ •10716
+ -01941
•08784
■466
•39749
02398
- -16109
- -02072
+ •10727
+ -01887
08533
■467
•39758
02328
- -16120
- -02012
+ •10739
+ -01832
•08281
■468
•39766
•02258
-16130
- -01951
+ -10750
+ -01777
•08030
■469
•39774
■02188
-16139
- -01891
+ -10761
+ 01722
•07778
■470
■39781
02117
-•16149
- -01830
+ •10771
+ -01668
•07527
■471
•39789
•02047
-•16158
- -01770
+ ■10781
+ 01613
•07276
■472
•39796
•01977
- -16166
- -01709
+ •10791
+ -01558
•07024
■473
•39803
•01906
- -16175
- -01648
+ -10801
+ -01502
•06773
•&4
■39809
■01836
- 16183
- -01588
+ -10810
+ 01447
•06522
■475
•39816
•01765
- -16191
- -01527
+ ■10818
+ 01392
•06271
■476
•39822
•01695
- -16198
- -01460
+ -10827
+ -01337
•06020
•^77
•39828
•01625
- -16206
- -01405
+ -10835
+ -01281
•05768
■478
•39834
•01554
- -16212
- 01344
+ -10842
+ -01226
•05517
■479
•39839
•01484
- -16219
- -01284
+ -10850
+01171
•05266
■48O
•39844
•01413
- -16225
- -01223
+ -10857
+ -01115
•05015
■481
•39849
01342
- -16231
- -01162
+ -10864
+ -01060
•04764
■482
•39854
•01272
- -16237
- 01101
+ -10870
+ -01004
04513
■48S
•39858
01201
- -16242
- -01040
+ -10876
+ -00949
•04263
■m
■39862
01131
- -16247
- -00979
+ -10882
+ -00893
•04012
•485
•39866
•01060
- -16252
- -00918
+ -10887
+ -00837
•03761
■486
•39870
•00990
- -16257
- -00857
+ -10892
+ -00782
•03510
■487
•39873
•00919
- -16261
- 00796
+ -10896
+ -00726
•03259
■488
•39876
•00848
- -16265
- -00734
+ 10901
+ -00670
•03008
■489
•39879
•00778
- -16268
- 00673
+ -10905
+ -00614
•02758
■490
■39882
•00707
- -16271
- -00612
+ 10908
+ -00559
•02507
■491
■39884
■00636
- -16274
- -00551
+ -10912
+ -00503
•02256
■492
•39886
■00566
- -16277
- -00490
+ -10914
+ -00447
•02005
■493
•39888
•00495
- -16279
- -00429
+ -10917
+ -00391
•01755
■494
•39890
•00424
- -16281
- -00367
+ 10919
+ -00335
•01504
■495
•39891
00354
- -16283
- -00306
+ -10921
+ -00279
01253
■496
•39892
•00283
- -16284
- -00245
+ -10923
+ -00224
•01003
■497
•39893
•00212
- -16285
- -00184
+ •10924
+ -00168
•00752
■498
•39894
•00141
- -16286
- 00122
+ •10925
+ -00112
•00501
■499
■39894
•00071
- -16287
- -00061
+ -10925
+ -00056
•00251
■500
•39894
•00000
- -16287
•00000
+ -10925
•00000
•00000
7—2
52
Tables for Statisticians and Biometricians
TABLE XXX. Supplementary Tables for determining High
r = -80.
A=
•1
'2
•3
■4
■5
•6
•7
■8
■9
1-0
1-1
1-2
k = 0-0
•3976
•3766
•3538
•3294
•3039
•2778
•2515
•2254
■2001
•1759
•1531
•1320
•1127
o-i
•3766
•3583
•3380
•3162
•2930
•2689
•2445
•2200
•1960
•1728
•1509
•1304
•1116
0-2
•3538
•3380
•3204
•3011
•2804
•2586
■2361
•2134
•1909
•1690
•1481
•1284
•1102
OS
•3294
•3162
•3011
•2843
•2661
■2466
•2263
•2056
•1848
•1643
•1446
•1258
•1083
0-4
■3039
•2930
•2804
•2661
•2503
•2332
•2152
•1965
•1775
•1587
•1402
•1226
•1060
0-5
•2778
•2689
•2586
•2466
•2332
•2186
•2028
•1862
•1692
•1520
•1351
•1187
•1031
0-6
•2515
•2445
•2361
•2263
•2152
•2028
•1893
•1748
•1598
•1444
•1291
•1140
•0995
0-7
•2254
•2200
•2134
•2056
•1965
•1862
•1748
•1625
•1494
•1359
•1222
•1086
•0954
0-8
•2001
•I960
•1909
•1848
■1775
•1692
•1598
•1494
•1383
•1266
•1146
•1025
•0906
09
•1759
•1728
•1690
•1643
•1587
•1520
•1444
•1359
•1266
•1167
•1064
•0958
•0852
1-0
•1531
•1509
•1481
•1446
•1402
•1351
•1291
•1222
•1146
•1064
•0976
•0886
•0794
1-1
•1320
•1304
•1284
•1258
•1226
•1187
•1140
•1086
•1025
•0958
•0886
•0809
•0731
IS
•1127
•1116
•1102
•1083
•1060
•1031
•0995
•0954
•0906
•0852
•0794
•0731
■0665
IS
•0953
•0946
•0936
•0923
•0906
•0885
•0859
•0828
•0791
■0749
•0702
0652
■0597
1-4
•0798
•0793
•0787
•0778
•0766
■0751
•0733
•0710
•0682
■0650
•0614
•0574
•0530
1-5
•0662
•0659
•0655
•0649
•0641
•0631
•0618
•0601
■0581
•0557
■0529
•0498
•0464
V6
•0545
•0543
•0540
•0536
•0531
•0524
•0515
•0503
•0489
•0471
•0451
•0427
•0401
1-7
•0444
■0443
•0441
•0438
•0435
•0430
■0424
■0416
•0406
•0394
•0379
•0362
•0342
1-8
•0358
■0357
•0357
•0355
•0353
•0350
•0346
•0341
•0334
•0325
•0315
•0302
•0287
1-9
•0287
•0286
•0286
•0285
■0283
•0281
•0279
•0275
•0271
•0265
•0258
•0249
•0238
2-0
•0227
•0227
•0227
•0226
•0225
•0224
•0223
•0220
•0217
•0213
•0209
•0202
•0195
2-1
•0178
•0178
•0178
•0178
•0177
•0177
•0176
•0174
•0172
•0170
•0167
•0163
•0158
2-2
•0139
•0139
•0139
•0139
•0138
•0138
•0137
•0137
•0135
•0134
•0132
•0129
0126
2-8
•0107
•0107
•0107
•0107
•0107
•0107
•0106
•0106
•0105
•0104
•0103
•0101
•0099
2-4
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0081
•0081
•0080
•0079
•0078
•0077
2S
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0061
•0061
•0061
•0060
•0059
2-6
■0047
•0047
•0047
•0047
•0047
•0047
•0046
•0046
•0046
•0046
•0046
•0045
•0045
r = ■
85.
h =
•1
•2
■3
■4
■5
•6
•7
■8
■9
1-0
1-1
1'8
l=o-o
•4117
•3905
•3670
•3417
•3149
•2873
•2595
•2319
•2052
•1798
•1560
•1341
•1141
o-i
•3905
•3723
■3518
•3292
•3050
•2796
•2537
■2277
•2022
■1777
•1546
•1332
•1136
0-2
•3670
•3518
•3342
•3145
•2930
•2702
•2464
•2222
•1983
•1749
•1527
•1319
•1127
OS
•3417
•3292
•3145
•2978
•2791
•2588
•2374
•2154
•1931
•1712
•1501
•1301
•1116
0-4
•3149
•3050
•2930
•2791
•2632
•2467
•2268
•2070
•1867
•1665
•1467
•1277
•1099
0-5
•2873
•2796
•2702
•2588
•2457
•2309
•2146
•1972
•1790
•1606
•1423
•1246
■1078
0-6
•2595
•2537
•2464
•2374
•2268
•2146
•2008
•1859
•1700
•1535
•1370
•1206
•1049
0-7
•2319
•2277
•2222
•2154
•2070
•1972
•1859
•1733
•1597
•1453
•1306
•1158
•1014
0-8
•2052
•2022
•1983
•1931
•1867
•1790
•1700
•1597
•1483
•1360
•1232
•1101
•0971
0-9
•1798
•1777
•1749
•1712
•1665
•1606
•1535
•1453
•1360
•1258
•1149
•1035
•0920
1-0
•1560
•1546
•1527
•1501
•1467
•1423
•1370
•1306
•1232
•1149
•1058
•0962
•0862
1-1
•1341
•1332
•1319
•1301
•1277
•1246
•1206
•1158
•1101
•1035
•0962
•0882
•0798
1-2
•1141
•1136
•1127
•1116
•1099
•1078
•1049
•1014
•0971
•0920
•0862
•0798
•0729
l'S
•0963
•0959
•0954
•0947
•0936
•0921
•0901
•0876
•0845
•0807
•0763
•0712
•0656
1-4
•0805
•0803
•0800
■0795
•0788
•0778
•0765
■0748
•0725
•0698
•0665
•0626
•0583
1-5
•0666
•0665
•0664
•0661
•0656
•0650
•0642
•0630
•0615
•0595
•0571
•0543
•0510
1-6
•0547
•0547
•0546
•0544
•0541
•0538
•0532
•0525
•0514
•0501
•0484
•0464
•0439
1-7
•0445
•0445
•0444
•0443
•0442
•0440
•0436
•0432
•0425
•0416
■0405
•0390
•0373
1-8
•0359
•0359
•0359
•0358
•0357
•0356
•0354
•0351
•0347
•0341
•0334
•0324
•0312
1-9
•0287
•0287
•0287
•0287
•0286
•0285
•0284
•0283
•0280
•0276
•0272
•0265
•0257
2-0
■0227
•0227
•0227
•0227
•0227
•0227
•0226
•0225
•0224
•0221
•0218
•0214
•0209
2-1
•0179
•0179
■0179
•0178
■0178
•0178
•0178
•0177
•0176
•0175
•0173
•0171
•0167
2-2
•0139
•0139
■0139
•0139
•0139
•0139
•0139
•0138
•0138
•0137
•0136
•0135
•0133
2-3
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0106
•0106
•0105
•0104
2-4
•0082
•0082
•0082
•0082
■0082
•0082
•0082
•0082
•0082
•0081
•0081
•0081
•0080
2-6
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0061
■0061
2-6
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
■0046
•0046
•0046
•0046
Tables for High Fourfold Correlation
53
Correlations from Tetrachoric Groupings.
r=-80.
h=
IS
M
1-6
1-6
1-7
1-8
1-9
2-0
2-1
2-2
2-3
2-4
2S
2-6
k=00
■0953
•0798
•0662
•0545
•0444
•0358
•0287
•0227
•0178
•0139
•0107
■0082
•0062
•0047
o-i
•0946
•0793
•0659
•0543
•0443
•0357
•0286
•0227
•0178
•0139
•0107
•0082
•0062
■0047
OS
•0936
•0787
•0655
•0540
•0441
•0357
•0288
•0227
•0178
•0139
■0107
•0082
•0062
■0047
OS
•0923
•0778
•0649
•0536
•0438
•0355
■0285
•0226
•0178
•0139
•0107
•0082
•0062
•0047
0-b
•0906
•0766
•0641
•0531
■0435
•0353
•0283
•0225
•0177
•0138
•0107
•0082
•0062
•0047
OS
•0885
•0751
•0631
•0524
•0430
•0350
•0281
•0224
•0177
•0138
•0107
■0082
•0062
•0047
0-6
•0859
■0733
■0618
•0515
•0424
■0346
■0279
•0223
•0176
•0137
•0106
•0082
•0062
•0046
0-7
•0828
•0710
•0601
•0503
•0416
•0341
•0275
•0220
•0174
•0137
0106
•0081
•0062
•0046
0-8
•0791
•0682
•0581
•0489
•0406
•0334
•0271
•0217
•0172
•0135
•0105
•0081
•0061
•0046
0-9
•0749
•0650
•0557
•0471
•0394
•0325
•0265
•0213
•0170
•0134
•0104
•0080
•0061
•0046
1-0
•0702
•0614
•0529
•0451
•0379
•0315
■0258
•0209
•0167
•0132
•0103
•0079
•0061
•0046
1-1
•0652
•0574
•0498
•0427
•0362
•0302
•0249
•0202
•0163
•0129
•0101
•0078
•0060
•0045
IS
•0597
•0530
•0464
•0401
•0342
•0287
•0238
■0195
•0158
•0126
•0099
•0077
•0059
•0045
IS
•0541
•0484
•0427
•0372
•0319
•0271
•0226
•0186
•0151
■0121
•0096
•0075
•0058
•0044
I'Jt
•0484
•0436
■0388
•0341
•0295
•0252
•0212
•0176
•0144
•0117
•0093
•0073
•0057
•0043
1-5
•0427
•0388
•0348
•0309
•0270
•0232
•0197
•0165
•0136
•0111
•0089
•0070
•0055
•0042
1-6
•0372
•0341
•0309
•0276
•0243
■0211
•0181
•0153
•0127
•0104
•0084
•0067
•0053
•0041
1-7
•0319
•0295
•0270
•0243
•0216
•0190
•0164
•0140
•0117
•0097
•0079
•0063
•0050
•0039
IS
•0271
•0252
■0232
•0211
•0190
•0168
•0146
•0126
•0107
•0089
•0073
•0059
•0047
•0037
1-9
•0226
•0212
•0197
•0181
•0164
•0146
•0129
•0112
•0096
•0081
•0067
•0055
■0044
•0035
2-0
•0186
•0176
•0165
0153
•0140
•0126
•0112
•0098
•0085
■0072
•0060
•0050
•0040
•0032
2-1
•0151
•0144
•0136
•0127
•0117
•0107
•0096
■0085
•0074
•0064
•0054
•0045
•0037
•0030
2-2
•0121
•0117
•0111
•0104
•0097
•0089
•0081
•0072
■0064
•0055
■0047
•0040
•0033
•0027
2-3
•0096
•0093
•0089
•0084
•0079
•0073
•0067
•0060
•0054
•0047
•0041
•0035
•0029
•0024
2-4
•0075
•0073
•0070
•0067
•0063
•0059
•0055
•0050
■0045
•0040
•0035
•0030
•0025
•0021
2-5
•0058
■0057
•0055
•0053
•0050
■0047
•0044
•0040
•0037
•0033
•0029
•0025
•0022
•0018
2-G
•0044
•0043
•0042
•0041
•0039
•0037
•0035
.OK
•0032
■0030
•0027
•0024
•0021
•0018
•0016
h =
1-3
14
IS 1-6
1-7
r
1-8
= oo.
1-9
2-0
2-1
2-2
2-S
2-4
2-5
2-G
k=00
•0963
•0805
•0666 -0547
•0445
•0359
•0287
•0227
•0179
•0139
•0107
•0082
•0062
•0047
o-i
•0959
•0803
■0665
•0547
•0445
•0359
•0287
•0227
•0179
•0139
•0107
•0082
•0062
•0047
0-2
•0954
•0800
•0664
•0546
•0444
•0359
■0287
•0227
•0179
•0139
•0107
•0082
•0062
•0047
OS
•0947
•0795
•0661
•0544
•0443
•0358
•0287
•0227
•0178
•0139
•0107
•0082
■0062
•0047
0-4
•0936
•0788
•0656
•0541
•0442
•0357
•0286
•0227
•0178
■0139
•0107
•0082
■0062
•0047
0-5
0921
•0778
•0650
•0538
•0440
•0356
•0285
•0227
■0178
•0139
•0107
•0082
•0062
•0047
06
•0901
•0765
•0642
•0532
•0436
•0354
•0284
•0226
•0178
•0139
•0107
■0082
0062
•0047
0-7
•0876
•0748
•0630
•0525
•0432
•0351
•0283
•0225
•0177
•0138
•0107
•0082
•0062
•0047
OS
•0845
•0725
•0615
•0514
•0425
•0347
•0280
•0224
•0176
•0138
•0107
•0082
•0062
■0047
0-9
•0807
•0698
•0595
•0501
•0416
•0341
•0276
•0221
•0175
•0137
■0106
•0081
•0062
•0046
1-0
•0763
•0665
•0571
•0484
•0405
•0334
•0272
•0218
•0173
•0136
•0106
•0081
•0062
■0046
1-1
•0712
•0626
•0543
•0464
•0390
•0324
•0265
•0214
•0171
•0135
•0105
•0081
•0061
■0046
1-2
•0656
■0583
•0510
•0439
•0373
•0312
•0257
•0209
•0167
•0133
•0104
•0080
•0061
•0046
1-3
•0597
•0535
•0473
•0411
0352
•0297
•0247
•0202
•0163
■0130
•0102
■0079
•0060
•0046
1-4
0535
•0485
•0432
•0380
•0329
■0280
•0234
•0194
•0157
•0126
•0100
•0078
•0060
•0045
1-5
•0473
•0432
■0390
•0346
•0302
•0260
•0220
•0183
•0150
•0121
•0097
•0076
•0058
•0045
1-6
•0411
•0380
•0346
•0311
•0274
•0239
•0204
■0172
■0142
■0116
•0093
•0073
•0057
•0044
1-7
■0352
•0329
■0302
•0274
•0245
•0216
•0186
•0159
0133
•0109
■0088
•0070
•0055
•0043
1-8
•0297
•0280
•0260
•0239
•0216
•0192
•0168
•0144
■0122
•0102
•0083
•0067
•0053
•0041
1-9
•0247
•0234
•0220
•0204
•0186
•0168
•0149
•0129
0111
•0093
•0077
•0063
•0050
■0039
2-0
•0202
•0194
•0183
•0172
•0159
•0144
•0129
0114
•0099
•0084
■0070
•0058
•0047
■0037
2-1
•0163
•0157
•0150
•0142
•0133
•0122
•0111
•0099
•0087
•0075
•0063
■0053
0043
•0034
2-2
•0130
•0126
•0121
•0116
•0109
•0102
•0093
•0084
•0075
•0065
•0056
■0047
•0039
•0032
23
•0102
•0100
■0097
•0093
•0088
•0083
•0077
•0070
•0063
•0056
•0049
•0042
•0035
•0029
2-4
•0079
•0078
•0076
•0073
•0070
•0067
•0063
•0058
•0053
•0047
•0042
•0036
•0031
•0025
2-5
•0060
•0060
•0058
•0057
•0055
•0053
•0050
•0047
•0043
•0039
•0035
•0031
•0026
•0022
2-6
•0046
•0045
•0045
•0044
•0043
•0041
•0039
•0037
•0034
•0032
•0029
•0025
•0022
•0019
54
Tables for Statisticians and Biometricians
TABLE XXX. Supplementary Tables for determining High
r = 90.
A=
■1
•2
•s
■4
•5
■6
•7
■8
■9
1-0
VI
1-2
h=00
•4282
•4067
•3822
•3552
•3266
•2969
•2670
•2377
•2094
•1827
•1579
•1353
•1149
o-i
•4067
•3887
•3678
•3441
•3183
•2910
•2630
•2350
•2077
•1817
•1574
•1350
•1147
0-2
•3822
•3678
•3504
•3302
•3076
•2830
•2573
•2311
•2052
•1801
■1564
•1345
•1144
OS
■3552
•3441
•3302
•3135
•2943
•2728
•2498
■2258
•2016
•1778
•1550
•1336
•1140
0-4
•3266
•3183
•3076
•2943
•2784
•2602
•2401
•2187
•1966
•1744
•1528
•1322
•1132
OS
•2969
•2910
•2830
■2728
•2602
•2453
•2284
•2097
•1900
•1698
•1497
•1302
•1119
o-a
■2670
•2630
■2573
•2498
•2401
•2284
■2145
•1988
•1817
•1037
•1454
•1274
•1101
0-7
•2377
•2350
•2311
•2258
■2187
•2097
•1988
•1860
•1717
•1561
•1399
•1236
•1075
08
•2094
•2077
■2052
•2016
•1966
•1900
•1817
•1717
•1600
•1470
•1331
•1186
•1041
0-9
•1827
•1817
■1801
•1778
•1744
•1698
•1637
•1561
•1470
•1365
•1249
•1124
•0997
VO
•1579
•1574
•1564
•1550
•1528
■1497
•1454
•1399
•1331
•1249
•1155
•1052
•0942
VI
•1353
•1350
•1345
•1336
•1322
•1302
•1274
•1236
•1186
•1124
■1052
•0969
■0878
1-2
•1149
•1147
•1144
•1140
•1132
1119
•1101
•1075
•1041
•0997
•0942
•0878
•080(5
IS
•0967
•0966
•0905
•0962
•0958
0950
•0939
•0923
•0900
•0869
•0830
•0783
•0727
1-4
•0807
•0807
•0806
•0805
•0802
•0798
•0792
•0782
•0767
•0747
•0720
•0686
•0645
1-5
0668
•0668
•0667
•0667
•0665
•0663
•0660
•0654
•0645
•0632
•0614
•0591
•0562
1-0
•0548
■0548
•0548
•0547
•0547
•0546
•0544
•0540
•0535
•0528
•0516
•0501
•0481
1-7
•0446
•0446
•0446
•0445
•0445
•0445
•0444
•0442
•0439
•0435
•0428
•0418
•0405
IS
•0359
•0359
•0359
•0359
•0359
•0359
•0358
•0357
•0356
•0353
•0350
•0344
•0338
1-9
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0286
•0286
•0284
•0282
•0279
•0274
2-0
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0226
•0225
•0223
•0220
2-1
•0179
•0179
•0179
•0179
•0179
•0179
•0179
•0178
•0178
•0178
•0177
•0176
■0175
2-2
•0139
•0139
•0139
•0139
•0139
■0139
•0139
•0139
•0139
•0139
•0138
•0138
•0137
2S
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•010(5
2-4
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
2-5
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
2-0
•0047 1
■0047
•0047
•0047
•0047
•0047
■0047
•0047
•0047
•0047
•0047
•0047
•0047
r
= •95.
/* =
•1
*
s
•4
•5
■6
•7
•8
•9
VO
VI
V2
k=00
•4495
•4271
•4005
•3705
•3385
•3055
•2729
•2414
•2116
•1840
•1586
•1357
•1151
01
•4271
•4099
•3880
•3622
•3333
•3026
•2713
■2407
•2113
•1839
•1586
•1356
•1151
0-2
•4005
•3880
•3712
•3500
•3252
•2976
•2685
■2392
•2106
•1835
•1585
•1356
•1150
OS
■3705
•3622
•3500
•3338
•3135
•2898
•2637
•2365
•2092
•1829
•1582
•1355
•1150
0-4
•3385
•3333
•3252
•3135
•2980
•2787
•2564
•2320
•2067
•1816
•1576
•1352
•1149
OS
•3055
•3026
•2976
•2898
•2787
■2640
•2459
•2250
•2024
•1792
•1563
•1346
•1147
0-6
•2729
•2713
•2685
•2637
•2564
•2459
•2321
•2153
•1960
•1753
•1542
•1335
•1141
0-7
•2414
•2407
•2392
•2365
•2320
•2250
•2153
•2025
•1870
•1694
•1506
•1315
•1131
0-8
•2116
•2113
•2106
■2092
•2067
•2024
•1960
•1870
•1753
•1611
■1452
•1283
•1113
0-9
•1840
•1839
•1835
•1829
•1816
•1792
•1753
•1694
•1611
•1505
•1377
•1234
■1084
VO
•1586
•1586
•1585
•1582
•1576
•1563
•1542
•1506
•1452
•1377
•1281
•1167
•1041
VI
•1357
•1356
•1356
•1355
•1352
•1346
•1335
•1315
•1283
•1234
•1167
•1082
■0981
VM
•1151
•1151
•1150
•1150
•1149
•1147
•1141
•1131
•1113
•1084
•1041
■0981
•0906
VS
•0968
■0968
•0968
•0968
■0967
•0966
•0964
•0959
•0950
•0934
•0908
•0870
•0818
1-4
•0808
•0808
•0808
•0808
•0807
•0807
•0806
•0804
•0800
•0792
•0778
•0755
■0721
V5
•0668
•0668
•0668
•0668
■0668
•0668
•0668
•0667
•0665
•0661
•0654
•0642
•0622
1-6
•0548
•0548
•0548
•0548
•0548
•0548
•0548
•0548
•0547
■0545
•0542
•0536
•0525
1-7
•0446
•0446
•0446
•0446
•0446
•0446
•0446
•0445
•0445
•0445
•0443
•0440
•0135
1-8
•0359
•0359
•0359
•0359
•0359
•0359
•0359
•0359
•0359
•0359
•0358
•0357
•0355
1-9
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0286
•0285
2-0
•0227
•0227
•0227
•0227
•0227
■0227
•0227
•0227
■0227
•0227
•0227
•0227
•0227
2-1
•0179
•0179
•0179
•0179
•0179
•0179
■0179
•0179
•0179
•0179
•0179
•0179
•0178
2-2
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
■0139
2-S
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
■0107
2-4
•0082
•0082
■0082
•0082
•0082
•0082
•0082
•0082
•0082
■0082
•0082
•0082
•0082
2-5
•0062
•0062
•0062
•0062
•0062
■0062
•0062
■0062
•0062
•0062
•0062
•0062
•0062
2-6
•0047
•0047
•0047
•0047
•0047
■0047
•0047
•0047
•0047
•0047
•0047
■0047
■0047
Tables for High Fourfold Correlation
55
Correlations from Tetrachoric Groupings.
r = 90.
/*=
k = 0-0
0-1
0-2
OS
0-4
OS
OS
0-7
OS
OS
1-0
1-1
1-2
1-3
14
IS
1-6
1-7
1-8
1-9
20
2-1
2-2
2:1
2-Jf
2-5
2-6
1-3
•0967
•0966
•0965
•0962
•0958
•0950
•0939
•0923
•0900
•0869
•0830
•0783
•0727
•0664
•0596
•0526
•0456
•0388
•0325
•0267
•0216
•0173
•0136
•0106
•0081
■0062
•0046
1-*
•0807
•0807
•0806
•0805
•0802
•0798
•0792
•0782
•0767
•0747
•0720
•0686
•0645
•0596
•0543
•0485
•0426
•0367
•0310
•0258
•0211
•0169
•0134
•0105
•0081
•0062
•0046
IS
■0668
•0668
•0667
•0667
•0665
•0663
•0660
•0654
•0645
•0632
•0614
•0591
•0562
•0526
•0485
•0439
•0391
■0341
•0292
•0246
•0203
•0164
•0131
•0103
•0080
■0061
•0046
1-6
•0548
•0548
•0548
■0547
•0547
•0546
•0544
•0540
•0535
•0528
■0516
•0501
•0481
•0456
•0426
•0391
■0353
■0312
•0271
•0231
•0193
•0158
•0127
•0101
•0079
•0060
•0046
1-7
•0446
•0446
•0446
•0445
•0445
•0445
•0444
•0442
•0439
•0435
•0428
•0418
•0405
•0388
•0367
•0341
•0312
•0281
•0247
■0214
•0181
•0150
•0122
•0098
•0077
•0059
•0045
•0359
•0359
•0359
•0359
•0359
0359
•0358
•0357
■0356
•0353
•0350
•0344
•0338
•0325
•0310
•0292
•0271
•0247
•0221
•0194
•0167
•0140
•0116
•0094
•0074
•0058
•0044
IS
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0286
•0286
•0284
•0282
•0279
•0274
•0267
•0258
•0246
•0231
•0214
•0194
•0173
•0151
•0129
•0108
•0088
•0071
■0056
•0043
2-0
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
■0226
•0225
•0223
•0220
•0216
•0211
•0203
•0193
•0181
•0167
•0151
•0134
•0116
•0099
•0082
•0067
•0053
•0042
2'1
•0179
•0179
•0179
•0179
•0179
•0179
•0179
•0178
•0178
•0178
•0177
•0176
•0175
•0173
•0169
•0164
•0158
•0150
•0140
•0129
■0116
•0102
•0088
•0075
•0062
•0050
•0040
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0138
•0138
•0137
•0136
•0134
•0131
•0127
■0122
•0116
•0108
■0099
•0088
■0078
•0067
•0056
•0046
■0037
2-3
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0106
•0106
•0105
•0103
•0101
•0098
•0094
•0088
•0082
•0075
•0067
•0058
•0050
•0042
•0034
x-4
2-5
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0081
•0081
■0080
•0079
•0077
■0074
•0071
•0067
•0062
•0056
•0050
•0044
•0037
•0031
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0061
•0060
•0059
•0058
•0056
•0053
•0050
•0046
•0042
■0037
•0032
•0027
2-6
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0046
•0046
•0046
•0046
•0045
•0044
•0043
•0042
•0040
■0037
•0034
•0031
•0027
•0024
r = !)5.
V3
1-4
IS
1-6
1-7
1-8
1-9 2-0
2-3
2-4
■5 2-6
--OS
01
0-2
OS
0-4
05
0-6
0-7
08
0-9
VO
1-1
1-2
IS
1-4
IS
1-6
1-7
1-8
1-9
2-0
21
2-2
2-3
2-4
2-5
2-6
•0968
•0968
•0968
•09C8
•0967
•0966
•0964
•0959
•0950
•0934
•0908
•0870
•0818
•0752
•0676
•0593
•0508
•0426
•0350
•0283
•0226
•0178
•0139
•0107
•0082
•0062
•0047
•0808
•0808
•0808
•0808
•0807
•0807
•0806
•0804
•0800
•0792
•0778
•0755
•0721
•0676
•0619
•0554
•0483
•0411
•0342
•0279
•0224
•0177
•0139
•0107
•0082
•0062
•0047
•0668
•0668
•0668
•0668
•0668
•0668
•0668
•0667
•0665
•0661
•0654
•0642
•0622
•0593
•0554
•0505
•0450
•0390
•0330
•0273
•0221
•0176
•0138
•0107
•0082
•0062
•0047
•0548
•0548
•0548
•0548
•0548
•0548
•0548
•0548
•0547
•0545
■0542
•0536
•0525
•0508
•0483
•0450
•0409
•0362
•0312
•0263
•0215
•0173
•0137
•0106
•0082
•0062
•0047
•0440
•0446
•0446
•0446
•0446
•0446
•0446
•0445
•0445
•0445
•0443
•0440
•0435
•0426
•0411
•0390
•0362
•0328
•0289
•0248
•0207
•0169
•0135
•0105
•0081
•0062
•0047
■0359
•0359
•0359
•0359
•0359
•0359
•0359
•0359
•0359
•0359
•0358
•0357
•0355
•0350
•0342
•0330
•0312
•0289
•0261
•0229
•0195
•0162
•0131
•0104
•0080
•0062
•0046
•0287
•0287
■0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0286
•0285
•0283
•0279
•0273
•0263
•0248
•0229
•0205
•0179
•0152
•0125
•0101
•0079
•0061
•0046
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0227
•0226
•0224
•0221
•0215
•0207
•0195
•0179
•0160
•0139
•0117
•0096
•0077
•0060
•0046
•0179
•0179
•0179
•0179
•0179
•0179
•0179
•0179
•0179
■0179
•0179
•0179
•0178
•0178
•0177
•0176
•0173
•0169
•0162
•0152
■0139
■0124
•0107
•0090
•0073
•0058
•0045
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0138
•0137
•0135
•0131
•0125
•0117
•0107
•0095
•0082
•0068
•0055
•0043
•0107
•0107
•0107
•0107
•0107
•0107
■0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
•0106
•0105
•0104
•0101
•0096
•0090
•0082
•0072
•0062
•0051
•0041
•0082
•0082
•0082
•0082
•0082
•0082
•0082
■0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0081
•0080
•0079
•0077
•0073
•0068
•0062
•0054
•0046
•0038
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
■0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0061
•0060
•0058
•0055
•0051
•0046
•0040
•0034
•0047
■0047
•0047
•0047
•0047
•0047
•0047
■0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0046
•0046
•0046
•0045
•0043
•0041
•0038
•0034
•0030
56
Tables for Statisticians and Biometricians
TABLE XXX. Supplementary Tables for determining High
r=100.
h=
■1
■2
S
■4
■5
■6
■7
S
■9
VO
VI
1-2
1=00
•51)00
■4602
•4207
•3821
•3446
•3085
■2743
•2420
•2119
•1841
•1587
•1357
•1151
o-i
•4602
•4602
•4207
•3821
•3446
•3085
•2743
•2420
•2119
•1841
•1587
•1357
•1151
0-2
•4207
•4207
•4207
•3821
•3446
•3085
•2743
•2420
•2119
•1841
•1587
•1357
•1151
OS
•3821
•3821
•3821
•3821
•3446
•3085
•2743
•2420
•2119
•1841
•1587
•1357
•1151
0-4
•3446
•3446
•3446
•3446
•3446
•3085
•2743
•2420
•2119
•1841
•1587
•1357
•1151
0-5
•3085
•3085
•3085
•3085
■3085
•3085
•2743
•2420
•2119
•1841
•1587
•1357
•1151
0-6
•2743
•2743
•2743
■2743
•2743
•2743
•2743
•2420
•2119
•1841
•1587
•1357
•1151
0-7
•2420
•2420
•2420
•2420
•2420
■2420
•2420
•2420
•2119
•1841
•1587
•1357
•1151
0-8
•2119
•2119
•2119
•2119
•2119
•2119
•2119
•2119
•2119
•1841
•1587
•1357
•1151
0-9
•1841
•1841
•1841
•1841
•1841
•1841
•1841
•1841
•1841
•1841
•1587
•1357
•1151
VO
•1587
•1587
•1587
•1587
■1587
•1587
•1587
•1587
•1587
•1587
•1587
•1357
•1151
1-1
•1357
•1357
•1357
•1357
•1357
•1357
•1357
•1357
•1357
•1357
•1357
•1357
•1151
V2
•1151
•1151
•1151
•1151
•1151
•1151
•1151
•1151
•1151
•1151
•1151
•1151
•1151
IS
•0968
•0968
•0968
•0968
•0968
•0968
•0968
•0968
•0968
•0968
•0968
•0968
•0968
1-4
•0808
•0808
•0808
•0808
•0808
•0808
•0808
•0808
■0808
•0808
•0808
•0808
■0808
1-5
•0668
•0668
■0668
•0668
•0668
•0668
■0668
•0668
•0668
•0668
•0668
•0668
•0668
1-6
•0548
•0548
•0548
•0548
•0548
•0548
•0548
■0548
•0548
•0548
•0548
•0548
•0548
1-7
•0446
•0446
•0446
•0446
•0446
•0446
•0446
■0446
•0446
•0446
•0446
•0446
•0446
IS
•0359
•0359
•0359
•0359
•0359
•0359
•0359
■0359
•0359
•0359
•0359
•0359
•0359
1-9
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
•0287
2-0
•0228
•0228
•0228
•0228
•0228
•0228
•0228
•0228
•0228
•0228
■0228
•0228
■0228
2-1
■0179
•0179
•0179
•0179
•0179
•0179
•0179
•0179
■0179
•0179
•0179
•0179
■0179
2-2
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
•0139
2S
■0107
•0107
•0107
•0107
•0107
•0107
•0107
•0107
■0107
•0107
•0107
•0107
•0107
2-4
■0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
•0082
2-5
■0062
•0062
•0062
•0062
■0062
•0062
■0062
•0062
•0062
•0062
•0062
•0062
•0062
2-6
•0047
•0047
•0047
•0047
■0047
■0047
■0047
•0047
•0047
■0047
■0047
•0047
•0047
Tables for High Fourfold Correlation
57
Correlations from Tetrachoric Groupings.
r = 1-00.
h=
1-3
1-4
1-5
1-6
1-7
IS
V9
2-0
2-1
2-2
2-3
2-k
2-5
2-6
k-o-o
•0968
■0808
•0668
•0548
•0446
0359
•0287
•0228
•0179
•0139
•0107
•0082
•0062
•0047
01
•0968
■0808
•0668
•0548
•0446
•0359
•0287
•0228
■0179
•0139
•0107
•0082
•0062
•0047
on
■0968
■0808
•0668
•0548
•0446
•0359
•0287
•0228
•0179
•0139
■0107
•0082
•0062
•0047
OS
•0968
•0808
•0668
•0548
•0446
•0359
•0287
•0228
•0179
•0139
•0107
•0082
•0062
•0047
0-4
•0968
•0808
•0668
•0548
■0446
•0359
•0287
•0228
•0179
•0139
•0107
•0082
■0062
•0047
0-5
•0968
•0808
•0668
•0548
0446
•0359
•0287
•0228
•0179
•0139
■0107
•0082
■0062
•0047
06
•0968
•0808
•0668
•0548
•0446
•0359
•0287
■0228
•0179
•0139
•0107
•0082
■0062
•0047
0-7
•0968
•0808
•0668
•0548
•0446
•0359
•0287
•0228
•0179
•0139
•0107
•0082
•0062
•0047
0-8
•0968
•0808
•0668
•0548
•0446
•0359
•0287
•0228
•0179
•0139
•0107
•0082
•0062
•0047
0-9
•0968
•0808
■0668
■0548
•0446
•0359
•0287
•0228
•0179
•0139
•0107
•0082
•0062
•0047
10
•0968
•0808
•0668
•0548
•0446
■0359
•0287
•0228
■0179
•0139
•0107
•0082
•0062
•0047
l-l
•0968
•0808
•0668
•0548
•0446
•0359
■0287
•0228
•0179
•0139
•0107
•0082
■0062
•0047
1-2
•0968
■0808
•0668
•0548
•0446
•0359
•0287
•0228
•0179
■01 39
•0107
•0082
•0062
•0047
IS
•0968
•0808
•0668
•0548
•0446
•0359
•0287
•0228
•0179
•0139
•0107
•0082
■0062
■0047
14
•0808
•0808
■0668
•0548
•0446
•0359
•0287
•0228
0179
•0139
•0107
•0082
•0062
•0047
1-5
•0668
•0668
•0668
•0548
•0446
•0359
•0287
•0228
•0179
•0139
•0107
■0082
•0062
•0047
1-6
■0548
•0548
•0548
•0548
•0446
•0359
•0287
•0228
•0179
•0139
■0107
■0082
•0062
•0047
1-7
•0446
•0446
•0446
•0446
■0446
■0359
•0287
•0228
■0179
•(1139
•0107
•0082
•0062
•0047
1-8
•03. r )9
•0359
•0359
•0359
•0359
•0359
■0287
■0228
•0179
•0139
•0107
•0082
•0062
•0047
10
•0287
•0287
•0287
•0287
•0287
•0287
•0287
■0228
•0179
•0139
•0107
•0082
■0062
•0047
2-0
•0228
•0228
•0228
■0228
•0228
•0228
•0228
•0228
0179
•0139
•0107
•0082
•0062
•0047
21
•0179
•0179
•0179
•0179
•0179
•0179
•0179
•0179
■0179
•0139
•0107
•0082
•0062
•0047
2-2
•0139
•0139
•0139
•0139
0139
•0139
•0139
•0139
•0139
•0139
■0107
•0082
•0062
■0047
2-3
■0107
•0107
•0107
•0107
•0107
•0107
•0107
■0107
•0107
•0107
■0107
•0082
•0062
•0047
n
•0082
•0082
•0082
•0082
•0082
•0082
■0082
•0082
•0082
•0082
•0082
•0082
■0062
•0047
2-5
•0062
•0062
•0062
■0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0062
•0047
2-r,
■0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
•0047
■0047
•0047
•0047
•0047
•0047
B.
58 Tables for Statisticians and Biometricians
TABLE XXXI. T/te V-Function.
p
Loa r(j>), Negative Charaeterist
c, 1
I
2
3
4
5
6
7
8
9
1-00
•999,9999
7497
5001
2512
0030
■998,7555
5087
2627
0173
-7727
1-01
•997,5287
2855
0430
-8011
- 5600
•996,3196
0798
-8408
-6025
3648
V02
•995,1279
-8916
-6561
-4212
-1870
•993,9535
7207
4886
2572
0265
1-03
•992,7964
5671
3384
1104
- 8831
•991,6564
4305
2052
-9806
-7567
1-04
•990,5334
3108
0889
-867?
-6471
•989,4273
2080
-9895
-7716
-5544
1-05
•988,3379
1220
-9068
-6922
- 4783
■987,2651
0525
-8406
(1291
-4188
1-06
•986,2089
-9996
-7910
- 5830
- 3757
•985,1690
-9630
-7577
- 5530
-3489
1-07
•984,1455
-9 128"
-7407
- 5392
-3384
•983,1382
-9387
-7398
-5415
-3439
1-08
•982,1469
-9506
-7535
- 5599
3655
•981,1717
-9785
-7860
- 5941
- I'i29
1-09
•980,2123
0223
-8329
-6442
-4561
■979,2686
0818
-8956
-7100
-5250
1-10
•978,3407
1570
-9738
-7914
-6095
•977,4283
2476
0676
-8882
-7095
in
•976,5313
3538
1768
0005
-8248
•975,6497
4753
3014
1281
- 9555
vvt
■974,7834
6120
4411
2709
1013
•973,9323
7638
5960
4288
2622
1-13
•973,0962
-9308
- 7659
-6017
-4381
•972,2751
1126
-9508
-7896
-6289
1-lk
•971,4689
3094
1505
-9922
- 831.-,
•970,6774
5209
3650
2096
05 19
1-15
•969,9007
7471
5941
4417
2898
•969,1386
- 9S79
-8378
- 6883
- 5393
1-16
•968,3910
2432
0960
-9493
- 8033
•967,6578
5129
3686
2248
0816
V17
•966,9390
7969
6554
5145
3742
•966,2344
0952
-9566
-8185
-6810
1-18
•965,5440
4076
2718
1366
0019
•964,8677
7341
6011
4687
3368
1-19
•964,2054
0746
-9444
-8147
-6856
•963,5570
4290
3016
1747
0483
1-20
•962,9225
7973
6725
5484
4248
•962,3017
1792
0573
-5358
-8150
1-21
•961,6946
5748
4556
3369
2188
•961,1011
-9841
- 86?5
-7515
-6361
1-22
•960,5212
4068
2930
1796
0669
•959,9546
8430
7318
6212
5111
1-23
•959,4015
2925
1840
0760
-9685
•958,8616
7553
6494
5441
4393
1-24
•958,3350
2313
1280
0253
- 9232
•957,8215
7204
6198
5197
4201
1-25
•957,3211
2226
1246
0271
-9301
•956,8337
7377
6423
5474
4530
1 -86
■956,3592
2658
1730
0806
-9888
•955,8975
8067
7165
6267
5374
1-27
•955,4487
3604
2727
1855
0988
■955,0126
- 9268
-64id
7570
0728
1-28
•954,5891
5059
4232
3410
2593
•954,1782
0975
0173
9370
-8585
1-29
•953,7798
7016
6239
5467
47(10
•953,3938
3181
2429
1682
0940
ISO
•953,0203
-9470
- 8743
-8021
-7303
•952,6590
5883
5180
4482
3789
1-31
•952,3100
2417
1739
1065
0390
•951,9732
9073
8419
7770
7125
1-S2
•951,6485
5850
5220
4595
3975
•951,3359
2748
2142
1541
0944
1-33
•951,0353
-9766
-9184
-8606
- 8034
•950,7466
6903
6344
5791
5242
1-Slt
•950,4698
4158
3624
3094
2568
•950,2048
1532
1021
0514
0012
1-35
•949,9515
9023
8535
8052
7573
■949,7100
6630
6166
5706
5251
1-36
•949,4800
4355
3913
3477
3044
•949,2617
2194
1776
1362
0953
1-37
•949,0549
0149
- 9754
-9363
-8977
■948,8595
8218
7846
7478
7115
1-38
•948,6756
6402
6052
5707
5366
•948,5030
4698
4371
4049
3731
1-89
•948,3417
3108
2803
2503
2208
•948,1916
1630
1348
1070
0797
l'Jfi
•948,0528
0263
0003
- 9748
-9497
•947,9250
9008
8770
8537
8308
1-41
•947,8084
7864
7648
7437
7230
•947,7027
6829
6636
6446
6261
1-42
•947,6081
5905
5733
5565
5402
■947,5243
5089
4939
4793
4652
1-43
•947,4515
4382
4254
4130
4010
•947,3894
3783
3676
3574
3476
1-44
•947,3382
3292
3207
3125
3049
•947,2976
2908
2844
2784
2728
1-45
•947,2677
2630
2587
2549
2514
•947,2484
2459
2437
2419
2406
1-46
•947,2397
2393
2392
2617
2396
2662
2404
2712
•947,2416
•947,2766
2432
2824
2452
2886
2477
2952
2506
3022
1-47
•947,2539
2576
1-48
•947,3097
3175
3258
3345
3436
•947,3531
3630
3734
3841
3953
1.49
•947,4068
4188
4312
4440
4572
947,4708
4848
4992
5141
5293
1.50
•947,5449
5610
5774
5943
6116
•947,6292
6473
6658
6847
7040
A horizontal bar means that the third figure of the mantissa has changed, a negative sign that it must be
lowered one unit.
Tables of the Y-Function
59
Differences : — Negative down to rule
P
1
%
S
4
5
6
7
S
9
2503
2496
2489
2482
2475
2468
2460
2454
■
2446
2440
V00
2432
2425
2419
2411
2404
2398
2390
2383
2377
2369
V01
2363
2355
2349
2342
2335
2328
2321
2314
2307
2301
V02
2293
2287
2280
2273
2267
2259
2253
2246
2239
2233
1-03
2226
2219
2212
2206
2198
2193
2185
2179
2172
2165
V04
2159
2152
2146
2139
2132
2126
2119
2112
2106
2099
V05
2093
2086
2080
2073
2067
2060
2053
2047
2041
2034
V06
2027
2021
2015
2008
2002
1995
1989
1983
1976
1970
1-07
1963
1957
1950
1944
1938
1932
1925
1919
1912
1906
V08
19( X)
1894
1887
1881
1875
1868
1862
1856
1850
1843
V09
1837
1832
1824
1819
1812
1807
1800
1794
1787
1782
V10
1775
1770
1763
1757
1751
1744
1739
1733
1726
1721
I'll
1714
1709
1702
1696
1690
1685
1678
1672
1666
1660
V12
1654
1649
1642
1636
1630
1625
1618
1612
1607
1600
VIS
1595
1589
1583
1577
1571
1565
1559
1554
1547
1542
1-14
1536
1530
1524
1519
1512
1507
1501
1495
1490
1483
1-15
1478
1472
1467
1460
1455
1449
1443
1438
1432
1426
via
1421
1415
1409
1403
1398
1392
1386
1381
1375
1370
V17
1364
1358
1352
1347
1342
1336
1330
1324
1319
1314
VIS
1308
1302
1297
1291
1286
1280
1274
1269
1264
1258
VIS
1252
1248
1241
1236
1231
1225
1219
1215
1208
1204
1-20
1198
1192
1187
1181
1177
1170
1166
1160
1154
1149
V21
1144
1138
1134
1127
1123
1116
1112
1106
1101
1096
V22
1090
1085
1080
1075
1069
1063
1059
1053
1048
1043
vss
1037
1033
1027
1021
1017
1011
1006
1001
996
990
v*4
985
980
975
970
964
960
954
949
944
938
VKB
934
928
924
918
913
908
902
898
893
887
ISO
883
877
872
867
862
858
852
846
842
837
V27
832
827
822
817
811
807
802
797
791
787
1-28
782
777
772
767
762
757
752
747
742
737
V29
733
727
722
718
713
707
703
698
693
689
VSO
683
678
674
669
664
659
654
649
645
640
VS1
635
630
625
620
616
611
606
601
597
591
VS2
587
582
578
572
568
563
559
553
549
544
1-33
540
534
530
526
520
516
511
507
502
497
1*4
492
488
483
479
473
470
464
460
455
451
VSS
445
442
436
433
427
423
418
414
409
404
VSO
400
395
391
386
382
377
372
368
363
359
VS7
354
350
345
341
336
332
327
322
318
314
VSS
309
305
300
295
292
286
282
278
273
269
1-S9
265
260
255
251
247
242
238
233 -
229
224
1-40
220
216
211
207
203
198
193
190
185
180
V41
176
172
168
163
159
154
150
146
141
137
V42
133
128
124
120
116
111
107
102
98
94
V4S
90
85
82
76
73
68
64
60
56
51
1-44
47
- 4
43
- 1
-38
-35
-30
-25
-22
-18
-13
- 9
1-45
+ 4
+ 8
+ 12
+ 16
+ 20
+ 25
+ 29
+ 33
Vlfi
+ 37
+ 41
45
50
54
58
62
66
70
75
1-47
78
83
87
91
95
99
104
107
112
115
V4S
120
124
128
132
136
140
144
149
152
156
V49
161
164
169
173
176
181
185
189
193
197
1-50
* Differences change sign at horizontal rule.
8—2
60 Tables for Statisticians and Biometricians
TABLE XXXI. The T-Function.
p
Loo T (p), Negative Characteristic, 1
1
1
2
S
4
5
6
7
8
9
1-51
•947,7237
7437
7642
7851
8064
•947,8281
8502
8727
8956
9189
V52
•947,9426
9667
9912
+ 0161
+ 0414
•948,0671
0932
1196
1465
1738
1-5S
•948,2015
2295
2580
2868
3161
•948,3457
3758
4062
4370
4682
1-54
•948,4998
5318
5642
5970
6302
•948,6638
6977
7321
7668
8019
1-55
•948,8374
8733
9096
9463
9834
•949,020S
0587
0969
1355
1745
1-56
•949,2139
2537
2938
3344
3753
949,4166
4583
5004
5429
5857
1-57
•949,6289
6725
7165
7609
8056
•949,8508
8963
9422
9885
+ 0351
V58
•950,0822
1296
1774
2255
2741
•950,3230
3723
4220
4720
5225
1-59
■950,5733
6245
6760
7280
7803
•950,8330
8860
9395
9933
+0475
1-60
•951,1020
1569
2122
2679
3240
•951,3804
4372
4943
5519
6098
1-61
•951,6680
7267
7857
8451
9048
•951,9649
+0254
+0862
+ 1475
+ 2091
V62
■952,2710
3333
3960
4591
5225
'952,5863
6504
7149
7798
8451
1-63
•952,9107
9766
+0430
+ 1097
+ 1767
953,2442
3120
3801
4486
5175
VG.i
•953,5867
6563
7263
7966
8673
•953,9383
+ 0097
+ 0815
+ 1536
+ 2260
1-65
•954,2989
3721
4456
5195
5938
•954,6684
7434
8187
8944
9704
1-66
•955,0468
1236
2007
2782
3560
•955,4342
5127
5916
6708
7504
1-67
•955,8303
9106
9913
+0723
+ 1536
•956,2353
3174
3998
4825
5656
1-68
•956,6491
7329
8170
9015
9864
•957,0716
1571
2430
3293
4159
1-69
•957,5028
5901
6777
7657
8540
•957,9427
+031?
+ 1211
+ 2108
+ 3008
V70
•958,3912
4820
5731
6645
7563
'958,8484
9409
+o:m
+ 1268
+ 2203
1-71
•959,3141
4083
5028
5977
6929
•959,7884
8843
9805
+0771
+ 1740
1-72
•960,2712
3688
4667
5650
6636
•960,7625
8618
9614
+ 0613
+ 1616
1-73
•961,2622
3632
4645
5661
6681
■961,7704
8730
9760
+ 0793
+ 1830
1-74
•962,2869
3912
4959
6009
7062
•962,8118
9178
+0241
+ 1308
+ 2378
1-75
•963,3451
4527
5607
6690
7776
•963,8866
9959
+ 1055
+ 2155
+ 3258
1-7G
•964,4364
5473
6586
7702
8821
■964,9944
+ 1070
+ 2199
+3331
+ 4467
1-77
•965,5606
6749
7894
9043
+0195
•966,1350
2509
3671
4836
6004
1-78
•966,7176
8351
9529
+0710
+ 1895
•967,3082
4274
5468
6665
7866
1-79
•967,9070
+ 0277
+ 1488
+2701
+ 3918
•968,5138
6361
7588
8818
+ 0051
V80
■969,1287
2526
3768
5014
6263
•969,7515
8770
+ 0029
+ 1291
+ 2555
181
•970,3823
5095
6369
7646
8927
•971,0211
1498
2788
4082
5378
1-82
•971,6678
7981
9287
+0596
+ 1908
•972,3224
4542
. 5864
7189
8517
1-8S
•972,9848
+ 1182
+ 2520
+ 3860
+ 5204
•973,6551
7900
9254
+ 0610
+ 1969
V8 J,
•974,3331
4697
6065
7437
8812
•975,0190
1571
2955
4342
5733
V85
•975,7126
8522
9922
+ 1325
+ 2730
•976,4139
5551
6966
8384
9805
1-86
■977,1230
2657
4087
5521
6957
•977,8397
9839
+ 1285
+ 2734
+ 4186
1-87
•978,5640
7098
8559
+ 0023
+ 1490
•979,2960
4433
5909
7389
8871
1-88
•980,0356
1844
3335
4830
6327
•980,7827
9331
+0837
+ 2346
+ 3859
189
•981,5374
6893
8414
9939
+ 1466
•982,2996
4530
6066
7606
9148
1-90
•983,0693
2242
3793
5348
6905
•983,8465
+ 0028
+ 1595
+ 3164
+4736
1-91
■984,6311
7890
9471
+ 1055
+ 2642
•985,4232
5825
7421
9020
+0621
V92
•986,2226
3834
5445
7058
8675
•987,0294
1917
3542
5170
6802
1-93
•987,8436
+0073
+ 1713
+3356
+ 5002
•988,6651
8302
9957
+ 1614
+ 3275
1M
•989,4938
6605
8274
9946
+ 1621
■990,3299
4980
6663
8350
+ 0039
1-95
•991,1732
3427
5125
6826
8530
•992,0237
1947
3659
5375
7093
1-96
•992,8815
+0539
+ 2266
+ 3995
+ 5728
■993,7464
9202
+ 0943
+ 2688
+ 4435
1-97
•994,6185
7937
9693
+ 1451
+ 3213
•995,4977
6744
8513
+»±m
+ 2062
1-98
•996,3840
5621
7405
9192
+ 0982
•997,2774
4569
6368
8169
9972
1-99
•998,1779
3588
5401
7216
9034
•999,0854
2678
4504
6333
8165
A horizontal bar means that the third figure of the mantissa has changed, a positive sign that it must he
raised one unit.
Tables of the T-Function
61
Dirt'EKENCES : — on
this page
Positive
P
1
t
S
4
5
6
7
8
9
200
205
209
213
217
221
225
229
233
237
161
241
245
249
253
257
261
264
269
273
277
V52
280
285
288
293
296
301
304
308
312
316
V5S
320
324
328
332
336
339
344
347
351
355
1-5^
359
363
367
371
374
379
382
386
390
394
1-55
398
401
406
409
413
417
421
425
428
432
l'Se
436
440
444
447
452
455
459
463
466
471
1-57
474
478
481
486
489
493
497
500
505
508
1-58
512
515
520
523
527
530
535
538
542
545
1-59
549
553
557
561
564
568
571
576
579
582
1-60
587
590
594
597
601
605
608
613
616
619
1-61
623
627
631
634
638
641
645
649
653
656
VG2
659
664
667
670
675
678
681
685
689
692
1-63
696
700
703
707
710
714
718
721
724
729
1-OJ,
732
735
739
743
746
750
753
757
760
764
vac,
768
771
775
778
782
785
789
792
796
799
1-C1U
803
807
810
813
817
821
824
827
831
835
1-07
838
841
845
849
852
855
859
863
866
869
1-08
873
876
880
883
887
890
894
897
900
904
1-69
908
911
914
918
921
925
928
931
935
938
1-70
942
945
949
952
955
969
962
966
969
972
1-71
976
979
983
986
989
993
996
999
1003
1006
V72
1010
1013
1016
1020
1023
1026
1030
1033
1037
1039
V7S
1043
1047
1050
1053
1056
1060
1063
1067
1070
1073
1-74
1076
1080
1083
1086
1090
1093
1096
1100
1103
1106
1-75
1109
1113
1116
1119
1123
1126
1129
1132
1136
1139
1-70
1143
1145
1149
1152
1155
1159
1162
1165
1168
1172
V77
1175
1178
1181
1185
1187
1192
1194
1197
1201
1204
1-78
1207
1211
1213
1217
1220
1223
1227
1230
1233
1236
1-79
1239
1242
1246
1249
1252
1255
1259
1262
1264
1268
1-80
1272
1274
1277
1281
1284
1287
1290
1294
1296
1300
1-81
1303
1306
1309
1312
1316
1318
1322
1325
1328
1331
V82
1334
1338
1340
1344
1347
1349
1354
1356
1359
1302
1-83
1366
1368
1372
1375
1378
1381
1384
1387
1391
1393
1-8 J t
1396
1400
1403
1405
1409
1412
1415
1418
1421
1425
1-85
1427
1430
1434
1436
1440
1442
1446
1449
1452
1454
1-86
1458
1461
1464
1467
1470
1473
1476
1480
1482
1485
1-87
1488
1491
1495
1497
1500
1504
1506
1509
1513
1515
1-SS
1519
1521
1525
1527
1530
1534
1536
1540
1542
1545
1-89
1549
1551
1555
1557
1560
1563
1567
1569
1572
1575
1-90
1579
1581
1584
1587
1590
1593
1596
1599
1601
1605
1-91
1608
1611
1613
1617
1619
1623
1625
1628
1632
1634
1-92
1637
1640
1643
1646
1649
1651
1655
1657
1661
1663
1-93
1667
1669
1672
1675
1678
1681
1683
1687
1689
1693
1-94
1695
1698
1701
1704
1707
1710
1712
1716
1718
1722
1-95
1724
1727
1729
1733
1736
1738
1741
1745
1747
1750
V9G
1752
1756
1758
1762
1764
1767
1769
1773
1776
1778
1-97
1781
1784
1787
1790
1792
1795
1799
1801
1803
1807
1-98
1809
1813
1815
1818
1820
1824
1826
1829
1832
1835
1-99
62
Tables for Statisticians and Biometricians
TABLE XXXII. Subtense from Arc and Chord
Table to pass from measured index /3 = 100 (arc — chord) I chord of a curve to the index
and may be closely represented by a common catenary. Suggested use: to pass
Values of a for given values of /3 as argument.
(3
■0
■1
■2
■3
■4
■5
•6
•7
■8
•9
13
23-1
23-2
23-2
23 3
23-4
23-5
23 6
23-7
23-8
23-9
n
24-0
24-1
24-2
24-3
24-4
24-5
24-6
24-7
24-7
24-8
15
24-9
25-0
25-1
25-2
25-3
25-4
25-5
25-6
25-6
25-7
10
25-8
25-9
20-0
20-1
26-2
26-3
26 '4
26-4
26-5
26 6
17
267
20 -8
2G-9
27-0
27-0
27-1
27-2
27-3
27-4
27-5
18
27-6
27-7
27-7
27-8
27-9
28-0
28-1
28-2
28-3
28-3
19
28-4
28-5
28-6
28-7
28-7
28-8
28-9
29-0
29-1
29-2
20
29-2
29 3
29-4
29-5
29 -G
29 6
29-7
29-8
29-9
30
21
30 '0
301
30-2
30-3
30 4
30-4
30-5
30-6
30-7
30 8
22
30 8
309
31-0
31 1
31-2
31-2
313
314
31-5
31-6
23
316
31-7
31-8
31 '9
319
32-0
32 1
32-2
32-3
32 3
24
32-4
32-5
32 -6
32 -G
32-7
32-8
32-9
32-9
33
33 1
25
33 2
33 3
33 3
33 4
33 5
33 6
33 G
33-7
33-8
339
2G
33-9
34
341
34-2
34-2
34 3
34-4
34-5
34 5
34-0
27
34-7
34-8
34-8
34-9
35-0
35-1
35-1
35-2
35 3
35 3
28
35-4
35 5
35 6
35 6
35-7
35-8
35 9
35-9
36
36-1
2'J
36-2
36-2
363
3G4
36-4
36 5
36-6
36-7
307
36-8
30
36 "9
36 9
37-0
371
37-2
37-2
37 3
37 4
37 5
37-5
31
37-6
37-7
37-7
37 8
37-9
38-0
38-0
38-1
38-2
38-2
S3
38-3
38-4
38-4
38-5
38 G
38-7
38-7
38-8
38-9
38-9
33
39-0
31) 1
39-2
39 2
39 3
39-4
39-4
39-5
396
39 6
Sit
397
39-8
39 8
39 9
40-0
40-1
40-1
40-2
40-3
403
35
40-4
40-5
40-5
40 6
40-7
40-7
40-8
40-9
41
41-0
30
41-1
41-2
41-2
41-3
41-4
414
41-5
41-6
41-6
41-7
37
418
41-8
41-9
42-0
42-0
42-1
42-2
42-2
42-3
42-4
38
42-4
42-5
42-6
42-6
42-7
42-8
42 '9
42-9
43-0
43-1
39
431
43-2
43 3
43 3
43-4
43-5
43-5
43
43-7
43-7
40
43-8
43-9
43 9
44-0
44-1
44-1
44-2
44-3
44 3
44-4
41
44-5
44-5
44-6
44-6
44-7
44-8
44-8
44-9
45-0
45-0
42
45-1
45-2
45 2
45-3
45-4
45-4
45-5
45-6
45-6
45-7
43
45-8
45-8
45-9
40 -0
40
46-1
40-2
46-2
463
46-4
44
46-4
46-5
4G-5
46 6
46-7
46-7
46-8
40-9
46-9
47-0
45
47-1
47-1
47-2
47 3
47-3
47-4
47-5
47-5
47-6
47-6
40
47-7
47-8
47-8
47-9
48-0
48-0
48-1
48-2
48-2
48-3
47
48-1
48-4
48-5
48-5
48-0
48-7
48-7
48-8
48-9
48-9
48
49-0
49-1
49-1
49 '2
49 '2
49-3
49-4
49-4
49-5
49-6
49
49 -G
49-7
49-8
49-8
49-9
49 9
50-0
50-1
50-1
50-2
50
50 3
50-3
50-4
50-5
50-5
50-6
50-6
50-7
50-8
50-8
51
50-9
51
51-0
51-1
51-1
51-2
513
51-3
51-4
51-5
52
515
51-6
51 G
51-7
51-8
51-8
51-9
52-0
52-0
52-1
53
52-1
52-2
52 3
52-3
52-4
52-5
62-5
520
52-6
52-7
54
52-8
52-8
52-9
53-0
53
53-1
53-1
53 2
53-3
53 3
65
534
53 4
53-5
53-6
53-6
53-7
53-8
53-8
53 9
53-9
56
54
54-1
54-1
54-2
54-3
54 '3
54-4
54-4
54-5
54-0
57
54-6
54-7
54-7
54-8
54 9
54-9
55-0
55-0
551
55-2
58
55-2
55-3
55-4
55-4
55-5
55-5
55-6
55-7
55-7
55-8
59
55-8
559
56-0
56-0
561
56-1
56-2
50 3
56 3
56-4
60
56-5
565
56-6
56-6
56-7
56 8
56-8
56-9
56-9
57-0
61
57-1
57-1
57 2
57-2
57-3
57-4
57-4
57-5
57-5
57-0
62
57-7
57-7
57-8
57 8
57-9
58-0
58
58-1
58-1
58-2
63
58 3
58-3
58-4
58-4
58-5
58-6
58-6
58-7
58-7
58-8
64
58-9
58-9
59'0
59-0
59-1
59-2
59-2
59-3
59 '3
59-4
Tables of Catenary Indices
63
in the case of the Common Catenary,
a =100 subtense /chord, on the assumption that the curve is symmetrical about the subtense
from callipers and tape measurements of the nasal bridge to the ratio of "rise" to "span."
Values of a for given values of /3 as argument.
|8
■o
■1
■2
■3
■4
■5
•6
•7
■8
■9
65
59 -5
59 -5
59-6
59-6
59-7
59-8
59-8
59 '9
59 9
60 '0
66
60-1
60-1
60-2
60-2
60-3
60-4
60-4
60-5
60
5
60-6
67
60-7
60-7
60-8
60-8
60-9
61
61-0
61-1
61
1
61-2
68
61-3
613
61-4
61-4
615
616
61-6
61-7
61
7
61-8
69
61-9
61-9
62-0
62-0
62-1
62-1
62-2
62-3
62
3
62-4
70
62-4
62-5
62-6
62-6
62-7
62-7
62-8
62-9
62
9
63
71
630
63-1
631
63-2
63 3
63 3
63-4
634
63
5
63 6
72
636
63-7
637
63-8
63 9
63-9
64-0
64
64
1
64-1
73
64 2
64-3
64 3
64-4
64-4
64 5
64-6
64-6
64
7
64-7
74
64-8
64 9
64-9
65-0
65-0
65 1
65-1
65-2
65
3
65 3
75
65-4
65-4
65-5
65-6
65 -6
65-7
65-7
65 -8
65
8
65-9
76
66 '0
66-0
66-1
66 2
662
66-3
66 3
66 4
66
4
66-5
77
66-5
66-6
66-7
66-7
66-8
66-8
66 9
66 9
67
67-1
78
67-1
67-2
67-2
67 3
67-4
67-4
67-5
67-5
67
6
67-6
79
67-7
67-8
67-8
679
67 9
68-0
68-0
681
68
2
68-2
80
68-3
68 3
68-4
68-5
68-5
68 6
68-6
68-7
68
7
68-8
81
68-9
68-9
69-0
69-0
69-1
69-1
69-2
69 3
69
3
69 4
82
69-4
69-5
69 5
69-6
69-7
69-7
69-8
69-8
69
9
70
83
70-0
70-1
70-1
70-2
70-2
70 3
70-4
70-4
70
5
70 5
84
70-6
70-6
70-7
70-8
70-8
70-9
70-9
71-0
71
711
85
71-2
71-2
71-3
71-3
71-4
71-4
71-5
71-6
71
6
71-7
86
717
71-8
71-8
71-9
72-0
72-0
72-1
72-1
72
2
72-2
87
72-3
72-4
72-4
72-5
72-5
72-6
72-6
72-7
72
8
72-8
88
729
72-9
73
73
73-1
73-2
73-2
73 3
73
3
73-4
89
734
73 '5
73-6
73-6
73-7
73-7
73-8
73-8
73
9
73-9
90
74
74-1
74-1
74-2
74-2
74 3
74-3
74 '4
74
5
74-5
91
74-6
74-6
74-7
74-7
74-8
749
74 9
75-0
75
751
92
75-1
75-2
75-3
75-3
75-4
75-4
75-5
75-5
75
6
75-6
93
75-7
75-8
75-8
75-9
75-9
76-0
76-0
76-1
76
2
76-2
94
76-3
76-3
76-4
76-4
76-5
76-6
76-6
76-7
76
7
76-8
95
76-8
76-9
769
77-0
77-1
77-1
77-2
77-2
77
3
77-3
96
77-4
77-5
77-5
77-6
77-6
77-7
77-7
77-8
77
8
77-9
97
78-0
78-0
78-1
78-1
78-2
78-2
78-3
78-3
78
4
78-5
98
78-5
78-6
78-6
78-7
78-7
78-8
78-9
78-9
79
79-0
99
79-1
79-1
792
792
79-3
79-4
79-4
79 5
79
5
79 6
100
79-6
797
79-8
79 8
79 9
799
80-0
80
80
1
80-1
101
80-2
80-3
80-3
80-4
80-4
80-5
80-5
80-6
80
6
80-7
102
80-8
80-8
80-9
80-9
81-0
81-0
81-1
81-1
81
2
81-3
1CS
81-3
81-4
81 '4
81-5
81-5
816
81-6
81-7
81
8
81-8
104
8T9
819
82-0
82-0
82-1
82-1
82-2
82-3
82
3
82-4
105
82-4
82-5
82-5
826
82-6
82-7
82-8
82-8
82
9
82-9
106
83-0
83-0
83-1
83-1
83 2
83 3
83-3
83 4
83
4
83-5
107
835
83-6
83 6
83-7
83-8
83-8
83-9
83-9
84
84-0
108
84-1
84-1
84-2
84-3
84 3
84-4
84-4
84-5
84
5
84-6
109
84-6
84-7
84-8
84-8
84-9
84-9
85-0
85-0
85
1
85-1
110
85-2
85-3
85-3
85-4
85-4
85-5
85-5
85 6
85
6
85-7
111
85-8
85-8
85-9
85-9
86-0
86-0
86-1
86-1
86
2
86-2
112
86-3
86-4
86-4
86-5
86-5
86-6
86-6
86-7
86
7
86-8
113
86-9
86-9
87-0
87-0
87-1
87-1
87-2
87-2
87
3
87-4
114
87-4
87-5
87-5
87-0
87-6
87-7
87-7
87-8
87
8
87-9
115
88-0
88-0
88-1
88-1
88-2
88-2
88-3
88-3
88
4
88-5
IV,
88 '5
88-6
88-6
88-7
88-7
88-8
88-8
88-9
88-9
89-0
64
Tables for Statisticians and Bio metricians
TABLE XXXIII, A and B. Supplementary Tables of Subtense from
Arc and Chord.
TABLE XXXIII.
Supplementary Tables for Subtense Index a as calculated from tlie
arcual value B on the Catenary Hypothesis.
(A)
Values of a
for low B-
/9
■0
•1
'2
■8
■4
•5
■6
•7
■8
■9
6
153
15-4
15-6
15-7
15-8
16-0
161
162
163
16-5
7
16-6
16-7
168
17-0
171
17-2
17-3
174
17-6
17-7
8
17-8
17-9
18-0
18-1
18-3
18-4
18-5
18-6
18-7
18-8
9
18-9
19-1
19-2
193
19-4
19-5
19-6
19-7
19-8
19 1)
10
20-0
20-1
20-2
20-3
20-4
20-6
20-7
20-8
20-9
21-0
11
21-1
21-2
2T3
21-4
21-5
21-6
21-7
21-8
219
22-0
12
22-1
22-2
22-3
22-4
22-5
22-6
22-7
22-8
229
23-0
(B) Values of a. for high B.
a
a
a
a
f»
a
/3
a
a
101
80-2
126
94-0
151
107-5
176
120-8
201
133-9
226
147-0
102
80
8
127
94
6
152
108-0
177
121
3
202
134-5
227
147-5
10S
81
3
128
95
I
153
108-5
178
121
8
203
13.V0
228
148-0
104,
81
:)
129
95
e
154
109-1
179
122
4
204
135-5
229
148-6
105
82
i
ISO
96
2
155
109-6
180
122
it
205
136-0
230
149-1
106
83
181
96
7
156
110-2
181
123
4
206
136 6
281
149 6
107
83
5
132
97
2
157
110-7
182
124
207
137-1
232
150-1
108
84
1
133
97
8
158
111-2
183
124
5
208
1376
233
150 6
109
84
6
131,
98
a
159
111-8
184
125
a
209
138 1
284
151-2
110
85
2
185
98
8
160
112-3
185
125
5
210
138-7
235
151-7
111
85
H
136
99
1
101
112-8
186
126
1
211
139-2
236
152-2
112
86
3
137
99
9
162
113-4
187
126
6
212
139-7
237
152-7
118
86
it
188
100
6
163
113-9
188
127
1
218
140-2
238
153-2
111,
87
4
139
101
164
114-4
189
127
7
214
140-8
23'J
153 8
115
88
HO
101
6
165
114-9
190
128
2
215
141-3
240
154 3
116
88
5
11,1
102
]
166
115-5
191
128
7
216
141-8
241
154-8
117
89
1
142
102
7
167
1160
192
129
2
217
142-3
242
155-3
118
89
(i
148
103
■2
168
116-5
193
129
8
218
142-8
243
155-8
119
90
1
W
103
7
169
117-1
194
130
3
219
143-4
244
156-3
120
90
7
145
104
8
170
117-6
195
130
8
220
143-9
245
156-9
121
91
2
146
104
8
171
118-1
196
131
3
221
144-4
246
157-4
122
91
8
l/,7
105
3
172
118-7
197
131
8
222
144-9
247
157-9
123
92
:s
148
105
9
173
119-2
198
132
1
223
145-4
248
158-4
121,
92
8
149
106
1
174
119-7
199
132
it
224
146-0
249
159-0
125
93-4
150
106-9
175
120-2
200
133-4
225
146 5
250
159-5
s
r2
^
©
I
to
a
5
fe>
I
is
g
s
s
X
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X
Diagram of Mean Contingency
\
X
v
:
i:
*> s % % $ « *
m
65
06 Tables for Statisticians and Biometricians
XXXV. Diagram to determine the type of a Frequency Distribution from a. knowledge
of the Constants j3 t and /3 a . Customary Values of yS, and /8 2 .
•1 2 -3 -4 -5 -6 7 -8
A
•9
1-0 M 1-2 1-3 1-4 1-5 1-6 17 1-8
1
(f
k
{ k
r
o
Uj
/t
^
u
^
I,
u T
j i
Jl
((
i\
n
i>*N^
i
U I
l
I
T
J I
6j
TC
mV—
\
r
iiJ/^
T
XvX
1
I
"tiii^
>
r
r
r^^
f\
VI
tnil
^V>^
p
VI
IV
Heti
r0 $Ki
P/C
Tv
7
A
5>^
0> -^
Q_
^
—
8
Frequency Type from ft and ft
67
XXXVI. Diagram showing Distribution of Frequency Types for High Values
for ft and ft.
ft
10 20 30
40
50 80
vvvXX.
o Vsn. ^
50
u, ^~~"-
.10
\ \ w
J, N^
•
\ \ V s
eo
\ \ \
V \ *
\ \
J,
80
\ \
\ \
Heterotypic \ \
100
i \
m
y \
HHmtyOtc
-
(Q. >'-'o
i Heterotypic^
140
\
\ V, 1
A-«
A , so
i
•o
100
i
■6
i
i \
*
\
|
<3
^
*
180
\
\
1
1
200
\
\
>?.o
\
i
\
\
940
9—2
68
Tables for Statisticians and Biometricians
TABLE XXXVII. To find the Probable Error of ft.
Values of ViVSp .
ft
o-oo
0-05
o-io
0-15
0-20
0-25
0-30
0-85
040
0-45
OSO
0-55
o-co
0-65
0-70
0-75
2-0
2-1
2-2
2S
2-4.
2-5
2-6
2-7
2-8
2-9
SO
3-1
8-2
SS
S'4
8-5
8-6
3-7
3-8
8-9
h-o
Jf-2
4-3
4'4
k-5
4'6
4-7
4-8
4-9
5-0
5-1
5-2
5-8
5-4
5-5
6-6
5-7
6-8
5-9
6-0
6-1
6-8
6-4
6-5
6-6
6-7
6-8
6-9
7-0
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
000
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
0-58
0-59
o-eo
0-62
0-64
0-66
0-69
0-73
0-77
0-81
0-87
0-94
1-02
1-12
1-24
1-37
1-50
1-64
1-78
1-93
2-10
0-93
0-95
0-97
0-99
1-02
1-05
1-10
1-15
1-22
1-30
1-40
1-53
1-67
1-82
1-99
2-16
2-33
2-50
2-67
2-86
3-07
3-29
3-53
3-78
4 05
4-33
1-15
1-12
1-13
1-15
1-20
1-26
1-34
1-42
1-51
1-61
1-73
1-86
2-02
2-20
2-38
2-57
2-78
2-99
3-20
3-43
3-69
3-87
4-19
4-52
4-85
5-18
1-37
1-30
1-30
1-32
1-37
1-45
1-54
1-64
1-75
1-87
2-01
2-17
2-33
2-50
2-68
2-89
311
3-36
3-62
3-89
4-17
4-47
4-79
5-13
5-49
5-88
1-57
1-50
1-48
1-49
1-54
1-61
1-72
1-83
1-94
2-06
2-20
2-35
2-52
2-71
2-93
317
3-43
3-70
3-97
4-25
4-55
4-87
5-21
5-58
5-98
6-42
1-77
1-70
1-67
1-67
1-70
1-76
1-86
1-96
2-07
2-20
2 34
2-51
2-71
2-92
3-14
3-39
3-65
3-93
4-23
4-54
4-87
5-21
5-58
5-97
6-40
6-87
7-37
7-90
8-46
9 05
9-66
1-97
1-90
1-86
1-81
1-86
1-91
2-00
2-09
2-20
2-33
2-47
2-64
2-84
3-06
3-30
3-56
3-84
4-14
4-46
4-79
5-13
5-49
5-88
6-29
6-74
7-23
7-76
8-31
8-88
9-47
10-08
2-17
2-10
2-05
2-02
2-02
2-05
2-13
2-22
2-32
2-44
2-57
2-75
2-95
3-18
3-43
3-69
3-99
4-31
4-64
4-97
5-32
5-69
6-10
6-54
7-01
7-52
8-07
8-64
9-24
9-86
10-50
2-38
2-29
2-22
2-19
2-18
2-19
2-25
2-32
2-41
2-53
2-67
2-85
3-05
3-28
3-53
3-81
4-12
4-44
4-77
5-11
5-48
5-87
6-30
6-75
7-24
7-75
8-30
8-90
9-54
10-21
10-90
2-58
2-48
2-41
2-36
2-34
2-33
2-37
2-42
2-50
2-62
2-76
2-94
3-14
3-37
3 63
3-91
4-22
4-54
4-87
5-23
5-62
6-03
6-46
6 93
7-42
7-95
8-51
9-11
9-75
10-42
11-19
2-80
2-69
2-61
2-55
2-51
2-49
2-50
2-53
2-60
2-70
2-84
3-00
3-22
3-44
3-70
3-98
4-29
4-61
4-95
5-32
5-72
6-15
6-60
7-07
7-57
8-10
8-66
9-25
9-89
10-58
11-33
3-02
2-91
2-81
2-74
2-68
2-65
2-64
2-65
2-70
2-79
2-92
3-08
3-27
3-50
3 '75
4-02
4-33
4-66
5-00
5-38
5-79
6-23
6-69
7-18
7-68
8-21
8-76
9-35
9-99
10-69
11-44
12-26
13-10
13-98
14-91
15-90
3-24
3-12
3-0!
8-93
2-85
2-81
2-78
2-77
2-80
2-89
3-00
3-15
333
3 - 55
3-79
4-06
4-37
4-70
6-05
5-43
5-84
6-28
6'75
7-25
7-76
8-29
8-85
9-44
10-08
10-78
11-53
12-36
13-26
14-15
15-05
15-98
3-46
3-34
3-22
3-12
3 03
2-97
2-92
2-90
2-93
2-99
3-09
3-23
3-40
3-60
3-83
4-10
4-40
4-72
5-07
5-46
5-88
6-32
6-80
7-29
7-80
8-34
8-91
9-50
10-14
10-84
11-60
12-42
13-29
14-18
15-10
16 05
3-71
3 57
3-44
3-32
3-22
3-14
3-08
3-05
3-05
3-09
3-18
3-30
3-46
3-65
3-87
4-12
4 41
4-74
5-09
5-48
5-89
33
681
7-31
7-83
8-37
8-95
9-54
10-18
10-80
11-64
12-43
13-29
14-18
15-11
16-07
Probable Errors of Frequency Constants
69
TABLE XXXVII.— (continued).
Values of ViV%,.
ft
0-80
0-85
0-90
0-95
1-00
1-05
1-10
1-15
V20
V25
ISO
1-86
'l'40
1-45
1-5U
3-96
4-21
4-47
4-73
5-00
5-27
5-55
5-83
6-12
6-41
6-71
7-01
7-31
7-62
7-94
2-0
3-80
4-03
4
87
4-53
4-80
5-07
5-34
5-62
5-90
6-18
6-48
6-77
7-07
7-37
7-69
2-1
3-66
3-88
4
11
4 36
4-63
4-88
5-15
5-42
5-69
5-96
6-25
6-54
6-84
7-14
7-45
2-2
3-52
3-74
3
!)i;
4-20
4-46
4-71
4-96
5-22
5-48
5-75
6-02
6-31
6-61
6-91
7-21
2S
3-41
3-62
3
83
4-05
4-29
4-54
4-78
5-03
5-28
5-55
5-82
6-10
6-38
6-68
6-97
2-4
3-32
3-51
3
71
3 92
4-15
4-38
4-61
4-85
5-10
5-36
5-62
5-89
6-16
6-45
6-74
2-6
325
3-42
3
SO
3-80
4-01
4-23
4-45
4-68
4-92
5-17
5-43
5-68
5-94
6-22
6-51
2-6
3-20
3-35
3
51
3-69
3-89
4-10
4-32
4-54
4-76
5-00
5-24
5-48
5-73
6-00
6-28
2-7
3-18
3-32
3
-17
3-63
3-80
4-00
4-21
4-41
4-62
4-84
5-07
5 30
553
5-79
6-06
2-8
3-19
3-32
3
•15
3-60
3-75
3-92
4-11
4-30
4-49
4-70
4-91
5-12
5-34
5-59
5-85
2-9
3-27
3-38
3
49
3-61
3-74
3-87
4 03
4-21
4-39
4-58
4-78
4-98
5-19
5-42
5-68
s-o
3-38
3-47
3
57
3-67
3-77
3-89
4-02
4-16
4-31
4-48
4-66
4-85
5-05
6-28
5-53
s-i
3-53
3-60
3
68
3-76
3-84
3-93
4-03
4-15
4-28
4-43
4-59
4-75
4-92
5-15
5-40
3-2
3-70
3-75
3
81
3-88
3-95
4-02
4-10
4-19
4-28
4-42
4-56
4-69
4-84
5-04
5-28
8-3
3-90
3-93
3
97
4-03
4-08
4-14
4-20
4-26
434
4-45
4-56
4-66
4-78
4-97
5-18
8-4
4-14
4-17
4
18
4-22
4-26
4-30
4-34
4-39
4-45
4-52
4-60
4-68
4-79
4-93
5-12
8-5
4-42
4-44
4
45
4-47
4-49
4-51
4-54
4-57
4-62
4-67
4-74
4-78
4-81
4-95
5-09
8-6
4-74
4-75
4
76
4-76
4-77
4-78
4-79
4-81
4-84
4-87
4-90
4 92
4-95
5 04
5-13
8-7
5-10
5-10
5
08
6-08
5-08
6-07
5-07
5-06
5-06
5-08
5-09
5-11
5-14
5-18
5-22
8-8
5-49
5-48
5
46
5-44
5-42
5-40
537
5-35
5-33
5-32
5-32
5-33
5-34
5-35
5*37
8-9
5-89
5-88
5
86
5-83
5-80
5-76
5-72
5-69
5-65
5-62
5-60
5-58
5-57
5-57
5-59
4-0
6 33
6-32
6
30
6-26
6-21
6-16
6-11
6-06
6-02
5-98
5-94
5-91
5-88
5-86
5-86
4-1
6-80
6-79
6
76
6-71
6-65
6-60
6-54
6-48
6-42
6-36
631
6-27
6-24
6-21
6-18
4-2
7-30
7-28
7
25
7-19
7-13
7-07
7-01
6-93
6-87
6-80
6-74
6-67
6-62
6-57
6 53
4-8
7-83
7-80
7
70
7-71
7-65
7-58
7-51
7-44
7-37
7-28
7-20
7-12
7-05
6-98
6-92
4-4
8-38
8-36
8
32
8-28
8-21
8-14
8-07
7-99
7-90
7-81
7-71
7-61
7-51
7-42
7-34
4-5
8-96
8-95
8
91
8-86
8-79
8-72
8-64
8-55
8-45
8-35
8-24
8-13
8-00
7-90
7-80
4-6
9-57
9-57
9
53
9-47
9-40
9-33
9-24
9-14
9-04
8-93
8-82
8-69
8-55
8-42
8-31
4-7
10-20
10-23
10
10
10-10
10-05
'9-97
9-88
9-77
9-67
9-55
9-42
9-28
9-14
9-00
8-87
4-8
10-91
10-92
10
87
10-80
10-74
10-66
10-57
10-44
10-32
10-18
10-04
9-90
9-76
9-63
9-50
4-9
11-66
11-65
11
Gl
11-55
11-48
11-39
11-29
11-17
11-04
10-90
10-77
10-62
10-46
1030
10-14
5-0
12-45
12-43
12
38
12-32
12-24
12-14
12-03
11-91
11-78
11-64
11-50
11-34
11-15
10-96
10-82
5-1
13-28
13-25
13
SO
1313
13-04
12-92
12-80
12-67
12-54
12-40
12-24
12-07
11-88
11-72
11-54
5-2
14-16
14-12
14
07
13-98
13-87
13-76
13-63
13-47
13-35
13-20
13-02
12-84
12-66
12-48
12-30
5-8
15 09
15 06
15
00
14-90
14-78
14-65
14-51
14-36
14-22
14-05
13-81
13-67
13-48
13-29
13-11
5-4
16-06
16-02
15
96
15-87
15-76
15-63
15-49
15-33
15-17
15-00
14-81
14-61
14-40
14-18
13 97
5-5
—
17
02
16-91
1679
16-67
16-51
16-34
16-18
15-95
15-70
15-50
15-30
15-07
14-84
5-6
18
14
17-99
17-88
17-75
17-58
17-40
17-23
16-94
16-70
16-47
16-26
16-04
15-77
5-7
19
34
19-13
19-02
18-87
18-69
18-48
18-26
17-98
17-74
17-50
17-26
17-01
16-76
5-8
20
57
20-36
20-20
20-03
19-84
19-62
19-39
19-11
18-84
18-59
18-32
18-05
17-78
5-9
21
86
21-65
21-45
21-25
21-03
20-79
20-54
20-29
20-02
19-76
19-47
19-18
18-90
6-0
_
22-36
22-18
21-92
21-61
21-31
20-97
20-61
20-30
20-13
6-1
23-77
23-61
23-32
23-00
22 63
22-22
21-82
21-50
21-29
6-2
2533
25-09
24-74
24-38
24-00
23-55
23-13
22-78
22-50
0-3
.
26-95
26-64
26-27
25-86
25-43
26-00
24-52
24-12
23-82
6-4
28-61
28-18
27-73
27-30
26-89
26-46
26-06
27-67
29-40
31-15
3302
34-89
25-65
27-21
28-90
3061
32-41
34-16
25'24
26-75
28-35
29-94
31-72
33-59
6' -5
0-6
6-7
6-8
6-9
7-0
70
Tables for Statisticians and Biornetricians
TABLE XXXVIII. To find Probable Error of fi»
Values of JNZp,.
ft
o-oo
0-05
o-io
0-15
0-20
0-25
oso
0S5
0-40
0-45
OSO
OSS
0-60
0-65
0-70
' 0-75
i
2-0
1-41
1-60
1-74
1-93
2-11
2-28
2-44
2-60
2-77
2-94
3-12
3-29
3-46
3-65
3-86
4-05
s-i
1-57
1-70
1-89
2-00
2-10
2-20
2-35
2-51
2-68
2-86
305
3-24
3-44
364
3-84
I 404
**
1-75
1-94
2-07
216
2-20
2-28
2-40
2-53
2-68
2-85
304
1 3-23
3-43
3-63
3-83
4-03
as
1-95
2-16
2-28
2-35
2-42
2-49
2-58
2-67
2-78
2-92
3 09
| 3-27
3-45
3-64
3-84
4-03
m-4
2-18
2-39
2-53
2-60
2-72
2-82
2-90
2-96
3 02
3-10
3-22
335
3-50
36S
3-86
4 03
2-5
2-46
2-68
2-83
2-97
309
3-19
327
3-31
3-32
3-36
3-47
3-53
3-63
3-75
3-88
4-03
2-6
2-78
303
3-24
3-38
3-52
3-60
3-66
3-69
3-69
3-70
3-75
3-78
3-83
3-87
3-95
4-07
2-7
3-17
3-48
3-71
3-87
3-98
4-03
4-08
4-12
4-11
4-09
4-07
4-06
4-06
4-06
4-07
4-15
2-8
3-64
4-02
4-26
4-42
4-52
4-58
4-60
4-59
4-57
4-52
4-44
4-39
4-34
432
4-31
4-34
2-9
4-22
4-65
4-94
5-11
5-20
5-22
5-18
5-13
5-07
4-99
490
4-80
4-70
463
4-60
4-61
3-0
4-90
5-48
5-76
5-89
5-95
5-93
5-86
5-76
5 65
5-53
5-41
5-30
5-20
5-12
5-05
5-00
8-1
5-75
6-41
6-72
6-88
6-90
6-82
6-70
6-54
6-38
6-22
6-07
5-92
5-79
5-69
560
5-53
3-2
6-77
7-55
7-90
8-00
7-97
7-83
7-63
7-42
7-21
7-03
6-86
6-70
6-53
6-39
626
6-14
3S
8-00
8-83
9-22
9-30
9-22
9-02
8-80
8-53
8-29
8-05
7-83
7-60
7-38
7-20
7-02
6-84
3-4
9-37
10-28
10-68
10-76
10-67
10-46
10-20
9-91
9-62
9-31
901
8-73
8-44
8-18
7-92
7-66
3-5
10-85
11-75
12-31
1252
12-46
12-25
11-95
11-60
11-24
10-86
10-45
10-03
9-63
9-26
8-90
8-54
S-6
12-67
13-74
14-40
14-78
14-53
14-21
13-80
13-38
12-95
12-55
1210
11-60
1106
1054
1002
955
3-7
14-78
15-98
16-78
17-09
16-93
16-53
1605
15-58
15 09
14-61
14-08
13-49
12-74
12-02
11-36
10-80
3-8
17-50
18-83
19-83
20-03
19-78
19-36
18-76
18-22
17-64
16-98
16-25
15-30
14-42
13-60
12-88
12-27
3-9
20-80
22-50
23-68
23-81
23-34
22-67
21-98
21-14
20-29
19-45
18-58
17-54
16-50
1554
14-77
14-06
4-o
24-74
26-83
28-47
28-05
27-24
26-29
25-25
24-18
23-03
22-02
2101
20-01
19-04
18-12
17-23
1636
4-1
—
—
35-00
34-17
32-88
31-36
29-77
28-13
26-60
25-12
23-82
22-64
21-54
2053
19-56
18-62
4-2
—
—
43-3
41-4
39-2
37-2
35-2
33-2
31-2
29-2
27-4
260
24-7
23-4
22-3
213
^•3
—
—
55-3
51-6
48-0
44-6
41-2
38-6
36-2
33-8
31-8
3lM
28-5
2(>-9
25-6
24-3
4-4
—
—
72-7
66-0
59-
54-1
49-5
45-7
42-1
39-2
36-8
34-8
32-9
310
292
27-7
4-5
—
—
96-5
82-7
72-7
65-3
598
54-7
50-8
47-2
44-0
41-0
38-5
36-2
341
320
4-6
—
—
—
—
—
—
75-0
68-0
62-2
56-9
52-2
48-2
45-1
42 2
39 6
37-2
4-7
—
—
—
—
—
—
101-3
87-2
76-8
68-3
620
56-9
52-7
49-1
45-9
42-8
4-8
—
—
—
—
—
—
140-0
115-2
96-2
826
72-7
66-1
60-9
56-7
52-9
49-3
4-9
204-5
150-8
122-3
102-5
89-1
80 2
72-4
66-6
61-4
56-7
5-0
—
—
—
325-7
200-0
1542
1268
110-1
96-9
86-6
78-1
71-2
65-6
5-1
1036
94-4
85 9
780
5-2
130-4
116-4
1040
91-0
5S
—
175-2
144-8
124-4
109-6
5-4
224-4
1780
1510
132-6
5-5
340-8
246
195-3
1632
5-6
5-7
—
—
BS
5-9
6-0
6-1
—
6-2
r>s
G-4
6-5
6-6
6-7
6S
6-9
7-0
Probable Errors of Frequency Constants
71
TABLE XXXVm.— (continued).
Values of ViV £„,.
ft.
0-80
0-85
0-90
0-05
VOO
1-05
1-10
1-15
1-20
V25
ISO
1-35
1-40
1-45
ISO
4-24
4-43
4-62
4-81
5-00
5-19
5-38
5-56
5-75
5-94
612
6-30
6-49
6-67
6-84
2-0
4-23
441
4-59
4-77
496
5-15
5-34
5-53
5-72
5-90
6-08
6-27
6-47
665
6-83
2-1
4-22
4-39
4-56
4-74
4-93
5-12
5-31
5-50
5-69
5-87
605
6-24
6-44
6-63
6-82
2-2
4-20
4-36
4-53
4-71
490
508
5-27
5-46
5-65
5-84
602
6-21
641
6-61
6-80
2-8
419
4-35
4-51
4-69
4-87
5-05
5-23
5-42
561
5-80
5-99
618
6-38
6-58
6-78
2-4
4-18
434
4-50
4-67
4-85
5-03
5-21
5-39
5-58
5-77
5-96
6-15
635
6-54
6-74
2-5
420
4-35
4-50
4-67
4-84
5-01
5-20
5-36
554
5-72
5-91
611
630
6-49
6-68
2-6
4-26
4-38
4-52
468
4-84
5-01
5-18
5-34
5-51
5-67
5-85
6-05
6-25
6-44
6-62
2-7
4-40
4-50
460
4-72
4-86
5-03
5-19
5-34
5-49
5-65
5-83
602
621
6-39
6-58
2-8
4-63
4-67
4-73
4-82
4-93
5-05
5-20
535
5-50
5-66
5-82
6-00
6-18
6-36
654
2-9
4-98
4-97
4-99
5-03
5-10
5-18
5-28
5-39
5-52
5-66
5-82
5-98
6-15
633
6-51
8-0
5-47
5-42
5-38
5-34
5-36
5-37
5-41
5-48
5-58
5-70
5-83
5-97
614
6-32
6-52
3-1
603
592
5-83
5*75
5-67
5-62
5-60
5-62
5-68
5-78
5-90
603
618
634
6-52
3-2
6-67
6-51
6-35
6-22
609
6-00
5-90
5-94
5-92
5-95
6-01
6-12
6-25
6-37
653
8-3
7-41
7-17
6-95
6-77
6-61
6-48
6-29
6-26
6-24
6-22
6-22
6-26
6-34
6-47
6-61
8-4
8-22
7-92
7-64
7 38
7-17
699
6-84
6-72
663
6-57
6-54
653
6-56
661
6-71
3-5
9-14
8-80
8-51
8-23
7-98
7-70
7-53
7-40
7-22
7 -09
6-99
6-98
6-95
6-92
6-93
3-6
10-34
9-94
9-58
9-25
8-96
8-66
8-36
8-14
7-90
7-75
7-61
7-51
7-42
7-34
7-23
3-7
11-77
11-29
10-82
10-37
9-98
9-62
9-31
903
8-73
8-51
8-29
8-11
7-94
7-78
7-60
8-8
13-42
12-85
12-31
11-79
11-30
10-86
10-41
10-02
9-64
9-34
9-03
8-77
8-52
8.30
8-10
8-9
15-58
14-84
14-10
13-42
12-79
12-20
11-64
1113
10-65
10-21
9-83
9-51
9-20
8-92
8-67
4-0
17-72
16-85
16-01
15-21
14-44
13-70
1300
12 34
11-73
1117
10-67
10-24
9-87
9-58
9-32
4-1
20-2
19-2
18-3
17-3
16-4
15-5
14-7
14-0
133
12-6
12-0
11-5
11-0
10-5
10-3
4-2
23-1
22-0
20-9
19-8
18-7
17-6
16-7
15-8
15-0
14-2
13-5
12-8
12-3
11-8
11-3
4-8
26-3
25-0
23-8
22-5
21-3
20-1
19-0
180
17-1
161
15-3
146
13 9
132
126
4-4
30-1
28-4
26-8
25-3
23-9
22-6
21-4
20-3
19-3
18-3
17-3
164
15-6
14-8
14-1
4-5
34-7
32-5
30-5
28-8
27-3
25-6
24-2
22-9
21-7
20-6
19-5
18-4
17-5
16-7
161
4-6
40-0
37 4
35-0
32-8
30-9
29-2
27-6
26-1
24-7
23-3
22-0
20-9
19-8
18-8
18-1
4-7
461
43-1
40-3
37-7
353
33-2
31-4
29-7
28-0
26-4
25-0
236
22-3
21-2
20-3
4-8
52-4
48-8
46-8
431
40-2
37-8
35-6
336
31-6
29-8
28-1
266
25-1
238
22-7
4-9
60-6
561
52-3
48-8
45-5
42-6
40-0
37 6
35-4
33-4
31-5
29-8
28-1
266
25-2
5-0
712
651
606
56-5
•52-6
49-1
45'8
431
40-5
38-0
35-6
33-6
31-7
30-0
28-4
6-1
83-0
76-4
70-5
65-4
60-6
563
52-5
193
46-3
43-4
40-4
38-0
35-6
336
31-7
5-2
98-8
89-6
81-9
75-6
70-2
650
60-2
56-2
52-5
48-9
45-5
42-6
39-9
37-4
352
5-3
118-4
105-2
960
876
80-4
74
68 3
634
58-8
54-7
51-0
47-7
44-5
41-5
389
5-4
141-4
124-0
111-2
99-6
91-2
84-0
77-4
71-2
65-7
612
56-9
52-9
49-4
46-2
43-5
5-5
—
—
131-2
117-4
105-2
96-0
87-3
793
72-8
67-8
63-2
58-6
54-8
51-4
48-8
5-6
—
I60-O
142-4
126-4
113-4
102-2
930
84-4
773
71-1
65-6
60-8
57-2
54-7
5-7
—
—
IU9-2
175-8
154-8
134-2
119-6
107-0
97-2
88-4
80-6
74-4
69-4
64-9
61-5
5-8
—
266-0
221-6
192-8
163-6
142-8
1280
114-6
104-0
94-6
86-0
796
74-4
70-2
5-9
—
—
:;78-l
2840
2315
198-2
171-6
151-5
136-2
123-8
112-8
103-4
948
87-5
81-4
6-0
—
—
—
206-3
186-3
167-5
1500
134-2
121-5
111-0
101-8
92-8
6-1
—
—
—
—
—
—
264
232
205
280
160
141
128
116
107
6-2
—
—
—
—
350
297
251
216
188
164
148
132
122
6-3
510
376
308
263
225
196
172
152
138
6-4
889
524
387
313
264
229
200
237
286
177
204
249
161
184
220
6-5
6-6
6-7
—
—
363
305
268
6-8
_.
485
392
333
6-9
— •
1
—
— -
—
—
• —
—
—
—
—
—
747
510
416
7-0
8-8
8-Jf
3-5
3-6
3-7
8'8
3-9
4-0
4-1
4-2
4-s
4-4
4-5
4-6
4-7
4-8
4-9
5-0
5-1
5-2
5-3
5'4
5-5
5-6
5-7
5-8
5-9
6-0
6-1
6-2
6-3
6-4
6-5
6-6
6-7
6-8
6-9
7-0
o-oo
o-oo
o-ou
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
O'OO
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
o-oo
000
o-oo
•570
•557
•551
•550
•551
•554
•557
•557
■556
•550
•542
•534
•524
•512
■501
•490
•477
•462
•450
•438
•422
•706
•685
•672
•663
•660
•659
•662
•668
•674
•680
•684
■687
•688
•688
•6S6
•681
•676
•670
•662
•654
•645
•630
•608
•580
•540
•481
•770
•755
•728
•719
•712
•706
•706
•710
•716
•724
•738
•744
•746
•747
•748
•747
•745
•741
•736
•720
•713
•702
•682
•658
•628
•590
•823
•798
•771
•765
•752
•745
•742
•744
■750
■760
•774
•781
•786
•788
•790
•790
•788
■784
•779
•770
•760
•748
•733
•712
•688
•657
•863
•838
•814
•799
•787
•776
•773
•773
•779
•787
•796
•808
•811
•814
•816
•815
•813
■810
•803
•796
•788
•780
•770
•753
•732
•709
•894
•870
•847
■829
•814
•805
•799
•800
•803
•810
•816
•825
•830
•832
•833
•833
•832
•831
•828
•822
•816
•807
■793
•784
•770
•749
•716
•674
•615
•532
•362
•917
•895
•874
•859
•843
•834
•825
•825
•826
•830
•835
•840
■842
•845
•848
•849
■850
•848
•845
•841
•837
•830
■822
•811
•796
•780
•754
•723
•681
•620
•534
•935
•914
•896
•880
•867
■858
•851
•846
•842
•844
•847
•850
•852
•855
•858
•860
•860
•859
•858
■856
•853
•849
•842
•832
•819
•804
•784
•759
•727
•680
•628
•949
•936
•919
•900
•886
•878
•871
•863
•858
•857
•857
•858
•860
•863
•865
•867
•867
•867
•866
•866
•865
•862
•857
•848
•837
•824
•808
•788
•761
•728
•687
•960
•948
•934
■919
•905
•893
•883
•876
•871
•868
•867
•867
•868
•870
■872
•873
•874
•874
■874
•875
•873
•871
•867
•860
•851
•841
•828
■812
•791
■766
•731
•968
•959
•948
•935
•920
•908
•898
■889
•883
•878
•875
•874
■875
•876
•878
■879
•880
•881
•882
•882
•881
•880
•877
•871
•863
•853
•842
•830
•815
•795
•767
•976
•969
•960
•948
•936
•924
•913
■902
•893
•887
•883
•882
•882
■882
•883
•884
•886
•887
•888
•889
■888
•887
•884
•878
•872
•865
•856
•846
•834
•818
•798
•768
•730
•679
•608
•496
•983
•977
•968
•957
•945
•933
•921
•911
•901
•895
•890
•889
•889
•888
•889
•890
•891
•892
•893
•894
•894
•892
•890
•885
•880
•874
•868
•860
•849
•835
•822
■799
•76S
•729
•686
•601
•989
•983
•975
■965
•954
•941
•930
•920
•910
•903
•898
•897
•896
•895
•895
•895
•896
•897
•898
•899
•899
•897
•894
•890
•887
•882
•877
•870
•861
•850
•837
•820
•799
•769
•736
■674
•992
•986
•980
•971
•962
•949
■938
•928
•919
•912
•906
•903
•902
•901
•900
•900
•900
•901
■901
•903
•903
•901
•899
•897
•894
•890
•886
•879
•872
•862
•851
•837
•820
•799
•774
•724
Probable Errors of Frequency Constants
TABLE XXXIX.— (continued).
Values of £*,£•
A
73
0-80
0-85
o-oo
0-95
1-00
1-05
1-10
1-15
V20
1-25
ISO
1-85
1-Jfi
V45
ISO
•993
■995
•997
■999
1-000
1-000
1-000
1-000
1-000
1-000
1-000
1-000
l'OOO
1-000
1-000
2-0
•989
•991
•994
•996
•998
•998
•999
•999
•999
1-000
1-000
1-000
1-000
1-000
1-000
2-1
•983
•986
•989
•992
•995
■996
•997
•998
•998
•999
1-000
1-000
1-000
1-000
1-000
2-2
•976
•980
•984
•988
•992
•993
•994
•995
■997
•998
'999
•999
•999
1-000
1-000
2-3
•968
•973
•978
•983
•987
•989
•991
•993
•995
•996
•998
•998
•999
•999
1-000
2- k
•958
•965
■972
•977
•982
•985
•988
•990
•992
•994
•996
•997
•998
•999
1-000
2S
•947
•956
■964
•970
■976
•980
■984
•986
•988
•991
•993
•995
■997
•998
•999
8-6
•937
•947
•957
•963
•968
•973
•977
•980
•983
•986
•989
•992
•995
•997
•998
2-7
•928
■939
•949
•955
•960
•965
•970
•974
•978
•981
•985
•989
•992
•994
•996
2-8
•921
•932
■942
•947
■952
•957
•963
■968
•972
•976
•980
•984
•988
•990
•992
2-0
•915
■923
•931
•937
•943
•948
•954
•960
■966
•971
•975
•979
•983
•986
•988
3-0
•909
•915
•922
•929
•936
•942
•947
•953
•959
•965
•970
•974
•978
■981
•984
3-1
•907
•912
•918
•924
•930
•936
•941
•946
•952
•958
•963
•968
•973
•977
•980
3-2
•906
•909
•914
•919
•925
■930
•935
•940
'946
•951
•956
•961
•966
•971
•975
3-3
•905
•908
•912
•916
•920
■925
•930
•935
•940
•945
•950
•954
•958
■964
•974
3-4
•904
•907
•910
•914
•918
•922
•926
•931
•936
•940
•944
•948
•952
•958
•965
3-5
•904
•907
•910
•914
•918
•921
•924
•928
•932
•935
•938
•942
•946
•952
•959
3-6
•905
•907
•910
■914
•917
•920
•923
•927
•930
•933
•935
•937
•940
•946
•953
3-7
•905
•908
•911
■914
•917
•920
•922
•925
•928
•930
•932
•934
•938
•941
•948
3-8
•906
■909
•911
•914
•917
•919
•921
•924
■927
•929
•931
•933
•935
•939
•944
3-9
•906
•909
■912
•914
•917
•919
•921
•923
•926
•928
•930
•932
■934
•936
•940
4-0
•905
•908
■911
■914
•917
•919
•921
•923
•925
•927
•930
•931
•932
•933
•934
4-1
•905
•907
•910
•913
•916
•919
•921
•923
•924
•926
•929
•929
•930
•930
•929
4-2
•903
■906
•910
•913
•916
•918
•920
•922
■924
•926
•929
•928
■928
•927
•924
4-S
•900
■904
•908
•912
•916
•918
■920
•922
•923
•926
•928
•927
•927
•925
•922
4-4
•897
•902
•906
•910
•915
•918
•920
•922
•923
•926
•928
•927
•926
•923
•920
4-5
•893
•898
•903
■908
•913
•916
•919
•920
•922
•925
•927
•926
•925
•923
•920
4-6
■887
•894
•900
•905
•910
•913
•917
•919
•921
•924
•926
•925
■925
•923
•922
4-7
•881
•890
■896
•901
•906
•910
•914
•917
•920
•923
•925
•926
•926
•925
•925
4-8
•874
•884
•890
■895
•901
•907
•911
•915
•919
•922
•925
•926
•927
927
•928
4-9
•863
•875
•883
■889
•896
•903
•908
•913
•918
•922
•925
■927
•928
■930
•932
5-0
•851
•864
•875
•882
•890
•898
•905
•911
•917
•922
•925
•928
•931
•933
•936
5-1
•837
•852
•866
■875
■884
■892
•901
•909
•916
•921
•924
•928
•933
•937
•941
5-2
•820
•839
•853
•865
•876
•885
•895
•904
■913
•918
•923
929
•935
•940
•945
5-3
•798
•818
•837
•853
•867
•877
■888
•898
•908
'915
•92]
•928
•935
■941
•947
5-4
•764
■792
•817
•837
•854
•867
■880
•890
•900
•910
•918
•925
•933
•940
•947
5-5
—
—
•789
•815
•835
•852
•868
•880
•890
•904
•911
917
•926
■935
•944
5-6
—
—
•750
•786
•811
•835
•854
•869
•880
•892
•901
•909
•917
•927
•938
5-7
—
—
•701
•748
•783
•811
•835
•852
•866
•879
•890
•897
•905
•915
•928
5-8
—
—
•640
•700
•748
•781
■810
•828
•846
•861
•875
•883
•892
■901
•913
5-9
—
—
•544
•639
•703
•746
•778
•802
•825
•842
•857
•867
■879
•886
•893
6-0
_
—
—
—
—
—
•741
•769
•796
•820
•837
•852
•866
•872
•873
6-1
—
—
—
—
—
—
•691
•727
•762
•792
•815
•836
•852
•858
•856
6-3
—
—
—
—
—
•628
■678
•724
•761
•790
•818
•838
■845
•842
6-8
—
—
—
—
—
—
■526
•606
•675
•724
•763
•793
•818
•831
•834
6-4
. —
—
—
—
—
■354
•526
•619
•680
•726
•761
•791
•814
■831
6S
■761
•721
•670
■600
•790
•760
•727
•683
•832
•837
■845
•857
6-6
6-7
6-8
6-9
—
—
—
—
—
—
—
—
—
—
—■"
•468
•602
•876
7-0
ft
B.
10
74
Tables for Statisticians and Biometriciaus
TABLE XL. To find the Probable Error of the distance from Mean to Mode.
Values of ~ d .
J a
ft.
o-oo
0-05
0-10
0-15
0-20
0-25
0-30
0-35
0-40
0-45
0-50
0-55
0-60
0-65
0-70
0-75
0-80
2-0
3-54
_
._
3-03
2-44
2-10
1-80
1-58
1-42
1-30
2-1
2-15
4-36
—
—
—
—
—
—
—
—
—
3-10
2-53
2-16
1-88
2-2
1-87
2-75
9-65
—
—
—
—
—
—
—
—
—
—
3-91
3-17
2-60
M
1-64
1-86
3-00
3-78
2-4
1-46
1-58
2-07
2-5
1-35
1-46
1-67
2-08
2-87
4-04
5-21
2-6
1-28
1-37
1-58
1-98
2-60
3-42
4-43
6-72
—
—
—
—
—
—
—
—
—
2-7
1-25
1-30
1-50
1-83
2-34
2-98
3-75
5-06
7-48
—
—
—
—
—
—
—
—
2-8
1-23
1-28
1-43
1-71
2-11
2-60
3-17
4-12
5-28 7-45
29
1-22
1-27
1-38
1-60
T90
2-27
2-69
3-20
3-84
4-78
6-65
—
—
—
—
—
—
8-0
1-23
1-26
1-34
1-51
1-73
1-98
2-29
2-63
3-06
3-58
4-28
5-18
6-43
8-24
10-89
—
—
8-1
1-25
1-27
1-32
1-44
1-58
1-76
2-00
2-23
2-54
2-94
3-42
3-93
4-52
5-50
6-76
8-66
—
8-2
1-27
1-28
1-30
1-38
1-48
1-60
1-75
1-92
2-13
2-37
2-72
312
3-04
4-21
6-07
6-22
8-00
8.3
1-29
1-29
1-28
1-32
1-39
1-47
1-55
1-68
1-83
2-03
2-27
2-57
2-90
3-39
4-04
4-66
5-53
84
1-30
1-29
1-28
1-29
1-31
1-37
1-45
1-54
1-63
1-79
2-00
2-24
2-51
2-88
3-36
3-86
4-50
8*
1-31
1-30
1-29
1-27
1-25
1-30
1-37
1-45
1-54
1-66
1-83
2-03
2-26
2-55
2-89
3-18
3-61
3-6
1-32
1-31
1-30
1-26
1-22
1-26
1-32
1-40
1-50
1-61
1-74
1-89
2-08
2-31
2-56
2-86
3-24
3-7
1-31
1-31
1-31
1-26
1-22
1-25
1-30
1-37
1-46
1-57
1-69
1-82
1-97
2-14
2-34
2-62
2-95
3-8
1-30
1-31
1-32
1-28
1-25
1-27
1-32
1-38
1-46
1-55
1-65
1-76
1-88
2-03
2-20
2-43
2-69
3-9
1-29
1-33
1-35
1-33
1-30
1-32
1-36
1-41
1-48
1-56
1-64
1-73
1-84
1-96
2-11
2-27
2-49
4-0
1-27
1-37
1-40
1-39
1-39
1-40
1-42
1-46
I'M
1-58
1-65
1-73
1-83
1-94
2-Ofi
2-19
2-36
4-1
—
—
1-47
1-48
1-50
1-51
1-53
1-55
1-57
1-61
1-66
1-75
1-85
1-94
2-03
2-13
2-26
4-2
—
—
1-58
1-62
1-64
1-65
1-65
1-65
1-65
1-66
1-70
1-77
1-85
1-94
2-03
2-12
2-22
4-3
—
—
1-75
1-77
1-78
1-79
1-78
1-76
1-75
1-75
1-78
1-83
1-90
1-97
2-05
2-13
2-23
4'4
—
—
1-98
1-97
1-95
1-94
1-93
1-90
1-88
1-89
1-92
1-96
2-01
2-07
2-13
2-20
2-29
4-5
—
—
2-27
2-20
2-15
2-11
2-10
2-09
2-09
2-10
2-12
2-15
2-18
2-22
2-26
2-32
2-38
4-6
—
—
—
—
—
—
2-44
2-40
2-38
2-36
234
2-36
2-38
2-40
2-42
2-45
2-48
4-7
—
—
—
—
—
—
2-93
2-85
2-78
2-71
2-67
2-65
2-64
2-63
2-62
2-61
2-61
4-8
—
—
—
—
—
—
3-74
3-52
3-33
3-16
3-07
3-00
2-95
2-90
2-85
2-81
2-80
4-9
■ —
—
—
—
—
—
5-44
4-64
4-16
3-87
3-63
3-45
332
3-24
3-11
3-05
3-03
50
—
—
—
—
—
—
10-66
6-83
5-53
4-84
4-37
4-04
3-79
3-62
3-47
3-37
3-31
51
—
—
—
—
—
—
—
—
—
—
—
4-46
4-21
3-99
3-85
3-74
5-2
—
—
—
—
—
—
—
—
—
—
5-38
5-05
4-73
4-47
4-24
5-3
—
—
—
—
—
—
—
—
—
— .
6-84
6-19
5-66
5-27
4-92
5-4
—
—
—
—
—
—
—
—
—
—
—
9-24
7-96
7-00
6-24
5-74
5-5
—
—
—
—
—
—
—
—
—
—
—
14-81
10 89
8-87
7-64
6-81
5-6
—
5-7
5-8
5-9
6-0
6-1
6-2
—
6-3
—
6-4
65
6-6
—
6-7
—
6-8
6-9
7-0
Probable Errors of Frequency Constants
75
TABLE XL— (continued).
Jn
Values of -
T 2 -
0-85
0-90
0-95
1-00
1-05
1-10
1-15
ISO
V25
ISO
1S5
1-40
1-46
ISO
1-20
1-13
1-07
1-02
•97
•92
■87
•83
•80
•76
•72
•68
•64
•60
2-0
1-64
1-49
1-38
1-29
1-21
1-14
1-08
103
•99
•94
•90
•86
•82
•78
2-1
2-22
1-97
1-80
1-66
1-54
1-45
1-38
1-32
1-26
1-20
1-14
1-08
1-02
•96
2-2
3-10
2-63
2-46
2-15
1-98
1-85
1-75
1-67
1-58
1-50
1-41
1-32
1-24
1-16
2S
—
3-72
3-20
2-81
2-56
2-36
2-22
2-09
1-96
1-84
1-73
1-62
1-51
1-39
2-4
—
—
—
3-94
3-40
3-08
2-87
2-66
2-47
2-29
2-12
1-96
1-80
1-64
2-5
—
—
—
—
—
4-32
3-82
3-48
314
2-86
2-60
2-34
2-10
1-91
2-0
—
—
—
—
—
—
4-82
4-20
3-66
3-18
2-78
2-46
2-19
2*7
5-73
4-82
6-63
3-88
4-81
6-15
3-28
3-94
4-80
2-87
3-31
3-79
4-29
2-49
2-80
3-12
3-48
2-8
2-9
3-0
3-1
—
—
3-88
3-2
6-80
3-3
5-38
6-55
s-4
4-21
4-95
6-00
7-33
9-30
12-16
—
—
3S
3 74
4-34
5'12
6-03
7-17
8-80
11-52
—
—
3-6
3-34
3-80
4-32
5-01
5-78
6-65
8-28
11-12
—
—
—
3-7
3-00
3-35
3*74
4*23
4-72
5-41
6-36
8-00
10-22
3-8
2-74
3-00
3-32
3-6G
4-04
4-50
5-18
616
7-43
9-32
—
—
—
—
3-9
2-55
2-77
3-02
3-29
3-60
3-98
4-50
5-12
5-92
691
8-00
9-23
11-08
— ■
4-0
2-42
2-60
2-79
3-00
3-27
3-61
4-06
4-61
5-20
5-90
6-80
7-86
9-48
11-58
4-1
2-35
2-50
2-67
2-86
3-09
3-38
3-71
413
4-60
5-15
5-86
6-72
7-76
9-10
4-2
2-35
2-48
2-G2
2-77
2-96
3-21
3-49
3-82
4-18
4-59
5-14
5-82
6 66
7-59
4-s
2-39
2-50
2-61
2-73
2-89
3-10
3-32
3-55
3-83
4-16
4-60
5-16
5-82
6-60
4'4
2 '45
2-53
2-63
2-74
2-87
3-02
3-20
3-39
3-61
3-87
4-21
4-66
5-18
5-86
4S
2-52
2-60
2-69
2-79
2-89
3-01
3-15
331
3-48
3-67
3-95
4-31
4-77
5-36
4-0
2-64
2-69
2-77
2-85
2-93
3-02
313
3-25
3 39
3-55
3 78
4-10
4-50
4-99
4-7
2-81
2-82
2-86
2-93
3-00
3-08
3-17
3-27
3-38
3-50
3-68
3-94
4-26
4-66
4'8
3-02
3 03
3-04
3-08
3'12
3-16
3-22
3-30
3-39
3-50
3-63
3-81
4-07
4-35
4'9
3-28
3-2G
3-25
3-26
3-28
3-31
3 34
3-39
3-44
3-51
3-61
3-73
3-90
4-09
5'0
3-64
3-55
3-51
3-49
3-47
3-47
3-48
3-49
3-52
3-56
3-61
3-68
3-77
3-90
5-1
4-04
3-90
3-81
3-74
3-68
3-65
3-63
3-62
361
3-62
3-63
3-65
3-69
3-76
5-2
4-60
4-35
4-18
4-05
3-95
3-88
3-81
3-75
3-72
3-70
3-69
3-68
3-69
3-70
5-3
5-33
4-98
4-71
4'52
4-37
4-24
4-12
4-01
3-92
3-85
3-79
3-75
3-73
3-72
5'4
6-21
5-74
5-36
5-08
4-86
4-66
4-48
4-32
4-20
4-09
3-99
3-92
3-87
3-82
5-6
—
6-69
6-27
5-83
5-49
5-19
4-94
4-73
4-56
4-42
4-30
4-18
4-11
4-04
5-6
—
8-11
7-48
6-82
6-32
5-90
5-55
5-27
5-03
4-84
4-68
4-54
4-43
4-35
5'7
—
10-18
9-11
8-12
7-45
6-85
6-35
5-95
5-62
5-37
5-16
5-00
4-87
4-76
5S
—
13-53
11-44
9-84
8-71
7-94
7-32
6-82
6-45
613
5-85
5-61
5-43
5-29
5-9
—
19-95
14*26
11-92
10-48
9-38
8-55
7-89
7-38
6-95
6-62
6 33
6-10
5-90
6-0
—
—
—
—
—
11-64
10-26
9-31
8-62
8-03
7-53
7-15
6-87
6-60
0-1
14-83
12-55
11-19
10-24
9-40
8-64
8-08
7-68
7-36
6-2
19-65
15-85
13-69
1221
11-01
10-02
9-19
8-65
8-22
6S
—
—
—
—
—
28-03
20-85
17-09
14-56
12-84
11-45
10-45
9-69
9-11
o-4
47-99
28-04
21-30
17-44
15-07
13-20
11-90
14-2
17-2
21-8
29-4
43
10-83
12-9
15-6
19-6
26-0
37-8
10-07
12-4
14-7
18-3
24-1
34-9
OS
6-7
6S
6-9
7-0
ft
10—2
76
Tables for Statisticians and Biometriciam
ft
TABLE XLI. To find the Probable Error of the Bkeivness sk.
Values of ViV2 S j6.
o-oo
0-05
o-io
0-15
0-20
0-25
0-80
0-85
0-40
0-46
0-50
6-55
0-60
0-65
0-70
0-75
2-0
3-54
_
_
_
3-41
2-80
2-43
2-12
1-89
1-72
2-1
2-16
4-20
—
—
—
—
—
—
—
—
—
—
3-67
3-02
2-58
2-2
1-87
2-63
9-50
5-57
4-10
2-8
1-64
1-78
2-88
—
—
—
—
—
—
—
—
—
—
—
—
2 '4
1-46
1-49
2-02
—
—
—
—
—
—
—
—
—
, —
—
2-5
1-35
1-41
1-62
2-02
2-80
4-06
5-08
—
—
—
—
—
2-6
1-28
1-30
1-43
1-75
2-18
2-82
3-65
4-90
—
—
—
—
, |
—
2-7
1-25
1-25
1-31
1-52
1-84
2-29
2-85
3-08
4-84
2-8
1-23
1-22
1-24
1-36
1-59
1-89
2-21
2-70
3 -30
4-36
2-9
1-22
1-20
1-20
1-28
1-43
1G3
1-86
2-19
2-60
3-33
4-30
—
—
—
s-o
1-23
1-21
1-20
1-25
1-34
1-48
1-62
1-84
2-12
2-49
3-00
3-7G
4-62
6-02
8-12
—
8-1
1-25
1-22
1-21
1-23
1-27
1-36
1-50
1-67
1-88
2-16
2-50
3-06
376
4-72
6-10
8-08
8-2
1-27
1-23
1-22
1-22
1-23
1-29
1-40
1-53
1-70
1-90
2-17
2-58
3-17
3-97
4-87
5-83
8-3
1-29
1-25
1-23
1-21
1-21
1-24
1-33
1-44
1-58
1-74
1-94
2'27
2-73
3-28
3-88
4-53
8-4
1-30
1-27
1-24
1-21
1-20
1-23
1-29
1-38
1-49
1-61
1-78
2-04
2-36
2-75
3-18
3-63
8-5
1-31
1-29
1-25
1-21
1-20
1-22
1-28
1-35
1-43
1-54
1-68
1-87
2-09
2-37
2-68
2-98
S-6
1-32
1-30
1-26
1-22
1-20
1-22
1-26
1-32
1-40
1-50
1-61
1-75
1-91
2-13
2-39
2-65
8-7
1-31
1-31
1-28
1-24
1-20
1-23
1-27
1-32
1-39
1-47
1-56
1-67
1-80
1-98
2-19
2-40
8-8
1-30
1-32
1-30
1-27
1-23
1-25
1-28
1-33
1-38
1-46
1-54
1-63
1-75
1-88
2-04
2-22
3-9
1-28
1-34
1-33
1-30
1-28
1-28
1-30
1-34
1-39
1-45
1-53
1-61
1-71
1-82
1-96
2-12
4-0
1-27
1-36
1-38
1-36
1-35
1-35
1-36
1-39
1-43
1-48
1-56
1-63
1-72
1-81
1-92
2-04
4-1
—
—
1-46
1-45
1-45
1-44
1-44
1-46
1-50
1-54
1-60
1-67
1-74
1-82
1-91
2-03
4-2
—
—
1-58
1-57
1-57
1-56
1-55
1-56
1-59
1-62
1-67
1-72
1-78
1-85
1-93
2-02
4-8
—
—
1-75
1-74
1-73
1-71
1-70
1-69
1-70
1-72
1-76
1-81
1-86
1-92
1-98
2-06
4'4
—
—
1-95
1-94
1-92
1-90
1-88
1-85
1-86
1-87
1-90
1-93
1-97
2-01
2-06
2-12
4-5
—
—
2-26
2-19
2-13
2-09
2-07
2-06
2-05
2-06
2-07
2-08
2-11
2-15
2-19
2-23
4-o
—
—
—
—
—
—
2-48
2-42
2-37
2-35
2-33
2-31
2-31
2-32
2-33
2-35
4-7
—
—
—
—
—
—
3-11
2-93
2-82
2-73
2-65
2-60
2-57
2-54
2-52
2-50
4-8
—
—
—
—
—
—
3-78
3-53
3-35
3-21
3-08
2-97
2-89
2-82
2-7G
2-71
4-9
—
—
—
—
—
—
5-48
4-66
4-17
3-87
3G3
3-44
3-30
3-17
3-07
3 01
5-0
—
—
—
—
—
—
11-12
6-96
5-52
4-82
4-36
4-02
3 77
3-58
3-45
3-37
5-1
—
—
—
—
—
—
—
—
—
—
—
—
4-45
4-16
4-00
3-87
5-2
—
—
—
—
—
—
—
—
—
—
—
—
6-38
5-02
4-72
4-49
5-3
—
—
—
—
—
—
—
—
—
—
—
—
6-84
6-18
5-G6
5-26
5-4
—
—
—
—
—
—
—
—
—
—
—
—
9-24
7-76
6-80
6-22
5-5
—
—
—
—
—
—
—
—
—
—
—
—
14-80
10-67
8-87
7-71
5-6
5-7
5-8
5-9
6-0
6-1
6-2
6-8
6-4
6-5
G-G
6-7
6-8
6-9
7-0
Probable Errors of Frequency Constants
77
TABLE XLI— {continued).
Values of "JN2 sk .
ft
0-80
0-85
0-90
0-95
1-00
1-05
1-10
1-15
1-20
V25
ISO
1S5
VJfi
1-46
VBO
1-59
1-48
1-39
1-30
1-24
1-19
1-14
1-10
1-06
1-02
•99
•95
•91
•87
•83
2-0
2-20
1-95
1-80
1-68
1-58
1-52
1-47
1-42
1-37
1-32
1-26
1-20
1-15
1-10
1-05
2-1
3-22
2-65
2-29
2-08
1-98
1-91
1-84
1-78
1-72
1-66
1-59
1-52
1-45
1-38
1-31
2-2
5-23
3-80
3-04
2-75
2-53
2-40
2-30
2-21
2-12
2-03
1-94
1-85
1-76
1-67
1-58
2-3
—
—
4-29
3-64
331
3-12
2-94
2-78
2-63
2-49
2-36
2-23
2-10
1-98
1-86
2-4
—
—
—
—
4-77
4-27
3-84
3-55
3-29
3-06
2-85
2-66
2-49
2-32
2-15
2-5
—
—
—
—
—
—
5-72
5-00
4-39
3-94
3-54
3-20
2-93
2-67
2-44
2-0
6-25
5-20
7-05
4-46
5-68
7-45
3-88
4-78
6-00
7-80
3-42
4-03
4-85
6-05
3-08
3-54
4-11
4-77
5-57
2-74
3-05
3-37
3-70
4-10
2-7
2-8
2-9
3'U
8-1
7-00
4-58
8-2
5-30
8-3
4-16
4-71
5-60
3-4
3-38
3-89
4-59
5-58
6-85
8-38
11-48
—
—
—
—
—
—
—
—
8-5
2-95
3-38
3-99
4-G6
5-50
6-48
7-55
9-92
—
8-6
2-67
3 05
3-49
3-97
4-52
5-22
6-00
7-36
9-42
—
—
—
—
—
—
3-7
2-44
2-75
3 08
3 43
3-80
4 25
4-78
6-64
7-08
9-02
—
—
—
—
—
3-8
2-29
2-53
2-79
3-07
3-38
3-70
4-15
4-77
5-62
6-89
8-76
—
—
—
—
3-J
2-20
2-38
2-58
2-82
3-0G
3-33
3-69
4-14
4-77
5-50
6-42
7-40
8-57
10-12
—
4-0
2-16
2-31
2-47
2-65
2-85
3 09
3-34
3-72
4-15
4-61
5-14
5-84
6-80
8-44
11-00
4-1
2-14
2-26
2-40
2-55
2-71
2-88
3-10
3-37
3-67
4-03
4-44
5-04
5-94
7-12
8-67
4-2
2-16
2-27
2-38
2-50
2-65
2-80
2-96
3-14
3-37
3-65
4-01
4-55
5-28
6-18
7-21
4'8
2-20
2-30
2-41
2-52
2-64
2-76
2-89
3-04
3-23
3-48
3-78
4-22
4-78
5-44
6-26
4'4
2-29
2-35
2-44
2-53
2-63
2-75
2-88
3-02
3-20
3-40
3 65
3 97
4-40
4-91
5-56
4-5
2-39
2-43
2-48
2-56
2-66
2-77
2-89
3 01
316
3-34
3-55
3-79
4-16
4-55
5-10
4-0
2-52
2-54
2-58
2 63
2-71
2-80
2-90
3-01
3-14
3-29
3-47
3-67
3-96
4-28
4-72
4-7
2-70
2-72
2-74
2-78
2-83
2-89
2-97
3-06
3-16
3-28
3-41
3-58
3-80
4-06
4-42
4-8
2-98
2-97
2-96
2-97
3-00
3-04
3-08
314
3-21
3-30
3-40
3-53
3-68
3-88
4-16
4-9
3-31
3-25
3-21
3-20
3-21
3'22
3-24
3-26
3-31
3-36
3-43
3-51
3-60
3-73
3-96
5-0
3-75
3-64
3-55
3-49
3 45
3-42
341
3-41
3-43
3-44
3-46
351
3-57
3-65
3-78
5-1
4-28
4-10
3-96
3-85
3-76
3-68
3-63
3-60
3-57
' 355
3-53
3-53
3 55
3-60
3-67
5-2
4-93
4-69
4-48
4-29
4-13
4-02
3-92
3-84
3-76
3-08
3-63
3-60
3-58
3-59
3-62
5-3
5-78
5-42
5-09
4-80
4-56
4*40
4-26
4-13
4-00
3-89
3-80
373
3-68
3-65
3-63
5-4
6-94
6-32
5-82
5-40
5-07
4-84
4-64
4-46
4-30
4-17
4-06
3-95
3-87
3-80
3-75
5-5
—
—
6-75
6-22
5-79
5-46
5-19
4-97
4-77
4-60
4-44
4-30
4-19
4-10
4-01
5-6
—
—
8-15
7-30
6-73
6-26
5-91
5-61
5-34
5-10
4-90
4-73
4-59
4-47
4-38
5-7
—
—
10-20
8-76
7-98
7-26
6-76
6-34
5-99
5-68
5-44
5-24
5-06
4-91
4-78
5-8
—
—
13-53
10-83
9-66
8-71
7-90
7-28
6-78
6-40
6-10
5-84
5-62
6-44
5-28
5-9
—
—
19 96
14-30
12-02
10-51
9-39
8-56
7-90
7-39
6-96
6-61
6-33
610
5-89
6-0
—
—
—
—
—
11-64
10-26
9-31
8-56
8-03
7-53
7-15
6-82
6-54
6-1
—
—
—
—
—
—
14-83
12-55
11-19
1013
9 30
8-64
8-08
7-63
7-24
G-2
—
—
—
—
—
—
19-65
15-85
13-69
12-21
11-01
10-02
9-19
8-55
8-01
6-3
28-03
20-85
17-09
14-56
12-84
11-45
10-45
9-60
8-92
6-4
47-99
28-04
21-30
17-44
15-07
13-20
11-90
14-2
17-2
21-8
29-4
43-0
10-83
12-9
15-6
19-6
26-0
37-8
10-07
12-4
14-7
18-3
24-1
34-9
0-5
6-0
6-7
0-8
6-9
7-0
&
78
Tables for Statisticians and Biometricians
A
TABLE XLII. To give values of /3 3 , /3 4 , /3 6 and /3, in terms
TABLE XLII (a).
Values of /3 3 .
A
2-0
2S
8-0
SS
4-0
J,S
6-0
BS
6-0
6S
7-0
o-o
0-1
0-48493
0-68971
0-94286
1-25688
1-64906
2-14375
0-2
0-91585
1 -32958
1-78182
2-37049
3-10000
4-01176
OS
1-29873
1-85270
2-53043
3-36094
4-38305
5-65000
7-2368
O-Jf
1-63902
2-34286
3-20000
4-24478
5-52277
7-09474
9-0462
OS
1-94118
2-78126
3-80000
5-03582
6-53846
8-37500
10-6364
OS
2-20909
3-17350
4-33846
5-80178
7-44706
9-51429
12-0414
15-1585
0-7
2-44615
3-52441
4-82222
6-38287
8-26202
10-53182
13-2885
16-6624
0-8
2-65532
3-83820
5-25714
6-95698
8-99462
11-44375
14-4000
17-9932
0-9
2-83917
4-12064
5-64828
7-47438
9-65454
12-26250
15-3940
19-1758
23-7791
VO
3-00000
4-36842
6-00000
7-94121
10-24999
13-00000
16-2857
20-2308
25-0000
1-1
3-13980
4-59081
6-31613
8-36246
10-78796
13-66538
17-0877
21-1750
26-0857
32-0328
V2
3-26038
4-78812
6-60000
8-74286
11-27443
14-26667
17-8105
22-0225
27-0546
33-1082
IS
3-36330
4-96250
6-85454
9-08619
11-71461
14-81071
18-4633
22-7851
27-9217
34-0635
1-4
3-45000
5-11589
7-08235
9-39582
12-11304
15-30345
190536
23-4727
28-7000
34-9164
42-3013
IS
3-52174
5-25000
7-28571
9-67501
12-47368
15-75000
19-5864
24-0937
29-4000
35-6786
43-1538
A
TABLE XLII (b).
Values of /3 4 .
ft
2S
2S
8-0
SS
4-0
4S
6-0
5S
G-0
6S
7-0
o-o
5-00000
8-92856
15-0000
23-7288
31-0000
0-1
5-27356
9-41054
15-7973
25-7430
41-7660
69-3682
0-2
5-44361
9-75086
16-2648
26-4018
42-5000
69-4796
OS
5-53293
9-86224
16-4907
26-6520
42-5613
68-5776
114-4732
0-4
5-55998
9-91072
16-5385
26-6144
42-1807
67-0888
109-4534
OS
5-53802
9-87751
16-4545
26-3742
41-5076
65-2679
104-4652
OS
5-47791
9-81734
16-2732
26-1077
40-6453
63-2707
99-6442
162-125
0-7
5-38824
9-63895
16-0200
25-5026
39-6623
61-1940
95-0525
151-253
OS
5-27513
9-45991
15-7143
24-9478
38-6061
59-1016
90-7143
141 -707
OS
5-14437
9-25645
15-3706
24-3462
87*6090
57-0279
86-6331
133-240
210-995
1-0
5-00000
9-02746
15-0000
23-7495
36-3971
55-0000
82-8022
125-664
195-000
VI
4-84537
8-78075
14-6111 i 23-0744
35-2835
53-0316
79-2091
118-839
181-299
286-374
1-2
4-68319
8-53522
14-2105 22-4107
34-1811
51-1309
75-8392
112-653
169-394
261-436
1-8
4-51562
8-27700
13-8032
21-7535
33-0971
49-3447
72-6772
107-016
158-930
240-845
I'A
4-34440
8-01454
13-3931
21-1002
32-0367
47-5471
69-7076
101-850
149-643
223-304
343-147
IS
4-17097
7-75000
12-9832
20-4546
31-0037
45-9038
66-9117
97112
141333
208-129
313-704
A
Probable Errors of Frequency Constants 79
of fj t and /3 3 on the assumption that the Frequency falls into
one or other of Pearson's Types.
TABLE XLII(c).
Values of /3 5 .
ft
1
2-0
2-5
3-0
3-5
4-0
4S
6-0
6-5
6-0
6S
7-0
0-0
o-i
1-99086
4-39480
9-3207
19-9714
45-9387
128-529
0-2
3-59438
8-03374
16-5960
34-7825
76-6000
193-361
OS
4-86677
10-68765
22-2196
45-7142
97-2263
228-104
668-284
0-4
5-85929
12-85477
26-5187
53-7090
111-0237
246-506
650 398
OS
6-51704
14-51540
29-7545
59-4655
120-0543
255-295
614633
0-6
7-17383
15-7892
32-1362
63-9266
125-6629
258-147
581 -205
1618-635
0-7
7-56616
16-6546
33-8306
66-2045
128-8283
257-225
550-107
1368-373
0-8
7-81963
17-2668
349714
67-8804
130-2010
253-872
521-257
1196-612
0-9
7-95777
17-6667
35-6658
68-7533
130-2587
248-937
495-375
1068-877
2769-42
1-0
8-00000
17-8291
36-0000
69-0644
129-3434
243-000
469-637
968-318
2280-00
VI
7-96281
17-8472
36 0437
68-7730
127-7158
236-441
446-547
886-541
1945-69
5313-80
V2
7-86015
17-7503
35-8535
68-1357
125-5684
229-524
425-062
818-040
1700-98
4135-56
IS
7-70375
17-5396
35-4754
67-2181
123-0362
222-562
405-663
759-486
1512-94
3388-18
1-4
7-50358
17-2423
34-9467
66 0678
120-5142
214-828
386-347
708-620
1363-20
2870-08
7265-31
1-5
7-26808
16-8768
34-2983
64-7210
117-2460
207-227
368-843
663-926
1240-65
2488-62
5719-68
ft
TABLE XLII (d).
Values of /3 6 .
ft
2-0
2-5
3-0
3-5
4-0
4-5
6-0
6 5
6-0
6-5
7-0
o-o
14-0000
39 0649
105-000
290-678
868-015
o-i
16-4616
45-7741
124-835
355-508
1243-832
10228-33
0-2
17-7296
50-2472
132-998
369-894
1190-700
6204-69
OS
18-1764
51-0927
134-215
361-909
1089-739
4485-38
107697-95
0-4
18-0667
50-2458
131-337
344-886
977-506
3471-87
25413-18
0-5
17-5474
48-7896
126-107
323-447
877-884
2792-19
13737-63
0-6
16-8560
46-8558
119-601
303-252
784-431
2303-07
9048-43
119230-33
0-7
15-9787
44-3106
112-492
277-658
701-500
1934-79
6534-78
40994-77
OS
15-0148
41-7081
105-200
255-716
628-450
1648-52
5045-80
22660-09
0-9
14-0113
39-0906
97-984
235-072
564-277
1420-51
4024-45
14836-90
137288-7
VO
13-0000
36-4119
91-000
216-137
507-894
1235-50
3286-65
10612-25
57584-9
VI
12-0030
33-7916
84-339
198-263
456-575
1083-04
2741-39
8135-91
33078-5
797653-2
V2
11-0354
31-3418
78-047
181-987
414-455
955-78
2322-13
6314-06
21891-8
155693-9
IS
10-1070
28-9775
72-146
167-142
375-834
848-97
1994-05
5108-55
15690-2
75009-7
1-4
9-2240
26-7355
66-637
153-582
342-057
765-79
1726-18
4219-50
11846-9
44891-9
565740
V5
8-3899
246268
61-512
141-477
310-976
676-32
1508-92
354482
9281-2
30280-3
180793
80
Tables for Statisticians and Biometricians
TABLE XLIII.
Probable Error of Criterion k„. Values of ViVS,, for valves of ft,, ft,
■00
■05
•10
•15
■20
•25
■30
■35
■40
■45
■50
■55
■60
■65
■70
2-0
•000
•242
•332
•399
•454
•498
•545
•582
■631
•671
■716
•758
•806
•854
■899
2-1
•000
•271
•367
•430
•483
•521
•557
•600
•639
•678
•717
•760
•800
•843
•890
2-2
•000
•310
•415
■480
•527
•565
•597
•626
•656
•691
•728
•767
•809
•845
•890
2S
•000
•355
•477
•550
•596
■635
•660
•678
•700
•725
•753
•790
•826
•858
•895
2- 4
■000
•417
■560
•642
•691
•722
•748
•759
•770
•787
•806
•830
•857
•884
•914
2S
•000
•500
•697
•771
•816
■841
•855
•860
•867
■873
•881
•892
•909
•928
•947
2-6
•000
•660
•840
•946
1-01
103
104
1-02
101
1-00
100
1-00
1-00
1-00
1-00
2-7
•000
1-04
1-30
1-35
1-34
1-33
1-30
1-27
1-24
119
1-15
1-12
1-10
109
1-08
2-8
•000
1-83
1-97
1-98
1-93
1-84
1-74
1-64
1-55
1-47
1-40
1-33
1-27
1-23
1-20
2-9
•000
351
3-71
3-42
3-00
2-66
2-42
2-22
2-05
1-89
1-73
1-61
1-51
1-45
1-39
3-0
—
18-8
9-89
694
5 30
4-30
3-62
3-10
273
243
2-18
2O0
1-84
1-71
1-61
3-1
•ooo
62-0
20-5
8-47
6-36
5-22
4-42
378
334
296
2-66
2-41
2-20
201
3-2
•ooo
7-82
91-7
49-7
20-2
12-2
8-48
644
5 09
4-28
3-71
321
2-86
2-58
3-3
•ooo
2-99
11-7
70-2
142
32 4
15-4
108
8-56
6-88
562
466
3-98
346
3-4
3-5
•ooo
1-82
4-80
13-8
55-5
—
344
182
28-9
16-8
11-8
8-69
6-88
5 60
476
•ooo
1-43
2 '89
6-43
15-8
50-6
380
—
127
465
25-1
16-1
11-5
855
691
3-6
•ooo
117
2-18
4-08
8-00
17-2
46-5
215
—
277
76-4
354
224
158
11-5
3-7
•ooo
1-04
1-79
3-08
5-18
9 36
24 '6
44-3
155
—
767
133
546
28-5
19-2
3-8
•ooo
•979
1-54
2-54
4-09
6 33
14-3
26-2
44-0
126
855
—
230
80-0
40-8
3-9
•ooo
•920
1-41
2-20
332
4-91
8-84
131
20-5
382
105
448
—
—
125
4-0
4-1
iy2
•ooo
•869
1-35
2-00
2-83
4-OS
5-98
9-08
137
223
41-4
98-0
296
—
—
1-30
1-94
2-60
3-61
5-08
7-25
10-4
15-8
24-4
40-5
78-7
216
—
1-33
1-94
2-58
3 43
4-54
6-09
8-49
11-8
168
253
394
67-2
169
4-3
*'4
4-5
4-6
4-7
4*
4-9
5-0
5-1
6-2
5-3
5-4
5-6
1-44
2-01
2-63
3 37
4-20
5-41
7-19
9-52
128
178
262
45-2
72-2
1-58
2-15
2-74
3-39
4-20
5-18
6-58
856
109
146
20-2
290
40-4
1-81
2 32
2-94
3-59
4 36
5-29
6-45
776
9-85
12-4
161
211
29-9
4 90
5-63
660
7-84
920
111
136
17-2
242
5-87
646
7-11
7-97
8-96
10-2
12-2
153
200
7-43
7-61
7-94
8-41
916
101
12-0
14-3
175
10-1
9-45
908
936
980
106
120
137
159
IV1
11-3
10-4
10-4
108
11-5
12-4
136
15-4
—
—
—
—
—
—
—
—
—
—
—
135
153
183
22-8
140
155
17-8
20-6
153
160
177
200
_
—
—
—
—
—
—
306
260
233
5-6
—
—
—
5-7
5-8
5-9
o-o
—
—
—
—
—
—
—
- —
—
6-1
6-2
6-3
6-4
6-5
6-6
6-7
6-8
6-9
7-0
—
—
—
1
Probable Errors of Frequency Constants 81
TABLE XLIII— (continued).
Probable Error of Criterion k 2 . Values of ViV2„, for values of #,, /?,.
A
•75
■so
■8S
■00
■95
1-00
1-05
1-10
1-15
1-20
1-25
ISO
1SS
VJfi
VJfi
ISO
•949
1-00
1-06
1-12
1-18
1-25
1-31
1-39
1-46
1-56
1-64
1-75
1-86
1-97
211
2'25
$-0
•937
•992
1-05
1-10
1-16
1-22
1-28
1-35
1-42
1-49
1-58
1-67
1-77
1-88
2-00
2-12
2-1
■936
■987
1-04
1-09
114
1-19
1-25
1-31
1-37
1-43
1-51
1-59
1-69
1-79
1-89
1-99
2-2
•939
•982
1-04
1-08
112
1-17
1-22
1-27
1-32
1-38
1-45
1-53
1-62
1-70
1-79
1-87
2-3
•950
•990
1-03
1-07
I'll
1-15
119
1-24
1-29
1-34
1-40
1-47
1-55
1-62
1-69
1-77
2-4
•972
•998
1-03
107
1-10
1-14
1-18
1-22
1-27
1-32
1-37
1-43
1-49
1-55
1-61
1-68
2-5
1-01
103
1-06
1-09
1-12
1-15
1-18
1-21
1-26
1-31
1-36
1-41
1-46
1-51
1-57
1-63
2-6
1-07
1-08
1 -09
111
1-14
1-17
1-19
1-21
1-25
1-30
1-35
1-39
1-43
1-48
1-53
1-59
2-7
117
1-15
1-16
1-17
1-18
1-19
1-21
1-23
1-27
1-31
1-35
1-39
1-43
1-47
1-52
1-58
2-8
1-33
1-28
1-26
1-26
1-25
1-25
1-25
1-27
1-29
1-32
1-35
1-39
1-43
1-47
1-52
1-57
2-9
1-53
1-47
1-42
1\38
1-36
1-34
1-34
1-34
1-35
1-36
1-38
1-40
1-43
1-46
1-51
1-56
s-o
1-85
1-72
1-62
1-56
1-52
1-49
1-46
1-44
1-43
1-43
1-43
1-44
1-45
1-47
1-51
1-57
3-1
2-34
213
1-96
1-83
1-75
1'68
1-62
1-57
1-54
1-52
1-51
1-50
1-50
1-51
1-54
1-58
S-2
303
2 69
2-44
2-23
2-06
1-94
1-85
1-77
1-72
1-67
1-63
1-60
1-59
1-58
1-59
1-61
3-3
4-08
350
3-06
2-74
2-49
2-29
2-14
2-02
1-92
1-84
1-78
1-73
1-70
1-68
1-68
1-69
S-Jf
572
475
4-12
3-56
3-15
2-83
2-59
2-38
2-22
2-09
1-99
1-91
1-85
1-81
1-79
1-79
3-5
8-85
6-90
5-71
4-79
4-15
3-68
3-22
2-90
2-67
2-49
2-31
2-20
2-09
2-00
1-96
1-92
3-6
14-2
104
8'22
6 69
5-70
4-81
4-17
3-67
3-31
3 05
2-81
2-62
2-45
2-29
2-19
2-10
3-7
249
181
138
10-1
8-16
6-71
5-76
4-92
4-28
3-84
3-48
3-16
291
2-68
2-50
2 36
8-8
05 5
365
21-7
15-8
12-2
10-0
8-17
675
5-75
5-00
4 43
3 93
352
3-18
2-91
2-72
3-9
242
8G-6
48-5
30
20-9
15-4
12-0
961
7-86
660
5-67
4-90
4-34
3-88
3-47
319
4-0
—
374
127
62-9
38 3
26-0
18-3
14-4
11-5
9-15
7-53
6-45
5 66
4-98
4-38
3-80
4-1
—
—
—
200
91-0
516
327
23 4
17-4
13-4
10-6
8-70
7-50
6-48
5-52
4-61
4-2
144
478
—
—
314
112
70
42-9
29-1
21-3
16-1
12-7
10-3
8-55
7-24
6-25
4-3
62-8
135
._
—
—
580
192
93-9
55-8
37 1
26-5
19-8
15-4
121
9-74
8-26
4-4
42-8
68-3
119
280
—
—
—
286
126
72-8
46-4
322
23-9
18-3
146
11-8
4-5
32 3
44-7
62-7
99-6
240
742
—
—
—
181
91-0
58-9
41-0
30-0
22 3
16'9
4'6
26-2
33 8
46-1
68-0
105
240
632
—
—
—
260
128
76-7
50-4
30-0
26-6
4-7
21-6
27-1
35-0
47-3
66 8
104
182
413
—
—
—
403
172
99-3
63-0
44-8
4-8
18-9
226
269
33-7
44-0
61-5
84-2
115
337
—
—
—
—
249
140
80-8
4-9
17-8
20-7
24-6
30-1
37-8
48-9
66
97-0
157
286
—
—
—
—
—
172
5-0
17-2
20O
23-0
27-1
32-5
40-6
51-5
69-2
99-8
147
253
559
—
—
—
—
5-1
173
193
21-7
24-8
29-5
35-4
431
54-7
70-6
94 6
138
216
—
—
—
—
5-2
18-0
19-7
21-4
239
27-1
31-5
37-0
44-2
54-5
69 3
93 2
132
205
380
—
—
5-3
19-6
20-5
21-6
23-3
25-6
28-6
32-8
38
44-8
54-0
68 6
94-0
130
185
—
—
5-4
22 '3
220
22-5
23 6
25-2
27-5
30-5
34 3
394
.45-4
54-7
67 3
86-5
116
169
275
5-5
—
24-5
25 '8
27-6
29-8
32-2
35-6
39 6
44-8
51-4
63-2
83-0
118
168
5-6
—
—
—
26-8
27-8
28-8
30-0
31-5
33-8
36-5
39-8
44-4
53-1
67-0
85-2
116
5-7
30-7
30-8
31
313
32
33-4
35-3
38 '2
42-2
48-4
56 6
69 !)
87-9
5-8
—
—
38-4
36-0
34-4
33 5
33 1
34-1
36-0
38-7
42-2
47-0
53-1
61-9
74-8
5-9
50-4
42-5
38-3
36 8
30 -4
36-5
37 9
40-0
43
46-6
513
578
66-2
6-0
—
—
41-0
41
4V6
42-7
44-6
47-2
50 3
55-0
61-5
6-1
48-2
47-0
46-1
46-0
46-7
48-0
50-0
53-5
58-5
6-2
573
54-0
51-6
49 8
49-1
49-4
50-0
52-5
56-8
6-3
79-4
60-6
58-6
54-2
51-8
51-2
50-8
52-5
55-5
6-4
128
84-0
66-9
599
55-9
53-9
53-1
57-4
63 5
73-6
97-2
53 6
57-0
61-5
678
77-7
55-4
56-7
59-2
63 5
70 5
6-5
6-6
6-7
6-8
6-9
134
96-0
82-0
7-0
11
82
(8,
Tables for Statisticians and Biometricians
TABLE XLIV. To find probable Frequency Type.
Values of l - 77 *JN'l l for given values of ft u y3 a {Semi-Minor Axis
of Probability Ellipse).
ft
■05
■1
■15
■2
■25
■8
■35
'4
■45
■5
■55
■6
■65
■7
■75
2-0
2-1
2-2
2S
2-4
2-5
2-6
2-7
2-8
2-9
8-0
3-1
8-2
8-8
3-4
8-5
3-6
3-7
3-8
3-9
4-0
4-1
4-2
4-s
4-4
4-5
4-6
4-7
4-S
4-9
5-0
5-1
5-2
5-3
5-4
5-5
5-6
5-7
5-8
5-9
6-0
6-1
6-2
6-3
6-4
6-5
6-6
6-7
6-8
6-9
7-0
o-o
o-o
o-o
o-o
o-o
o-o
o-o
o-o
o-o
o-o
o-o
o-o
o-o
•00
•00
•00
•00
•00
•00
•00
•00
1
1
1
1
1
1
1
2
2
5
5
5
5
e
6
6
7
7
8
8
9
1
2
4
5
6
S
2
0-7
0-7
0-8
0-8
0-9
0-9
1-0
1-0
1-1
1-2
1-2
1-3
1-4
1-6
1-7
1'cS
2-0
2-1
2 3
2-5
2-8
3-0
33
3-6
4-0
4-4
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
3
3
3
4
4
4
8
8
9
9
1
2
3
3
4
5
6
8
9
1
3
5
7
3
6
4
9
0-8
0-9
0-9
1-0
1-0
1-1
1-1
1-2
1-3
1-3
1-4
-1-5
1-6
1-8
1-9
2-1
2-2
2 -4
2-6
2-9
3-2
3-5
3-8
4-2
4-7
5-2
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
3
3
3
3
4
4
5
8
9
9
1
2
3
3
4
5
6
7
9
]
3
5
7
3
6
9
3
8
3
0-8
0-8
0-9
1-0
1-0
1-1
1-2
1-3
1-3
1-4
1-5
1-6
1-7
1-9
2'0
2-1
2-3
2-5
2-7
3-0
3-3
3-6
4-0
4-4
4-8
5-3
5 9
6-7
7-6
8 '5
11
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
3
3
3
4
4
4
5
5
6
7
8
1
8
8
9
1
2
3
3
4
5
6
7
9
1
3
.")
7
3
(.
4
8
3
9
7
6
B
0-7
0-8
0-9
1-0
10
1-1
1-1
1-2
1-3
1-4
1-5
1-6
1-7
1-8
2-0
21
2-3
2-5
2-7
3-0
3 3
3G
3-9
4-3
4-7
5-2
5-8
6-6
7-4
8-4
9-7
0-7
0-8
0-8
0'9
1-0
1-1
1-1
1-2
1-3
1-4
1-5
1-6
1-7
1-8
2-0
2-1
2-3
2-5
2-7
2-9
3-2
3-5
3 8
4-2
4-6
5-1
5-7
6-4
7-2
8-1
9-3
0-7
0-7
0-8
0-9
1-0
1-0
1-1
1-2
1-3
1-4
1-5
1-6
1-7
1-8
1-9
2-1
2-3
2-4
2-6
2-9
3-1
3-4
3-8
4-1
4-5
5-0
5-6
6-2
6-9
7-8
8-9
0-6
0-7
0-8
0-9
0-9
1-0
1-]
1-2
1-3
1-4
1-5
1-6
1-7
1-8
1-9
2-1
2-2
2-4
2-6
2-8
3-1
3 4
3-7
4-0
4-4
4-9
5-4
6-0
6-6
7-5
8-5
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
3
3
3
3
4
4
5
5
6
7
8
9
1
1
1
1
6
7
7
8
9
1
1
2
3
4
6
7
8
9
1
2
1
(i
6
:?
6
9
3
7
2
8
■1
2
1
3
1
2
i
6
0-5
0-6
0-7
0-8
0-9
1-0
1-0
l-l
1-2
1-3
1-4
IT)
1-6
1-7
1-9
2-0
2-1
23
2-5
27
2'9
3-2
3-5
3-8
4-2
4-6
5-1
5-7
63
7-0
7-7
8-6
9-5
11
13
15
1
1
1
1
1
1
I
1
1
1
2
2
2
2
2
2
3
3
3
4
4
5
5
6
6
7
8
8
1
1
1
5
6
7
8
9
1
2
3
4
5
6
7
9
1
3
5
7
i)
2
5
8
1
5
6
2
8
4
1
9
2
4
0-4
0-5
0-6
0-7
0-8
9
1-0
1-1
1-2
1-3
1-4
1-5
1-6
1-7
1-8
1-9
2-1
2-3
2-4
2-6
2-8
3-1
8-4
3-7
4-0
4-4
4-8
63
5-9
6-5
7-1
7-7
8-6
9(>
11
13
Probable Errors of Frequency Types
TABLE XLIV— {continued).
Values of 177 \ r N 2, for given values of &, /3 2 (Semi-AImor Axis
of Probability Ellipse).
A
83
■8
■85
•9
■05
1-0
1-05
VI
1-15
V2
1-36
IS
1-SB
1-4
1-45
1 -5
0-4
3
03
0-2
O'l
o-i
o-o
00
o-o
o-o
o-o
o-o
o-o
o-o
2-0
0-5
0-5
0-4
0-3
0-2
0-2
2
O'l
1
0-1
00
o-o
o-o
o-o
2-1
0-6
0-6
O-o
0-5
0-4
0-4
:■>
03
3
0-2
o-i
o-o
o-o
o-o
2-2
0-7
0-7
0-6
0-6
0-5
0-5
I
0-4
4
0-3
0-2
0-1
1
o-o
2-3
0-8
0-8
0-7
0-7
0-G
0-6
5
0'5
4
0-4
3
0-2
2
0-1
o-o
2-Jf
0-9
0-8
0-8
0-7
0-7 | 0-7
(i
06
5
0-5
0-4
0-3
3
0-2
o-i
2-5
1-0
0-9
9
0-8
0-8
0-8
7
0-7
7
0-6
0-6
5
4
0-3
0-2
2-6
11
1-0
1-0
0-9
0-9
0-9
H
0-8
8
0-7
07
0-6
5
0-4
03
1-1
11
1-1
1-0
1-0
1-0
!)
0-9
9
0-8
0-8
0-7
6
0-5
0-5
2-8
1-2
1-2
1-2
l'l
1-1
1-0
1
1-0
1
1-0
0-9
0-8
7
0-7
0-7
2-9
1-3
1-3
1-3
1-2
1-2
1-2
1
1
11
1
1
1-0
l'O
0-9
9
0-8
0-8
s-o
1-4
1-4
1-4
1-3
1-3
1-3
1
2
1-2
1
2
1-1
1-1
1-0
1
0-9
0-9
8-1
1-5
1-5
1-5
1-4
1-4
1-4
1
:;
1-3
1
2
1-2
1-2
11
1
1
10
10
S-2
1-7
1-6
1-6
1-5
1-4
1-4
1
:;
1-3
1
:;
1-2
1-2
1-2
1
1
1-1
1-0
3-8
1-8
1-7
1-7
1-6
1-6 1-6
1
5
1-5
1
i
1-4
13
1-3
1
2
1-2
1-1
s-j f
1-9
1-9
1-8
1-8
1-7
1-7
1
6
1-6
1
5
1-6
1-4
1-4
1
3
1-3
1-2
3-5
2-0
2-0
2-0
1-9
1-8
1-8
1
7
1-7
1
6
1-6
1-5
1-5
1
4
1-4
1-4
3-6
2-2
2-2
2-1
2-1
2-0
2
1
9
1-8
1
7
1-7
1-6
1-6
1
(i
1-5
1-6
87
2-4
23
2-2
2-2
2-1
2-1
2
2-0
1
9
1-9
1-8
1-7
1
7
1-6
1-6
3-8
2-6
2-5
2 4
2-4
23
2-3
2
2
2-1
2
2-0
19
19
1
8
1-7
1-7
39
2-8
2-7
2-6
2-6
2-6
25
2
4
2-3
2
2
22
2-1
2-1
2
2-0
1-9
4-0
3-0
2-9
2-8
2-8
2-7
2-7
2
6
2-5
2
4
2-4
2-3
2-3
2
2
2-2
2-1
4'1
3-2
3 2
31
3
2-9
2-9
■2.
8
2-7
2
6
2 6
2-5
2-4
2
3
2-3
2-2
4-2
3-5
3 5
3-4
3-3
3-2
31
3
2-9
2
8
2-8
2-7
2-6
2
5
2-4
2-4
4-3
3!)
3-8
3-7
3-6
3 5
3 4
3
3
31
3
3-0
2-9
2-8
2
7
2-7
2-6
4' 4
4-2
4-1
4-0
3-9
3-7
3 6
3
5
3 4
3
3 3-2
3-1
31
3
3-0
2'9
4-5
4-6
4-5
4-4
4-2
4-1
39
3
8
3 7
3
5
34
3 3
33
3
■2
3-2
3 1
4-6
5-1
4-9
4-8
4-6
4-4
4 3
4
2
4-0
3
8
37
3 6
3-5
3
4
3-4
33
4-7
5-6
6-4
5-2
5-0
4-8
4-7
4
6
4-4
4
2
4-0
3 9
3-8
3
7
3-6
35
4-8
6 ■%
6-0
5-7
5-5
6-3
5-1
5
4-8
4
6
4-4
4-2
4-1
4
(i
3-9
3-8
4-9
6-8
(i-6
6 3
61
5-8
5-6
5
4
5-2
5
4-8
4-6
4-4
4
3
4-2
4-1
5-0
7-4
7-2
7-0
6-7
6-4
6-2
5
9
5-7
5
4
5-1
4-9
4-7
4
(i
4-4
4 3
5-1
8 3
8-0
7 '7
7-4
7-1
6-8
6
5
6-2
5
8
5-5
5-2
5-0
4
9
4-7
4-5
S-2
92
8 9
8-6
8-2
7-8
7'5
7
1
6-7
6
3
5-9
5-6
5-4
5
■2
5-0
4-7
5-3
10
10
9-6
91
8-6
8'2
7
8
7 3
6
9
6-5
6-1
5-8
5
6
5-3
5-0
0-4
12
11
11
10
9-5
9-0
8
5
8-0
7
5
7-1
6-7
6-4
8
1
5-8
5-5
5-5
—
—
12
11
10
10
9-5
8-9
8
4
7-9
7-4
7-0
6
6
6 3
6-0
5-0
—
—
14
13
12
11
10
10
9-4
8-8
8-3
7-8
7
■1
7-0
6-7
5-7
—
—
16
14
13
12
12
11
10
10
9-4
8-8
8
3
7-8
7-4
5-8
—
—
18
16
15
14
14
13
12
11
10
10
9
5
8-9
8-4
5-9
—
—
22
20
18
10
15
14
13
12
12
11
11
10
9-5
G-0
18
16
15
14
13
13
12
12
11
G-l
21
19
17
16
15
14
13
13
12
0-2
24
21
19
18
17
16
15
14
13
0-3
—
—
—
—
—
—
■21
24
22
20
19
18
17
16
15
6-4
28
25
23
21
20
19
18
16
6-5
6-6
6-7
0-8
6-9
7-0
A
11-2
84 Tobies for Statisticians and Biometricians
TABLE XLV. To find 'probable Frequency Type.
Values of l - 77 ViVSj for values of /3 lt /3. 2 (Semi-Major Axis
of Probability Ellipse).
A
■05 -1
•IB
•2
■25
■35
■4
■45
■5
•55
■6
•65
•7
■75
2-0
2-1
2-2
S2S
2-4
2-5
2-6
2-7
2-8
2 9
s-o
81
8-2
38
s-j,
3-5
36
3-7
3-8
8-9
4-0
4-1
4-2
4-3
4'4
4-5
4-6
4-7
4-8
4-9
5-0
5-1
5-2
5-3
5-4
5-5
56
5-7
5-8
5-9
60
6-1
6-2
6-3
6-4
6-5
6-6
6-7
6-8
G-9
70
1-6
1-7
1-9
2-1
2-4
2-8
33
38
4-4
51
5-8
6-7
7-8
9-2
11
13
15
18
21
25
29
1-9
2-1
2 3
2-5
2-8
3 3
3-8
4-4
5
5-7
6 5
7-5
8-7
10
11
13
16
19
23
27
32
2-2
2-4
2-6
2-8
31
3 5
4-0
4-6
53
6-0
69
8-0
9-2
11
12
14
17
20
24
28
34
43
55
69
87
113
2-5
2-7
2-9
31
3-3
3-7
4-2
4-7
5-4
6-2
7-1
8 3
9-6
11
12
14
17
20
24
28
33
41
51
62
76
98
2-8
2-9
31
3-3
3 5
3-8
4-3
49
5-6
63
7-2
8-4
9-8
11
13
15
17
20
24
28
32
39
48
57
69
86
3-1
32
34
3-5
3-7
4-0
4-5
5-0
5-7
6-4
7 3
8-4
9-8
11
13
15
17
20
23
27
31
37
45
53
64
78
34
3o
3'7
3-8
3 9
4-1
4-6
5-1
5-8
6-5
7-3
8-4
9-7
11
13
14
16
19
22
26
30
36
42
50
60
71
90
110
140
200
384
3-7
3-8
3-9
4-0
4-1
43
4-7
5-2
5-9
6-6
7 3
8-3
9-5
11
12
14
16
19
22
25
29
34
40
48
56
66
79
99
124
160
234
4-1
4-1
4-1
4-2
43
4-5
4-8
5 3
5-9
6-5
7-2
8-2
9-4
11
12
14
16
18
21
24
28
32
38
45
53
62
73
90
110
135
182
4-4
4-4
4-4
4-4
4-5
4-7
4-9
5-4
5-9
65
7-1
8-0
9-2
11
12
14
16
18
21
24
27
31
36
43
50
57
67
80
97
119
153
4-7
4-6
4-6
4-6
4-7
4-8
5
5-4
5-8
6-4
7-0
7-9
9-0
10
11
13
15
17
20
23
26
30
34
40
46
53
61
72
86
105
130
5-0
4 '9
4-9
4-9
4-9
5
5-1
6-4
5-8
6 3
6-9
7-8
8-8
10
11
12
14
17
19
22
24
28
32
37
43
49
57
67
79
95
115
5-4
5 3
5-2
5-2
5-1
5-2
5 3
5-5
5-8
6-3
6-8
7-7
8-6
9-6
11
12
14
16
18
21
23
26
30
35
40
46
53
62
73
86
102
124
148
188
245
405
5-7
5-6
5-5
5-5
5-4
5-4
5 '5
56
5-9
6-3
6-8
7'6
8-4
9-4
11
12
14
16
18
20
22
25
29
33
38
43
50
58
68
79
92
110
134
166
203
297
61
6-0
5-9
5-8
5-7
5-7
5-7
5-8
6
6-4
6-8
7-5
8-3
92
10
11
13
15
17
19
21
24
27
31
36
41
48
55
64
74
85
101
120
146
177
230
6-4
6-3
62
61
60
5-9
6-0
61
6-2
6 5
6 8
7-4
8-1
8-9
10
11
13
14
16
18
20
23
26
29
34
39
45
52
60
69
79
93
109
129
154
194
A
Probable Errors of Frequency Types
TABLE XLV— {continued).
Values of VII -J N "2* for values of @ u j3 2 (Semi-Major Axis
of Probability Ellipse).
fit
85
■s
'86
■9
■95
1-0
1-05
1-1
1-15
1-2
9-9
125
10
1-8
11
1S5
11
1-4
11
1-1,5
12
1-5
12
2-0
6-8
7-2
7
6
7-9
8-3
8-7
9-1
9-5
6-7
7'0
7
4
7-8
8-1
8-5
8-9
92
9-6
10
11
11
11
11
12
2-1
65
6 8
7
1
7-6
8-0
8-3
8-6
9-0
9-4
9-8
10
10
11
11
12
2-2
6-4
6-7
7
1
7-4
7-8
8-1
8-5
8-8
9-2
9 6
9 9
10
11
11
12
2-8
6-3
6-6
6
B
7-3
76
8-0
8-3
8-7
9-0
9-4
9-8
10
10
11
11
2-4
6-2
65
6
8
7-1
7 5
7-8
8-2
8-5
8-9
9-2
9-6
10
10
11
11
2-5
62
6-5
G
8
7-1
7-4
7-7
8-0
8-3
8-7
9-0
9-4
9-9
10
11
11
26
6-3
6 5
6
8
7-0
7 3
7-6
7 9
8-2
8-5
8-8
9-2
9-7
10
10
11
2'7
64
6-6
6
8
7-0
7-2
7'5
7-7
80
8-3
8-7
91
9-5
9-8
10
10
2-8
6-6
6-7
6
8
7-0
7-2
7-4
7 6
7-9
8-2
8-0
8-9
9-3
9-6
10
10
2-9
6-9
7-0
7
1
7-2
7 3
7-5
7-7
7-9
8-2
8-5
8-8
91
9-4
9-7
10
3-0
7 3
73
7
■■',
7-4
75
7 6
7-8
8-0
8-2
8-5
8-7
9
9-3
96
9-9
3-1
7-9
7-9
7
8
7-8
7-8
79
8-1
8-2
8-3
8-5
8-7
8-9
9-2
9-5
9-8
3-2
8-7
8-5
8
4
8-3
8 3
8-3
8-3
8-4
8-5
8-7
89
91
9-3
9-5
97
38
9-5
9-3
91
9
8-8
8-8
8-8
8-8
8-9
9
91
9-2
9-4
9-5
9 7
Slf
11
10
10
9-8
9-6
95
9-4
9 3
9-3
9-3
93
9-4
9-5
9 6
9-8
3-5
12
11
11
11
10
10
10
10
99
9-9
9-8
9-7
9-7
9-8
9-9
3-G
13
12
12
12
11
11
11
11
11
10
10
10
10
10
10
3-7
15
14
14
13
13
13
12
12
12
11
11
10
10
10
11
S-8
17
16
16
15
14
14
14
13
13
12
12
11
11
11
11
39
19
18
18
17
16
16
15
14
14
13
13
12
12
12
12
4-0
22
21
20
19
18
17
17
16
15
15
14
14
13
13
13
4-1
24
23
22
21
20
19
18
18
17
16
15
15
14
14
14
4-2
28
26
25
23
22
21
20
20
19
18
17
16
15
15
15
1,-S
32
30
29
27
25
24
23
22
21
20
19
18
17
17
17
4-4
37
35
33
31
29
27
26
25
24
23
22
21
20
19
18
4-5
43
40
37
35
33
31
29
28
27
25
24
23
22
21
20
40
49
45
42
39
37
35
33
32
•30
28
27
26
24
23
22
47
56
52
48
45
42
40
38
36
34
32
31
29
27
26
25
1,-S
64
59
55
51
48
46
42
40
38
36
35
33
31
29
28
1,9
73
68
63
59
55
52
49
46
43
41
39
37
35
33
32
5-0
85
78
72
67
63
59
55
52
49
46
43
41
39
37
36
5-1
99
90
82
77
72
67
63
58
55
52
49
46
43
41
40
5-2
114
104
95
88
82
76
71
66
62
58
55
51
48
46
44
5-3
136
123
112
102
95
87
80
75
70
65
61
57
54
51
49
5-4
167
147
132
119
108
100
92
85
79
74
69
64
60
57
54
5-5
—
—
160
141
126
115
105
96
89
83
78
73
68
64
60
5-6
—
—
206
169
148
132
120
no
102
95
88
82
76
72
67
57
—
—
258
206
175
150
136
126
116
108
100
93
87
81
75
58
—
—
318
255
215
190
168
150
136
125
115
107
99
92
85
59
—
—
446
332
273
228
200
178
161
147
134
123
113
104
98
GO
264
215
190
171
157
144
130
120
112
G-l
345
268
230
207
184
167
150
138
127
G-2
480
364
294
250
215
194
174
159
144
63
—
—
—
—
—
—
680
477
370
299
252
224
201
181
165
G-l,
1047
680
456
3G8
312
268
237
212
191
6-6
280
338
412
525
248
297
362
446
223
266
320
390
GG
G-7
G-8
G-9
809
584
491
7-0
A
8G
Tables for Statisticians and Biometricians
A
TABLE XLVI. To find probable Frequency Type.
Angle between Major-Axis and Axis of j3- 2 {Probability Ellipse)
measured in degrees.
■05
•1
■15
■2
•25
■3
•35
■4
•46
■5
■55
■6
■65
■7
■75
2-0
12
23
28
31
33
35
36
37
38
39
40
41
41
42
42
2-1
11
21
20
28
30
32
34
35
37
38
39
40
40
41
41
2-2
10
19
23
26
28
30
32
33
35
36
38
39
39
40
40
2-s
10
18
22
25
27
28
30
32
34
35
37
38
38
39
39
2-4
9
17
20
23
25
26
29
31
33
34
35
36
37
38
38
2-5
8
15
18
21
23
25
27
29
31
33
34
35
36
37
37
2-6
7
14
17
20
22
24
26
28
30
31
33
34
35
35
36
2-7
7
13
16
19
21
23
25
26
28
29
31
32
33
34
35
2-8
6
12
15
17
19
21
23
25
27
28
30
31
32
33
33
2-9
6
11
14
16
18
20
22
23
25
26
28
29
30
31
32
3-0
5
10
13
15
17
19
21
22
24
25
27
28
29
30
31
S-l
5
9
12
14
16
18
20
21
23
24
26
27
28
29
30
3-2
5
9
12
14
16
17
19
20
21
22
24
25
26
27
28
3-3
4
8
11
13
15
16
18
19
20
21
22
24
25
26
27
3-4
4
8
10
12
14
15
17
18
19
20
21
22
23
24
SO
3-5
3
7
9
11
13
14
15
17
18
19
20
21
22
23
24
S-G
3
6
8
10
12
13
14
15
16
18
19
20
21
22
23
3-7
3
5
7
9
11
12
13
14
15
16
17
18
19
20
21
3-8
3
5
7
9
10
11
12
13
14
15
16
17
18
19
20
3-9
2
4
6
8
9
10
11
12
13
14
15
16
17
18
19
4-0
2
4
6
7
8
9
10
11
12
13
14
15
16
17
18
*-l
—
—
3
5
6
7
8
9
10
11
12
13
14
15
16
17
w
—
—
3
4
5
6
7
8
9
10
11
12
13
14
15
16
4-3
—
—
2
4
5
5
6
7
9
10
10
11
12
13
14
15
■M
—
—
2
3
4
5
6
7
8
9
9
10
11
12
13
14
4-5
—
1
2
3
4
5
6
7
8
8
9
10
11
12
13
4-0
4
5
6
7
7
8
9
10
11
12
4-7
3
4
5
6
6
7
8
9
10
11
4-8
'3
4
4
5
5
6
7
8
9
10
4-9
2
3
3
4
5
6
6
7
8
9
5-0
1
2
2
3
4
5
6
6
7
8
5-1
5
5
C
7
5-2
4
5
6
7
5-3
3
4
5
5
5-4
2
3
4
5
5-5
—
—
1
2
3
4
5-0
6-7
5-8
5-9
—
—
6-0
6-1
6-2
0-3
is- 4
6-5
6-G
—
—
6-7
G-8
6-9
7-0
Probable Errors of Frequency Types
87
TABLE XLVI— (continued).
Angle between Major-Axis and Axis of y8 a (Probability Ellipse)
measured in degrees.
■8
■85
■9
■95
1-0
105
VI
1-15
V2
V25
1-3
1-35
1-b
1-45
1-5
43
43
44
44
45
45
46
46
46
46
47
47
48
48
49
2-0
42
42
43
44
44
44
45
45
45
46
46
47
47
48
48
2-1
41
41
42
42
43
43
44
44
45
45
46
46
46
47
47
2-2
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
2-3
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
2-4
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
2-5
37
37
38
39
39
39
40
40
41
41
42
42
43
43
44
2-6
36
36
37
38
38
39
39
40
41
41
42
42
43
43
44
2'7
34
35
36
36
37
38
38
39
40
40
41
41
42
42
43
2-8
33
34
35
35
36
37
38
38
39
39
40
40
41
41
42
2-9
32
33
34
34
35
36
37
37
38
38
39
39
40
40
41
3-0
30
31
32
33
34
35
35
36
37
38
38
39
39
40
40
3-1
20
30
31
32
33
34
34
35
36
37
38
38
39
39
39
3-2
28
29
30
31
32
32
33
34
35
36
37
37
38
38
38
3'3
26
27
28
29
30
31
32
33
34
35
36
36
37
38
38
3-4
25
26
27
28
29
30
31
32
33
34
35
35
36
36
37
3-5
24
25
26
27
28
29
30
31
32
33
34
34
35
35
36
3-6
22
23
24
25
26
27
28
29
31
32
33
33
34
34
35
3-7
21
22
23
24
25
26
27
28
29
30
31
32
33
33
34
3-8
20
21
22
23
24
25
26
27
28
29
30
31
32
32
33
3-9
19
20
21
22
23
24
25
26
27
28
29
30
31
31
32
4'0
18
19
20
21
22
23
24
25
26
27
28
29
30
30
31
4-1
17
18
19
19
20
21
22
23
25
26
27
28
29
30
30
4-2
16
17
18
19
19
20
21
22
23
24
25
26
27
28
29
4-3
15
16
17
18
18
19
20
21
22
23
24
25
26
27
28
4-4
14
15
16
16
17
18
19
20
21
22
23
24
25
25
26
4-5
13
14
15
15
18
17
18
19
20
21
22
23
24
25
25
4-6
12
13
14
14
15
16
17
18
19
20
21
22
23
24
24
4-7
11
12
13
14
15
15
16
17
18
19
20
21
22
23
23
4-s
10
11
12
13
14
14
15
16
17
18
19
20
21
21
22
4'9
9
10
11
12
13
13
14
15
16
17
18
19
20
20
21
5-0
.8
9
10
11
12
13
13
15
16
16
17
18
19
20
20
5-1
7
8
9
10
11
12
13
14
15
15
16
17
18
19
19
5-2
6
7
8
9
10
11
12
13
14
14
15
16
17
18
18
5-3
6
7
8
8
9
10
11
12
13
13
14
15
16
17
17
5-4
5
6
7
7
8
9
10
11
12
12
13
14
15
16
17
5-5
—
—
6
7
7
8
9
10
11
12
13
13
14
15
16
5-6
—
—
5
6
6
7
8
9
10
11
12
12
13
14
15
5-7
—
—
4
5
5
6
7
8
9
10
11
11
12
13
14
5-S
—
—
3
4
5
5
6
7
8
9
10
10
11
12
13
5-9
—
—
2
3
4
4
5
6
7
8
9
9
10
11
12
6-0
—
—
6
7
8
9
9
10
11
6-1
—
—
—
—
—
—
—
—
5
6
7
8
8
9
10
6-8
4
5
6
6
7
8
9
6-3
3
4
5
6
6
7
8
6-4
—
—
—
—
—
—
—
—
2
3
4
5
6
5
6
6
7
7
6-5
6-6
4
3
2
1
5
4
3
3
6
5
4
4
6-7
6-8
6-9
7-0
A
88
Tables for Statisticians and Biontetr,
icuins
Diagram XLVII determining the probability of a given Type of Frequency.
Probable Occurrences in Second Small Samples
89
TABLE XL VIII. Percentage Frequency of Successes in a Second Sample
" m " after drawing " p " Successes in a First Sample " n ".
Successes
p =
i>=l
i> = 2
p = 3
p = i
n-
= 6)
= 5] 1
58-3333
31-8182
15-9091
7-0707
in
26-5151
31-8182
26-5151
17-6768
2
10-6060
21-2121
26-5151
25-2525
3
3 5354
10-6060
18-9394
25-2525
4
•8838
3-7879
9-4697
17-6768
5
•1263
•7576
2-6515
7-0707
n-
= 6|
53-8162
26-9231
12-2378
4-8951
m
= 6( 1
26-9231
29-3706
22-0280
13-0536
2
12*2378
22-0280
24-4755
20-3963
3
4-8951
13-0536
20-3962
23-3100
4
1-6317
6-1189
13-1119
20-3963
5
•4079
2-0979
6-1189
13-0536
6
•0582
•4079
1-6317
4-8951
n =
= 7|
61-5385
35-8974
19-5804
9-7902
m=
= 5f 1
25-6410
32-6340
29-3706
21-7560
2
9-3240
19-5804
26-1072
27-1950
3
2-7972
8-7024
16-3170
23-3100
4
•6216
2-7195
6-9930
13-5975
6
•0777
•4662
1-6317
4-3512
n-
= 7|
57-1429
30-7692
15-3846
6-9930
m-
-ef i
26-3736
30-7692
25-1748
16-7832
2
10-9890
20-9790
25-1748
23-3100
3
3-9960
11-1888
18-6480
23-3100
4
1-1988
4-6620
10-4895
17-4825
5
•2664
1-3986
4-1958
9-3240
6
•0333
•2331
•9324
2-7972
n=
= 71
53-3333
26-6667
12-3077
5-1282
m*=7
26-6667
28-7179
21-5385
13-0536
2
12-3077
21 -5385
23-4965
19-5804
3
5-1282
13-0536
19-5804
21-7560
4
1-8648
6-5268
13-0536
19-0365
5
•5594
2-6107
6-8531
13-0536
6
•1243
•7615
2-6107
6-5268
7
•0155
•1243
•5594
1-8648
n =
= 8\
64-2857
39-5604
23-0769
12-5874
6-2937
m =
-b{ 1
24-7253
32-9670
31-4685
25-1748
17-4825
2
8-2418
17-9820
25-1748
27-9720
26 2238
3
2-2478
7-1928
13-9860
20-9790
26-2238
4
•4495
1-9980
5-2448
10-4895
17-4825
5
•0499
•2997
1-0489
2-7972
6-2937
n =
= 81
60-0000
34-2857
18-4615
9-2308
4-1958
m =
,6f 1
25-7143
31 -6484
27-6923
20-1398
12-5874
2
9-8901
19-7802
25-1748
25-1748
20-9790
3
3-2967
9-5904
16-7832
22-3776
24-4755
4
•8991
3-5964
8-3916
14-6853
20-9790
5
•1798
•9590
2-9370
6-7133
12-5874
6
•0200
•1399
•5594
1-6783
4-1958
n =
■S\
56 -2500
30-0000
15-0000
6 9231
2-8846
m =
.7? l
26-2500
30-0000
24-2308
16-1538
9-1783
2
11-2500
20-7692
24-2308
22-0280
16-5210
3
4-3269
11-5385
18-3566
22-0280
21-4161
4
1-4423
5-2448
11-0140
17-1329
21-4161
5
•3934
1-8881
5-1399
10-2797
16-5210
6
•0787
•4895
1-7132
4-4056
9-1783
7
•0087
•0609
•3147
1-0489
2-8846
l>=5
B.
12
90
Tables for Statisticians and Biometricians
TABLE XLVIII — {continued). Percentage Frequency of Successes in a Second
Sample " m " after drawing "p " Successes in a First Sample " n ".
p = 5
Successes
p =
p = \
t»-a
,,-3
p = i
n-
= 81
52-9412
26-4706
12-3529
5-2941
2-0362
m-
= 8f
1
26-4706
28-2353
21-1765
13-0317
6-7873
2
12-3529
21-1765
22-8054
19-0045
12-9576
8
5-2941
13-0317
19-0045
20-7322
18-1407
4
2-0362
6-7873
12-9576
18-1407
20-1563
6
•6787
2-9617
7-2563
12-9000
18-1407
6
•1851
1-0366
3-2250
7-2563
12-9576
7
•0370
•2633
1-0366
2-9617
6-7873
8
•0041
•0370
•1851
•6787
2-0362
n<=
:?!
66-6667
42-8571
26-3736
15-3846
8-3916
iti-
1
23-8095
32-9670
32-9670
27-9720
20-9790
2
7-3260
16-4835
23-9760
27-9720
27-9720
S
1-8315
5-9940
11-9880
18-6480
24-4755
4
•3330
1-4985
3-9960
8-1585
13-9860
5
•0333
•1998
•6993
1-8648
4-1958
n-
= 91
62-5000
37-5000
21-4286
11-5385
5-7692
m =
= 6f
1
25-0000
32-1429
29-6703
23-0769
15-7343
2
8-9286
18-5439
24-7253
26-2238
23-6014
8
2-7472
8-2418
14-9850
20-9790
24-4755
k
■6868
2-8097
6-7433
12-2378
18-3566
5
•1249
•6743
2-0979
4-8951
9-4405
6
•0125
•0874
•3496
1-0489
2-6224
n»
= 9 l
58-8235
33-0882
17-6471
8-8235
4-0724
»■
= 71
1
25-7353
30-8824
26-4706
19-0045
11-8778
2
10-2941
19-8529
24-4344
23-7557
19-4364
8
3-6765
10-1810
16-9683
21-5961
22-6759
4
1-1312
4-2421
9-2554
15-1172
20-1563
5
•2828
1-3883
3-8873
8-0625
13-6055
6
•0514
•3239
1-1518
3-0234
6-4788
7
•0051
•0411
•1851
•6170
1-6968
B =
= 91
55-5555
29-4118
14-7059
6-8627
2-9412
1H =
= 8f
1
26-1438
29-4118
23-5294
15-6863
9-0498
2
11-4379
20-5882
23-5294
21-1161
15-8371
S
4-5752
11-7647
18-0995
21-1161
20-1563
It
1-6340
5-6561
11-3122
16-7969
20-1563
5
•5027
2-2624
5-7589
10-7500
16-1250
6
•1257
•7199
2-3036
5-3750
10-0782
7
•0229
•1645
•6582
1-9197
4-5249
8
•0023
•0206
•1028
•3771
1-1312
n=
=9|
52-6316
26-3158
12-3839
5-4180
2-1672
m=
-9(
1
26-3158
27-8638
20-8978
13-0031
6-9659
2
12-3839
20-8978
22-2910
18-5759
12-8602
8
5-4180
13-0031
18-5759
20-0047
17-5042
U
2-1672
6-9659
12-8602
17-5042
19-0955
5
•7740
3-2151
7-5018
12-7303
17-1859
6
•2381
1-2503
3-6372
7-6382
12-7303
7
•0595
•3897
1-4029
3-6372
7-5018
8
•0108
•0877
•3897
1-2503
3-2150
9
•0011
•0108
•0595
•2381
•7740
n=
= 5 l
54-5454
27-2727
12-1212
4-5454
m -
-b)
1
27-2727
30-3030
22-7273
12-9870
2
12-1212
22-7273
25-9740
21-6450
8
4-5454
12-9870
21-6450
25-9740
4
1-2987
5-4112
12-9870
22-7273
6
•2165
1-2987
4-6454
12-1212
Probable Occurrences in Second Small Samples 91
TABLE XLVIII— {continued).
Successes p = p = l i> = 2 p = 3 y = 4 p=S p=d p = l
n=10l
m= 5j
68-7500 45-8333 29-4643 18-1318 10-5769 5-7692
1 22-9167 32-7381 33-9972 30-2198 24-0385 17-3077
2 6-5476 15-1099 22-6648 27-4725 28-8461 26-9230
5 1-5110 5-0366 10-3022 164835 22-4359 269230
4 -2518 1-1447 3-0907 6-4103 11-2179 17-3077
6 -0229 -1373 -4807 1-2820 2-8846 5-7692
n = 10l
to = 10| 1
52-3809 26-1905 12-4060 5-5138 2-2704 -8514
26-1905 27-5689 20-6767 12-9736 7-0949 3-4056
12-4060 206767 21-8930 18-2441 12-7709 7-6G25
5 5-5138 12-9736 18'2441 19-4604 17-0278 12-5744
4 2-2704 7-0949 12-7709 17-0278 18-3377 16-5039
6 -8514 3-4056 7-6625 12-5744 16-5039 18-0043
6 -2838 1-4190 3-9295 7-8590 12-5030 16-5039
7 -0811 -4990 1-6841 4-0826 7-8590 12-5744
8 -0187 -1403 -5741 1-6841 3-9295 7-6625
9 -0031 -0284 -1403 "4990 1-4190 3-4056
10 -0003 -0031 -0187 -0811 -2838 -8514
w = 15|
m= 5f 1
76-1905 57-1429 42-1053 30-4094 21-4654 14-7575 9-8383 6-3246
190476 30-0752 35-0877 35-7757 33-5397 29-5149 24-5958 19-4604
2 4-0100 10-0251 16-5119 22-3598 26-8318 29-5149 30-2717 29-1906
5 -6683 2-3588 6-1599 8-9439 13-4159 18-1631 22-7038 26-5369
4 -0786 -3685 1-0320 2-2360 4-1280 6-8111 10-3199 14-5953
6 -0049 -0295 -1032 -2752 -6192 1-2384 2-2704 38921
n = 15l
«i = 10( 1
61-5384 36-9231 21-5385 12-1739 6-6403 3-4783 1-7391 -8238
24-6154 30-7692 280936 22-1344 15-8103 10-4348 6-4073 3-6613
9-2308 18-0602 22-9857 23-7154 21-3439 17-2997 12-8146 8-7226
$ 3-2107 8-7565 14-5941 18-9723 209694 20-5034 18-0913 14-5376
4 1-0216 3-6485 7 '6619 12-2322 16-3095 18-9958 19-7873 18-6566
6 -2919 1-3135 3-3874 6-5238 10-3613 14-2469 17-4128 19-1897
6 -0730 -4032 1-2546 2-8781 5-3965 8-7064 12-4377 16-9914
7 -0153 -1024 -3795 1-0279 2-2614 4-2644 7-1073 10-6609
8 -0025 -0203 "0889 -2827 -7269 1-5991 3-1094 5-4516
9 -0003 -0028 -0145 -0538 -1615 -4146 -9423 1-9383
10 -0000 -0002 -0012 -0054 -0189 -0565 -1508 -3661
w = 16l
m=15( 1
» = 15| 51-6129 25-8066 12-4583 5-7842 2-5707 1-0876 -4351 -1631
25-8065 26-6963 200222 128538 7-4156 3-9155 1-9033 -8512
2 12-4583 20-0222 20-7638 17-3032 12-4583 7-9941 4-6342 2-4375
5 5-7842 12-8538 17'3032 17'9953 15-7459 12-0490 8-2152 6-0297
It 2-5707 7-4156 12-4583 16-7459 16-4305 14-7874 11-7361 8-2991
6 1-0876 3-9155 7-9941 12-0490 14-7874 16-4916 14-2006 11-5313
6 -4351 1-9033 46342 8-2152 11-7361 14-2006 H'9480 13-8803
7 -1631 -8512 2-4375 5-0297 8-2991 11-5313 13-8803 14-6968
8 -0567 -3482 1-1607 2-7663 5-2415 8-3282 11-4309 13-7783
9 -0181 -1289 -4965 1-3589 29443 5-3344 8-3350 11-4309
10 -0052 -0426 -1882 -5889 1-4548 30006 5-3344 8-3282
11 -0013 -0122 -0618 -2204 -6200 1-4548 2-9443 5-2415
12 -0003 -0029 -0169 -0689 -2204 -5889 1-3589 2-7664
IS -0001 -0006 -0037 -0170 -0618 -1882 -4965 1-1607
14 -0000 -0001 -0006 -0029 -0122 -0426 -1290 -3482
15 -0000 -0000 -0000 -0003 -0013 -0052 -0181 -0567
12—2
92 Tables for Statisticians and Biometriciam
TABLE XLVIII — (continued). Percentage Frequency of Successes in a Second
Sample "m" after drawing "p" Successes in a First Sample "n".
Successes p = p = l p = 2 p = 3 p — 4 p = 5
m=20| 80-7692 04-6154 51-1538 40-0334 30-9349 23-5695
M= 5 i 16-1538 26-9231 33-3612 36-3940 36-8273 35-3542
ft 2-6923 7-0234 12-1313 17-3305 22-0964 26-0505
S -3512 1-2770 2'8884 5-1992 8-1408 11-5780
4 -0319 -1520 -4333 -9577 1-8090 3-0647
5 -0015 -0091 -0319 -0851 -1915 -3831
w=20l 67-7419 45-1613 29-5884 19-0211 11-9763 7-3700
«i=10[ 1 22-5806 31-1457 31-7019 28-1795 23-0313 17-6880
ft 7-0078 15-0167 21-1346 24-3861 24-8738 23-2155
S 2-0022 5-9325 10-8382 15-6071 19-3463 21-5333
4 -5191 1-9965 4-5521 7-9661 H'7760 15-4158
5 -1198 -5750 1-5932 3-3250 5'7809 8-8091
6 -0240 -1398 -4618 1-1335 2-2940 4-0375
7 -0040 -0278 -1079 -3084 -7210 1-4571
8 -0005 -0043 -0193 -0636 -1707 -3946
9 -0000 -0004 -0024 -0089 -0274 -0722
10 -0000 -0000 -0002 -0006 -0023 -0068
w = 20( 58-3333 33-3333 18-6275 10-1604 5'3977 2-7859
to = 15| 1 25-0000 29-4118 25-4011 19-0508 13-0590 8-3578
ft 10-2941 18-7166 22-2259 21-5090 18-2826 14-1218
S 4-0553 10-1381 155343 18-6411 19-1232 17-4841
4 1-5207 4-9056 9-3206 13-4987 16-3913 17-4841
5 -5396 2-1584 4'9495 8'4849 12-0203 147942
6 -1799 -8683 2-3569 4-7138 7-7053 10-8491
7 -0558 -3190 1-0101 2-3310 4-3590 6'9744
8 -0159 -1063 -3885 1-0256 21795 3-9421
9 -0041 -0318 -1330 -3989 -9581 1-9511
10 -0010 -0084 -0399 '1353 -3658 -8362
11 -0002 -0019 -0102 -0391 '1188 -3041
12 -0000 -0004 -0022 -0093 -0317 -0907
13 -0000 -0001 -0004 -0017 -0065 -0209
14 -0000 -0000 -0000 -0002 -0009 -0033
15 -0000 -0000 -0000 -0000 -0001 -0003
= 201
= 20f 1
51-2195 25-6098 12-4765 5-9099 2-7154 1-2068
25-6098 26-2664 19-6998 12-7783 7-5427 4-1377
12-4765 19-6998 20-2323 16-8602 12-2839 8-0929
S 5-9099 12-7783 16-8602 17-3419 151742 11-7715
4 2-7154 7-5427 12-2839 15-1742 15-6340 14-0706
5 1-2068 4-1377 ' 8-0929 11-7715 140706 145245
6 -5172 2-1297 4-9048 8-2768 11-3473 133141
7 -0839 1-0326 2"7589 5-3399 8-3213 11-0186
8 -0315 -4719 1-4462 3-1817 5-5954 8-3131
9 -0112 -2030 -7070 . 1-7554 3-4638 5-7473
10 -0037 -0819 -3218 -8965 1-9757 3 6474
11 -0012 -0308 -1358 -4226 1'0362 2-1221
12 -0003 -0107 -0528 -1829 -4974 1-1274
IS -0001 -0034 -0188 -0720 -2168 -5429
14 -0000 -0010 -0060 -0255 -0848 -2345
15 — -0003 -0017 -0080 -0293 -0893
10 — -0000 -0004 -0022 -0087 "0293
17 — — -0001 -0005 -0022 -0080
18 — — -0000 -0001 -0004 -0017
19 — — — -0000 -0001 -0003
so — — — — -oooo -oooo
Probable Occurrences in Second Small Samples
93
TABLE XLVIII— (continued).
Successes
p =
p=l
p=2
p = 3
p = 4
p — 5
re = 25|
m= 5| 1
83-8710
69-8925
57-8421
475131
38-7144
312693
13-9785
24-1008
30-9868
35-1949
37-2254
37-5232
2
1-9281
5-1645
9-1813
13-5365
17-8682
21 -8885
S
•2065
•7651
1-7656
3-2488
5-2115
7-6134
4
•0153
•0736
•2119
•4738
■9064
1-5573
5
•000(5
•0035
•0123
•0329
•0741
•1483
n = 25l
m=\o\ 1
72-2222
51-5873
36-4146
25-3798
17-4486
11-8200
20-6349
303455
33-1041
31-7248
28-1430
23-6401
2
5-4622
12-4141
18-6211
23-0261
25-3287
25-6780
S
1-3242
4-1380
8-0091
12-2806
16-3035
19-5642
4
•2897
1-1680
2-8032
5-1875
8-1518
11-4125
5
•0561
•2803
•8119
1-7786
3-2607
5-2673
6
•0093
•0564
•1933
•4940
1-0451
1-9313
7
•0013
•0092
•0368
•1086
•2628
•5518
8
•0001
•0011
•0053
•0179
•0493
•1170
9
•0000
•0001
■0005
•0020
•0062
•0165
10
•0000
•0000
•0000
•0001
•0004
•0012
n'=25|
m=15( 1
63-4146
39-6341
24-3902
14-7625
8-7777
6-1203
23-7805
30-4878
28-8832
23-9392
18-2869
13-1666
2
8-5366
16-8485
21-8575
23-2742
21 -9443
18-9753
3
2-9204
7-8930
13-1550
17-2894
19-5777
19-9337
4
•9472
3-2888
6-7654
10-6788
14-2383
16-8191
5
•2894
1-2403
3-0643
5-6953
8-8100
11-9361
6
•0827
•4256
1-2381
2-6697
4-7366
7-2943
7
•0218
•1326
•4477
1-1072
2-2329
3-8807
8
■0053
•0373
•1444
•4060
•9240
1-8017
9
•0012
•0094
•0412
•1307
•3337
•7266
10
•0002
•0020
■0102
•0364
•1038
•2515
11
•0000
•0004
•0022
•0086
•0272
•0732
12
•0000
•0001
•0004
•0016
•0058
•0173
is
•0000
•0000
•0001
•0002
•0009
•0031
U
—
•0000
•0000
•0000
•0001
•0004
10
—
—
•0000
•0000
•0000
•0000
n = 25|
m*=20f 1
56-5217
31-4010
17-1278
9-1614
4-7988
2-4579
25-1208
28-5463
23-8993
17-4502
11-7044
7 3738
2
10-8476
18-9202
21-6231
20-2168
16-6788
12-5733
S
4-5409
10-8116
15-8218
18-1951
17-9618
15-8820
4
1-8380
5-6036
10-0864
13-8796
16-0711
16-4186
5
•7172
2-6897
5-7932
9-3504
12-5094
14-5943
6
•2690
1-2069
3-0491
5-6861
8-6871
11-4669
7
•0965
•5082
1-4833
3-1589
5-4604
8-0943
8
•0330
•2009
•6695
1-6133
31317
5-1816
9
•0107
•0744
■2806
•7592
1-6449
3 0226
10
•0033
•0257
■1089
•3290
•7916
1-6088
11
•0009
•0082
•0390
•1308
■3482
•7800
12
•0002
•0024
•0128
•0475
•1393
•3429
18
•0001
•0006
•0038
•0156
•0502
•1357
14
•0000
•0002
•0010
•0046
•0162
•0477
15
—
•0000
•0002
•0012
•0045
•0147
16
—
—
•0001
•0002
•0011
•0039
17
—
—
—
•0000
•0002
•0008
18
—
—
—
—
•0000
•0001
19
—
—
—
—
—
•0000
20
—
—
—
—
—
—
94
Tables for Statisticians and Biometricians
TABLE XLVIII— (continued). Percentage Ft
•equency
of Successes
in a Se
Sample "
m " after
drawing " p" Successes in a
First Sample " n ".
Successes
p =
P = i
p = 2
i> = 3
p=4
p.fi
w = 25|
m = 25| ;
50-9804
25-4902
12-4850
5-9824
2-8003
1-2784
25-4902
26-0104
19-5078
12-7285
7-6094
4-2613
2
12-4850
19-5078
19-9229
16-6024
12-1751
8-1352
3
5-9824
12-7285
16-6024
16-9713
14-8499
11-6037
4
2-8003
7-6094
12-1751
14-8499
15-1953
13-6757
5
1-2784
42613
8-1352
11-6037
13-6757
14-0093
6
•5682
2-2598
5-0451
8-2883
11-1185
12-8418
7
■2453
1-1411
2-9344
5-4870
8-2990
10-7251
8
•1027
•5502
1-6103
3-3951
5-7456
8-2555
9
•0416
•2535
•8365
1-9732
3-7128
5-9003
10
•0162
•1115
•4118
1-0801
2-2477
3-9335
11
•0061
•0468
•1921
■5573
1-2771
2-4521
n
•0022
•0187
•0848
•2709
•6811
1-4304
is
•0007
•0070
•0353
•1238
•340C
•7802
H
•0002
•0025
•0138
•0531
•1592
•3971
15
—
•0008
•0051
•0212
•0693
•1879
16
—
•0003
•0017
•0079
•0280
•0822
17
—
•0001
•0005
•0027
•0104
•0330
18
—
—
•0002
■0008
•0035
•0120
19
—
—
•0000
•0002
•0010
•0039
20
—
—
—
•0001
•0003
•0011
SI
—
—
—
—
•0001
•0003
ss
ss
*4
—
—
—
—
—
•0001
25
«=50l
m= 5| 1
91-0714
82-7922
75-1263
68-0389
61-4967
55-4676
8-2792
15-3319
21-2621
26-1688
30-1454
33-2805
2
•6133
1-7357
3-2711
5-1311
7-2349
9-5087
S
•0347
•1335
•3207
•6157
1-0335
1-5848
4
•0013
•0065
•0192
•0440
•0861
•1517
5
■0000
•0001
•0005
•0014
•0033
•0066
»=50l
m = lO{ 1
83-6065
69-6721
57-8633
47-8869
39-4857
32-4346
13-9344
23-6177
29-9293
33-6048
35-2551
35 3833
2
2-1256
5-4972
9-4513
13-5019
17-3070
20-6402
3
•2932
1-0287
2-2503
3-9278
5-9827
8-3080
4
•0360
•1607
•4296
•8910
1-5803
2-5164
5
•0039
•0210
•0668
•1614
•3282
•5921
6
•0003
•0023
•0084
•0233
•0536
•1085
7
•0000
•0002
•0008
•0026
•0067
•0152
8
•0000
•0000
•0001
•0002
•0006
•0015
9
•0000
■0000
•0000
•0000
•0000
•0001
10
•0000
•0000
•0000
•0000
•0000
■0000
»=50|
»i=15| 1
77-2727
59-4406
45-5092
34-6737
26-2849
19-8214
17-8322
27-8628
32-5066
33-5552
32-3175
29-7321
2
3-9008
9-2876
14-6804
19-2530
22-6222
24-6927
3
•8049
2-5965
5-2143
8-3429
11-6306
14-7589
4
•1558
•6385
1-5643
2-9695
4-8127
6-9910
6
•0281
•1405
•4083
•9011
1-6718
2-7465
6
•0047
•0278
•0939
•2371
•4976
•9155
7
•0007
•0049
•0191
•0544
•1279
•2616
8
•0001
•0008
•0034
•0109
•0284
•0642
9
•0001
•0005
•0019
•0054
•0132
10
•0001
•0003
•0009
•0024
11
—
—
—
•0001
•0003
12
—
—
—
—
—
•0000
13, 14, 15
—
—
—
—
—
—
Probable Occurrences in Second Small Samples 95
TABLE XLVIII— (continued).
Successes
p =
p=l
p = 2
p=3
p = i
p=5
n = 50l
«j = 20| 1
71-8310
51-3078
36-4360
25-7195
18-0421
12-5748
20-5231
29-7437
32-1494
30-7099
27-3365
23-2150
S
5-6513
12-4661
18-2340
22-1018
23-9720
24-1218
S
1-4959
4-4G55
8-2882
12-2410
15-7316
18-3785
4
•3796
1-4377
3-2515
5-6902
8-4901
11-3384
6
•0920
•4247
1-1380
2-3122
3-9438
5-9480
6
•0212
•1161
•3613
■8391
1-6163
2-7262
7
•0046
•0295
•1049
•2751
•5926
1-1089
8
■0010
•0070
•0279
•0820
•1959
•4039
9
•0002
•0015
•0068
•0222
•0585
•1323
10
•0000
•0003
•0015
•0055
•0158
•0390
11
—
•0001
•0003
•0012
•0039
•0103
IS
—
—
•0001
•0002
•0008
•0024
IS
—
—
—
•oooo
•0002
•0005
14
—
—
—
—
•oooo
•0001
15— SO
—
—
—
—
—
•oooo
w=50|
fn=25( 1
67-1053
44-7368
29-6230
19-4782
12-7149
8-2378
22-3684
30-2276
30 4346
27-0530
22-3854
17-6525
2
7-2546
14-9068
20-2898
22-8617
23 0250
21-4900
3
2-2857
6-3492
10-9546
15-0234
17-9083
19-3831
4
•6984
2-4592
5-1643
8-3826
11-5877
14-3204
6
•2066
•8853
2-2004
4-1420
6-5376
9-1130
6
•0590
•2994
•8629
1-8546
3-3018
5-1406
7
•0163
•0956
■3146
•7627
1-5167
2-6162
8
•0043
•0289
•1073
•2904
•6398
1-2147
9
•0011
•0083
■0343
•1029
•2494
•5181
10
•0003
•0022
•0103
•0340
•0901
•2038
11
•0001
•0006
•0029
- -0105
•0302
•0741
IS
•0000
■0001
•0008
■0030
•0094
•0249
IS
•oooo
•0000
•0002
■0008
•0027
•0077
u
—
•oooo
•oooo
•0002
•0007
•0022
15
—
—
■oooo
•oooo
•0002
•0006
16
—
—
—
•oooo
•oooo
•0001
17
—
—
—
•oooo
•OOOO
18—25
—
—
—
—
—
•OOOO
n = 50|
50-4950
25-2475
12-4963
6-1206
2-9657
1-4210
m = 50f 1
25-2475
25-5026
19-1269
12-6198
7-7231
4-4875
S
12-4963
19-1269
19-3241
16-1034
11-9504
8-1873
s
6-1206
12-6198
16-1034
16-2729
14-2388
11-2686
4
2-9657
7-7231
11-9504
14-2388
14-3919
12-9527
5
1-4210
4-4875
8-1873
11-2686
12-9527
130951
6
•6731
2-5063
5-2821
8-2677
106753
12-0038
7
•3151
1-3552
3-2480
5-7108
8-2014
10-1734
8
•1457
•7126
1-9185
3-7517
5-9437
8-0780
9
•0665
•3654
1-0942
2-3606
4-0975
6-0662
10
•0300
•1831
•6049
1-4298
2-7034
4 3381
11
0133
•0898
•3250
•8367
1-7147
2 9694
IS
•0058
•0431
•1699
■4743
1-0490
1-9531
IS
•0025
•0203
•0866
•2610
•6205
1-2381
14
•0011
•0093
•0431
•1396
•3557
•7582
15
•0004
•0042
•0209
•0726
•1978
•4493
16
•0002
•0019
•0099
•0368
■1068
•2580
17
•0001
•0008
•0046
•0182
•0561
•1437
18
—
•0003
•0021
•0088
•0286
•0777
19
—
•0001
•0009
•0041
•0142
•0408
SO
—
—
•0004
•0019
■0069
■0208
SI
—
—
•0002
•0008
•0032
•0103
S3
—
—
•0001
•0004
■0015
•0050
S3
—
—
—
•0002
•0007
•0023
S4
—
—
—
•0001
•0003
•0010
S5
—
—
—
•oooo
■0001
•0005
S6
—
—
—
—
■oooo
•0002
S7
—
—
•oooo
•0001
28—50
—
—
—
—
—
•oooo
96
Tables for Statisticians and Biometricians
Successes
?t=100l
m= 10 1 1
5
6
7
8
9
10
TABLE XLVIII — {continued). Percentage Frequency of Successes in a Second
Sample "m" after drawing " p" Successes in a First Sample " n".
p=0
90-9910
8-2719
•6830
•0506
•0033
•0002
•0000
p = l
82-7191
15-1778
1 -8972
•1891
•0156
•0011
•0001
•oooo
j, = 2
75-1302
20-8695
3-5107
•4416
•0442
•0036
•0002
■0000
2>=3
68-1737
25-4855
5-4097
■8243
•0971
•0090
•0007
•0000
p=i
61-8023
29-1520
7-4962
1-3455
■1829
•0194
•0016
•0001
•0000
p = 5
55-9719
31-9839
9-6874
2-0065
■3098
•0368
•0034
•0002
•0000
P
50
34
11
■6412
•0855
•9134
•8031
■4857
•0641
•0065
0005
•0300
P
45
35
14
3
= 7
•7719
•5510
•1158
■7269
•7174
•1044
•0115
•0010
•0001
•0000
41-3280
36 4659
162472
4-7658
1-0109
•1609
•0194
•0017
•0001
•0000
p-^
37-2763
36-9072
18-2690
5-9052
1-3708
•2374
•0309
•0030
•0002
•0000
2) = 10
1
2
8
J>
5
6
7
8
9
10
•5855
•9441
•1513
•1284
•8005
•3376
•0474
■0049
•0003
■0000
p = 15
19-6056
33-0200
26-8727
13-8698
5-0127
1-3220
•2571
•0363
•0036
•0002
•0000
p = 20
11-0992
25-8982
28-8081
20-0784
9-6930
3-3813
•8619
•1583
•0200
■0015
•0001
p = 25
6'0712
18-5708
26-8613
24-1644
14-9554
6-6468
2-1464
•4968
•0788
•0077
•0004
p-30 p = S5
3-1945
12-3788
22-5639
25-4567
19-6711
10-8709
4-3483
1-2424
•2425
•0292
•0017
1
7
17
24
28
1",
7
•6083
•7198
•3696
•1112
•8554
■4516
■5418
■6232
•6221
•0908
•0062
p = 40
•7697
4-5082
12-3485
20-8229
23-9308
19-5797
11-5470
4-8456
1-3845
•2432
•0199
p = 45
•3473
2-4580
8-1229
16-5036
22-8255
22-4513
15-9030
8-0093
2-7446
•5778
•0567
p = o0
•1463
1-2434
4-9313
12-0167
19-9224
23-4799
19-9224
12-0167
4-9313
1-2434
•1463
Successes
m=100I
»i= 5 1 1
2
S
4
5
n = 100|
m= 15 (
8
■4
5
6
7
8
9
10
11—15
p =
95-2830
4-5373
•1745
•0051
•0001
•0000
87-0690
11-3568
1-3947
•1604
•0172
•0017
•0002
•0000
p=l
90-7457
8-7256
•5083
•0199
•0005
•0000
p = 1
•7121
•9243
•7027
•5730
•0774
•0093
•0010
•0001
•oooo
3830
5800
9867
0488
0015
0000
7500
1836
5459
2777
2091
0295
0037
0004
0000
y = 3
82-1896
16-1156
1-5956
•0957
•0034
•0001
•0221
•5476
•6321
•2767
•4386
•0715
•0100
•0012
•0001
•oooo
p = 4
TO-1607
19-3467
2-3216
•1642
•0067
•0001
49-3852
33-3684
12-7407
3-5456
•7879
•1458
•0229
•0031
•0004
•0000
2> = 5
74-2914
22-2874
3-1517
•2573
•0119
•0003
•7116
•9458
•7096
■0426
•2724
•2641
•0461
•0068
■0009
•0001
•0000
p = 6
70-5768
24-9514
4-0737
•3780
•0197
•0004
36-8873
35-5336
18-4248
6-7156
1-9006
•4381
•0842
•0137
■0019
■0002
•0000
j) = 7
67-0123
27-3520
5-0756
•5287
•0306
•0008
31-8110
35-3456
20-8110
8-5076
2 6738
•6787
•1428
•0252
•0037
•0005
•0001
•0000
p = 8
63-5933
29-5020
61463
•7117
•0454
•0013
27-3928
34-5611
22-8233
10-3611
3-5865
•9959
•2278
•0435
•0070
•0009
•0001
•0000
p = 9
60-3153
31-4142
7-2749
•9287
0649
•0020
23-5527
333293
24-4415
12-2207
4-6273
1-3973
•3459
•0711
•0122
•0017
•0002
•0000
p = 10
57-1739
33-1007
8-4512
1-1813
•0899
•0030
20-2198
31-7739
25-6636
14-0361
5-7796
1-8884
•5036
■1112
•0204
•0031
•0004
■OOOO
= 1001
» 20 j
8
1 1
0)
8
5
6
7
8
9
10
11
n
13— SO
•4711
•9119
•2212
•3388
•0492
•0068
•0009
•0001
■OOOO
5592
57-8686
3813
29-4247
6472
9-5567
1584
2-4716
2122
•5480
0354
•1077
0054
•0191
0008
•0031
0001
•0004
OOOO
•0001
—
•oooo
46
32
13
4
1
•0604
39-
•8618
34-
•4563
17-
•2124
6-
•0993
1-
•2490
•0500
•0090
1
•0015
•
•0002
•
•oooo
•
•
•8449
•3491
•0252
■2724
■8873
•4853
•1093
•0219
■0039
•0006
•0001
•OOOO
32-9751
34-4088
20-0718
8-5261
2-9118
•8394
•2099
•0462
•0090
•0016
•0002
•OOOO
27-2403
33-4530
22-4994
10-8479
4-1535
1-3291
•3658
•0881
■0187
•0035
•0006
•0001
•OOOO
22-4613
31-8036
24-2787
13-1236
5-5775
1-9649
•5913
•1547
•0356
•0072
•0013
•0002
•OOOO
18-4859
29-7094
25-4270
15-2562
7-1382
2-7495
•8994
•2545
•0630
•0137
•0026
•0005
•0001
•OOOO
15-1848
27-3600
25-9920
17-1690
8-7832
3-6775
1-3010
•3965
•1053
•0245
•0050
•0009
•0001
•OOOO
12-4488
24-8976
26-0397
18-8065
10-4578
4-7356
1-8040
•5898
•1675
•0416
•0091
•0017
•0003
■OOOO
Probable Occurrences in Second Small Samples 97
TABLE XLVIII— (continued).
Successes
»=100(
m= 25 j
so
le
3
4
5
6
7
£
.9
10
11
12
IS
u
15—25
p=0
■1587
0317
•1029
•5802
•1046
•0182
•0030
•0005
•0001
•0000
7=1
p = 3
P = i
p = 5
j> = 6
•1270
51-1981
40-7920
32-4330
25-7320
20-3711
•8576
31-2184
33-4361
33-5052
32-1649
29-9575
•5681
12-2826
16-5799
20-1031
22-7047
24-3723
•9024
3-8912
6-3556
9-0661
11-8013
14-3734
•4323
1-0701
2-0562
3-3806
4-9929
6-8150
•0908
•2644
•5855
1-0922
1-8077
2-7378
•0178
•0597
•1501
•3138
•5764
•9606
•0033
•0125
•0351
•0815
•1647
•3000
•0005
•0024
•0075
•0193
•0426
•0844
0001
•0004
•0015
•0042
•0100
•0215
0000
•0001
•0003
•0008
•0022
•0050
, —
•0000
•0001
■0001
■0004
•0011
—
_
•0000
•0000
•0001
•0002
—
—
—
—
•oooo
•oooo
p = 7
if;
-27
SB
Ifi
8
a
l
p=i
p = 9
•0915
12-6823
9-9724
7-
•2737
24-3890
21-4922
18-
•1757
25-2300
24-6693
23-
•6391
18-5020
19-9086
20-
•7536
10-7117
12-5970
14-
•8700
5-1757
6-6134
8-
•4841
2-1565
2-9790
3-
•5035
•7910
1-1761
I-
•1531
•2589
•4127
•
•0421
•0763
•1299
•
•0105
•0203
•0369
•(
•0024
•0049
•0095
•(
•0005
•0011
•0022
1
•0001
•0002
■0005
•(
•oooo
•oooo
■0001
•
—
—
•oooo
•1
p = 10
•8232
■7076
•6306
•8423
•3291
•1327
•9431
•6693
•6260
•2099
•0634
•0173
•0043
•0009
•0002
•OOOO
« = 100l
m= 50)
1
2
S
k
6
6
7
S
9
10
11
12
IS
H
15
16
17
18
19
Slf—50
66-8874
44 ■
22-2958
29-
7 3322
14-
2-3780
6-
•7603
2-
•2396
•
•0743
•0227
•0068
•(
•0020
•(
•0006
•1
•0002
•(
—
■i
•i
■5916
•9273
•8625
•4708
•6038
•9912
•3614
•1271
•0433
•0143
•0046
•0014
•0004
•0001
29-6280
30-0284
20-0189
10-9693
5-3333
2-3852
1-0008
•3987
•1520
•0557
•0197
•0068
•0022
•0007
•0002
•0001
19-6185
12
9456
8
5121
5'5769
3-
26-6919
22
1671
17
6113
13-5550
10-
22 3956
22
4728
20
9746
18-5789
15'
14-8274
17
4789
18
7745
18-8406
17-
8-4691
11
4896
13
9817
15-7005
16-
4-3589
6
6996
9
1228
11-3492
13-
2-0720
3
5636
5
3759
7-3484
9-
•9237
1
7600
2
9173
4-3512
5-
•3901
8167
1
4771
2-3900
3-
•1572
3590
7044
1-2301
1-
•0607
1504
3185
•5978
1-
•0226
0603
1373
•2758
>
■0081
0232
0566
•1213
•
•0028
0086
0224
•0510
•0009
0031
0085
•0206
•(
•0003
0011
0031
•0080
•(
•0001
0004
0011
•0030
•(
—
0001
•0004
•0011
•1
—
•0001
•0004
•<
—
—
—
•0001
6405
2-3676
1832
7-5029
8126
13-0370
9434
16-3894
5656
16-6252
■1572
14-4085
2958
11-0430
9710
7-6559
5398
4-8771
9578
2-8874
0184
1-6022
5012
•8386
2345
•4161
1046
•1965
0447
•0886
0183
•0382
0072
•0158
0027
•0063
0010
•0024
0003
■0009
0001
•0003
—
•0001
1
5
10
14
18
15
12
6
3
2
1
•5339
•4395
•4710
■4635
•0095
•0512
•4505
•2753
•3248
■9946
■3574
•3088
•6871
•3425
•1627
•0738
•0320
•0133
■0053
•0020
•0008
•0003
•0001
•9900
•8892
•2261
•3988
•8876
•1066
•4281
•7081
•7895
•2324
•2752
■9239
•0664
•5601
•2797
•1332
•0606
•0264
•0110
•0044
•0017
•0006
•0002
•0001
13
98
1—250
Tables for Statisticians and Biometricians
TABLE XLIX. Logarithms of Factorials.
log \n from n— 1 to n = 1000.
n
log[n
1
•000 0000
S
•301 0300
S
•778 1513
4
1-380 2112
5
2079 1812
6
2-857 3325
7
3-702 4305
8
4-605 5205
9
5-559 7630
10
6-559 7630
11
7-601 1557
IS
8-680 3370
IS
9-794 2803
H
10-940 4084
15
12-116 4996
16
13-320 6196
17
14-551 0685
18
15-806 3410
19
17-085 0946
SO
18-386 1246
SI
19-708 3439
22
21-050 7666
S3
22-412 4944
21>
23-792 7057
25
25190 6457
26
26-605 6190
27
28-036 9828
28
29-484 1408
29
30 946 5388
SO
32-423 6601
SI
33915 0218
S2
35-420 1717
S3
36-938 6857
94
38-470 1646
S5
40014 2326
36
41-570 5351
37
43-138 7369
38
44-718 5205
39
46-309 5851
40
47-911 6451
41
49-524 4289
42
51-147 6782
43
52-781 1467
44
54-424 5993
45
56077 8119
46
57-740 5697
47
59-412 6676
48
61-093 9088
49
62-784 1049
50
64183 0749
n
log|n
51
66-190 6450
5S
67-906 6484
53
69-630 9243
54
71-363 3180
55
73-103 6807
56
74-851 8687
57
76-607 7436
58
78-371 1716
59
80-142 0236
60
81-920 1748
61
83-705 5047
6S
85-497 8964
63
87-297 2369
64
89-103 4169
65
90-916 3303
66
92-735 8742
67
94-561 9490
68
96-394 4579
69
98-233 3070
70
100-078 4050
71
101-929 6634
7S
103-786 9959
73
105-650 3187
74
107-519 5505
75
109-394 6117
76
111-275 4253
77
113-161 9160
78
115-054 0106
79
116-951 6377
80
118-854 7277
81
120-763 2127
82
122-677 0266
83
124-596 1047
84
126-520 3840
85
128-449 8029
86
130-384 3013
87
132-323 8206
88
134-268 3033
89
136-217 6933
90
138171 9358
91
140-130 9772
92
142-094 7650
9S
144-063 2480
94
146-036 3758
95
148-014 0994
96
149-996 3707
97
151-983 1424
98
153-974 3685
99
155-970 0037
100
157-970 0037
n
log 1 n
101
159-974 3250
102
161-982 9252
103
163-995 7624
104
166-012 7958
105
168-033 9851
106
170-059 2909
107
172-088 6747
108
174-122 0985
109
176-159 6250
no
178-200 9176
111
180-246 2406
112
182-295 4586
US
184348 5371
114
186-405 4419
115
188-466 1398
116
190-530 5978
117
192-598 7836
118
194-670 6656
119
196-746 2126
120
198-825 3938
121
200-908 1792
122
202-994 5390
1SS
205-084 4442
1S4
207-177 8658
1S5
209-274 7759
126
211-375 1464
127
213-478 9501
128
215-586 1601
129
217-696 7498
ISO
219-810 6932
1S1
221-927 9645
1S2
224-048 5384
133
226-172 3900
1S4
228-299 4948
1S5
230-429 8286
1S6
232-563 3675
137
234-700 0881
138
236-839 9672
139
238-982 9820
140
241-129 1100
141
243-278 3291
142
245-430 6174
143
247-585 9535
144
249-744 3160
145
251-905 6840
146
254-070 0368
147
256237 3542
148
258-407 6159
149
260580 8022
150
262-756 8934
n
log|n
151
264-935 8704
152
267-117 7139
153
269-302 4054
154
271-489 9261
155
273-680 2578
156
275-873 3824
157
278-069 2820
158
280-267 9391
159
282-469 3363
160
284-673 4562
161
286-880 2821
162
289-089 7971
16S
291-301 9847
164
293-516 8286
165
295-734 3125
166
297-954 4206
167
300-177 1371
168
302-402 4464
169
304-630 3331
170
306-860 7820
171
309-093 7781
17S
311-329 3066
17S
313-567 3527
174
315-807 9019
175
318-050 9400
176
320-296 4526
177
322-544 4259
178
324-794 8459
179
327-047 6989
180
329-302 9714
181
331-560 6500
18S
333820 7214
183
336-083 1725
184
338-347 9903
185
340-615 1620
186
342-884 6750
187
345-156 5166
188
347-430 6744
189
349-707 1362
190
351-985 8898
191
354-266 9232
192
356-550 2244
198
358-835 7817
194
361123 5835
195
363-413 6181
196
365-705 8742
197
368000 3404
198
370-297 0056
199
372595 8586
200
374-896 8886
S05
206
207
208
209
210
Sll
214
216
217
S18
219
224
225
230
235
236
237
SS8
SS9
24S
S44
S45
S47
log|n
377-200 0847
379-505 4361
381-812 9321
384122 5623
386-434 3161
388-748 1834
391-064 1537
393382 2170
395-702 3633
398-024 5826
400-348 8651
402-675 2009
405-003 5805
407-333 9943
409-666 4328
412-000 8865
414-337 3463
416675 8027
419-016 2469
421-358 6695
423-703 0618
426-049 4148
428-397 7197
430-747 9677
433-100 1502
435-454 2586
437-810 2845
440-168 2193
442-528 0548
444-889 7827
447-253 3946
449-618 8826
451-986 2385
454-355 4544
456-726 5223
459099 4343
461-474 1826
463-850 7596
466-229 1575
468-609 3687
470-991 3857
473-375 2011
475-760 8074
478-148 1972
480-537 3633
482-928 2984
485-320 9954
487-715 4470
490-111 6464
492-509 5864
Logarithms of Factorials
TABLE XLIX— {continued).
99
251—500
logl"
251
252
25S
254
255
256
257
258
259
260
261
262
26S
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
281
282
283
284
285
287
291
296
297
298
299
300
494-909 2601
497-310 (5607
499-713 7812
502-118 6149
504-525 1551
506933 3950
509-343 3282
511-754 9479
514-168 2476
516-583 2210
518-999 8615
521-418 1628
523-838 1185
526-259 7225
528-682 9683
531-107 8500
533-534 3612
635-962 4960
538-392 2483
540-823 6121
543-256 5814
545-691 1503
548-127 3129
550-565 0635
553004 3962
555-445 3052
557-887 7850
560331 8298
562-777 4340
565-224 5920
567-673 2984
570-123 5475
572-575 3339
575028 6523
577-483 4971
579-939 8631
582-397 7450
584-857 1375
587-318 0354
589-780 4334
592-244 3264
594-709 7092
597-176 5768
599-644 9242
602-114 7462
604-586 0379
607-058 7943
609-533 0106
612-008 6818
614-485 8030
n
log [«
301
616-964 3695
302
619-444 3765
SOS
621-925 8191
304
624-408 6927
305
626-892 9925
306
629-378 7140
307
631-865 8523
308
634-354 4031
309
636-844 3615
310
639335 7232
311
641-828 4836
312
644-322 6382
313
646-818 1825
314
649-315 1122
315
651813 4227
316
654-313 1098
317
656-814 1691
318
659-316 5962
319
661820 3869
820
664-325 5369
321
666-832 0419
S22
669-339 8978
S2S
671-849 1003
324
674-359 6453
325
676-871 5287
326
679-384 7463
327
681-899 2940
328
684-415 1679
329
686-932 3638
330
689-450 8777
331
691-970 7057
332
694-491 8438
338
697-014 2880
334
699-538 0345
335
702063 0793
836
704-589 4186
337
707-117 0485
S38
709-645 9652
839
712-176 1649
340
714-707 6438
841
717-240 3982
842
719-774 4243
843
722-309 7184
344
724-846 2768
845
727-384 0959
846
729-923 1720
847
732-463 5015
S48
735-005 0807
349
737-547 9062
350
740091 9742
n
log [n
851
742-637 2813
352
745-183 8240
853
747-731 5987
354
750-280 6020
855
752-830 8303
856
755-382 2803
357
757-934 9485
858
760-488 8316
359
763043 9260
360
765-600 2285
861
768-157 7357
S62
770-716 4443
363
773-276 3509
S64
775-837 4523
865
778-399 7452
866
780-963 2262
867
783-527 8923
368
786-093 7401
369
788-660 7665
870
791-228 9682
S71
793-798 3421
872
796-368 8851
878
798-940 5939
874
801-513 4655
875
804-087 4968
376
806-662 6846
377
809-239 0260
378
811-816 5178
879
814-395 1570
380
816-974 9406
881
819-555 8655
882
822-137 9289
383
824-721 1277
884
827-305 4589
385
829-890 919G
886
387
S88
889
390
391
392
S9S
394
395
396
397
898
399
400
832-477 5069
835065 2179
837-654 0496
840-243 9992
842-835 0638
845-427 2406
848-020 5267
850-614 9192
853-210 4154
855-807 0125
858-404 7077
861-003 4982
863-603 3813
866-204 3542
868-806 4142
n
log|n
401
871-409 5586
402
874-013 7846
403
876-619 0896
404
879-225 4710
405
881-832 9260
406
884-441 4521
407
887051 0465
408
889-661 7066
409
892-273 4300
410
894-886 2138
411
897-500 0556
412
900-114 9528
413
902-730 9029
414
905-347 9032
415
907-965 9513
416
910-585 0447
417
913-205 1807
418
915826 3570
419
918-448 5710
420
921-071 8203
421
923-696 1024
422
926-321 4149
42s
928-947 7552
m
931-575 1211
425
934-203 5100
426
936-832 9196
427
939463 3475
428
942-094 7913
429
944-727 2486
430
947-360 7170
431
949-995 1943
432
952-630 6780
433
955-267 1659
434
957-904 6557
435
960-543 1449
436
963-182 6314
437
965-823 1128
438
968-464 5869
439
971-107 0515
440
973-750 5041
441
976-394 9427
443
979040 3650
443
981-686 7687
444
984-334 1517
445
986-982 5117
446
989-631 8466
447
992-282 1541
448
994-933 4321
449
997585 6784
450
1000-238 8910
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
m
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
13—2
log |n
1002-893 0675
1005-548 2059
1008-204 3041
1010-861 3600
1013-519 3714
1016-178 3362
1018-838 2524
1021-499 1179
1024-160 9306
1026-823 6884
1029-487 3893
1032-152 0313
1034-817 6123
1037484 1303
1040-151 5832
1042-819 9692
1045-489 2860
1048159 5319
1050-830 7047
1053-502 8026
1056-175 8235
1058-849 7655
1061-524 6266
1064-200 4050
1066-877 0986
1069-554 7056
1072-233 2239
1074-912 6518
1077-592 9873
1080-274 2286
1082-956 3737
1085-639 4207
1088323 3678
1091-008 2132
1093-693 9549
1096-380 5912
1099068 1202
1101-756 5400
1104-445 8488
1107-136 0449
1109-827 1264
1112-519 0915
1115-211 9384
1117-905 6654
1120-600 2706
1123-295 7523
1125-992 1086
1128-689 3380
1131-387 4385
1134-086 4085
100
501—750
Tables for Statisticians and Biometricians
Table of log \n from n = \ to n = 1000.
n
501
log|n_
1136-786 2463
502
1139-486 9500
503
1142-188 5180
504
1144-890 9485
505
1147-594 2399
506
1150-298 3904
507
1153-003 3984
508
1155-709 2621
509
1158-415 9798
510
1161-123 5500
511
1163-831 9709
512
1166-541 2409
513
1169-251 3583
514
1171-962 3214
515
1174-674 1286
516
1177-386 7783
517
1180-100 2C88
518
1182-814 5986
519
1185-529 7660
520
1188-245 7693
521
1190-962 6070
522
1193-680 2775
523
1196-398 7792
524
1199-118 1105
525
1201-838 2698
526
1204-559 2556
527
1207-281 0862
528
1210-003 7001
529
1212-727 1558
530
1215-451 4316
531
1218-176 5262
532
1220-902 4378
5SS
1223-629 1650
534
1226-356 7063
535
1229-085 0600
536
1231-814 2248
537
1234-544 1991
538
1237-274 9814
539
1240-006 5702
540
1242-738 9639
541
1245-472 1612
542
1248-206 1605
543
1250-940 9603
544
1253-676 5592
545
1256-412 9557
546
1259-150 1483
547
1261-888 1357
548
1264-626 9162
549
1267-366 4886
550
1
1270-106 8513
n
log[re_
551
1272-848 0029
552
1275-589 9419
558
1278-332 6671
554
1281-076 1768
555
1283-820 4698
556
1286-565 5446
557
1289-311 3998
558
1292-058 0340
559
1294-805 4458
560
1297-553 6338
561
1300-302 5967
562
1303-052 3330
563
1305-802 8414
564
1308-554 1205
565
1311-306 1690
566
1314-058 9854
567
1316-812 5684
568
1319-566 9168
569
1322-322 0290
570
1325-077 9039
571
1327-834 5400
572
1330-591 9360
578
1333-350 0907
574
1336-109 0026
575
1338-868 6704
576
1341-629 0929
577
1344-390 2687
578
1347-152 1965
579
1349-914 8751
580
1352-678 3031
581
1355-442 4792
582
1358-207 4022
588
1360-973 0708
584
1363-739 4836
585
1366-506 6395
586
1369-274 5371
587
1372-043 1752
588
1374-812 5525
589
1377-582 6678
590
1380-353 5198
591
1383-125 1073
592
1385-897 4290
593
1388-670 4837
594
1391-444 2702
595
1394-218 7871
596
1396-994 0334
597
1399-770 0077
598
1402-546 7089
599
1405-324 1357
600
1408-102 2870
n
601
log[n
1410-881 1614
602
1413-660 7579
60S
1416-441 0752
604
1419-222 1122
605
1422-003 8676
606
1424-786 3402
607
1427-569 5289
608
1430-353 4324
609
1433-138 0497
610
1435-923 3796
611
1438-709 4208
en
1441-496 1722
618
1444-283 6327
614
1447-071 8011
615
1449-860 6762
616
1452-650 2569
617
1455-440 5420
618
1458-231 5305
619
1461-023 2212
620
1463-815 6129
621
1466-608 7045
622
1469-402 4948
623
1472-19G 9829
624
1474-992 1675
625
1477-788 0475
626
1480-584 6218
627
1483-381 8894
628
1486-179 8490
629
1488-978 4997
630
1491-777 8402
631
1494-577 8696
632
1497-378 5866
633
1500-179 9904
634
1502-982 0796
635
1505-784 8533
636
1508-588 3105
687
1511-392 4499
688
1514-197 2706
639
1517-002 7714
640
1519-808 9514
641
1522-615 8094
042
1525-423 3445
64S
1528-231 5554
644
1531-040 4413
645
1533-850 0010
646
1536-660 2335
ft+7
1539-471 1378
648
1542-282 7128
649
1545-094 9575
050
1547-907 8709
n
log [n
651
1550-721 4519
652
1553-535 6995
653
1556-350 6126
654
1559-166 1904
655
1561-982 4317
656
1564-799 3355
657
1567-616 9009
658
1570-435 1268
659
1573-254 0122
660
1576-073 5561
661
1578-893 7576
662
1581-714 6156
663
1584-536 1291
664
1587-358 2972
665
1590-181 1188
666
1593-004 5931
667
1595-828 7189
668
1598-653 4954
669
1601-478 9215
670
1604-304 9963
671
1607-131 7188
672
1609-959 0881
673
1612-787 1031
674
1615-615 7630
675
1618-445 0668
676
1621-275 0135
677
1624-105 6022
078
1626-936 8319
679
1629-768 7016
680
1632-601 2106
681
1635-434 3577
682
1638-268 1420
683
1641-102 5627
684
1643-937 6189
685
1646-773 3094
686
1649-609 6335
687
1652-446 5903
688
1655-284 1787
689
1658-122 3979
690
1660-961 2470
691
1663-800 7251
69%
1666-640 8312
699
1669-481 5644
694
1672-322 9239
695
1675-164 9087
696
1678-007 5179
697
1680-850 7507
698
1683-694 6061
699
1686 539 0833
700
1689-384 1813
n
log \n
701
1692-229 8994
702
1695-070 2365
708
1697-923 1918
704
1700-770 7644
705
1703-618 9536
706
1706-467 7583
707
1709-317 1777
708
1712-167 2109
709
1715-017 8572
710
1717-869 1155
711
1720-720 9851
712
1723-573 4651
713
1726-426 5546
714
1729-280 2529
715
1732-134 5589
716
1734-989 4719
717
1737-844 9911
718
1740-701 1155
719
1743-557 8444
720
1746-415 1769
721
1749-273 1122
722
1752-131 6494
723
1754-990 7877
724
1757-850 5262
725
1760-710 8642
726
1763-571 8009
7*7
1766-433 3353
728
1769-295 4667
729
1772-158 1942
730
1775-021 5170
731
1777-885 4344
732
1780-749 9455
733
1783-615 0495
734
1786-480 7455
735
1789-347 0329
736
1792-213 9107
737
1795-081 3782
738
1797 949 4345
739
1800-818 0790
740
1803687 3107
741
1806-557 1289
74'2
1809-427 5328
743
1812-298 5216
744
1815-170 0946
745
1818-042 2508
746
1820-914 9897
lift
1823-788 3103
748
1826-662 2119
749
1829-536 6937
750
1832-411 7549
Logarithms of Factorials
TABLE XLIX— (continued).
101
751—1000
751
752
75S
75\
755
75G
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774,
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
\!L
1835-287 3949
1838-163 6127
1841-040 4077
1843-917 7790
1846-795 7260
1849-674 2478
1852-553 3437
1855-433 0129
1858-313 2546
1861-194 0682
1864-075 4529
1866-957 4079
1869-839 9324
1872-723 0258
1875-606 6872
1878-490 9160
1881-375 7113
1884-261 0726
1887-146 9989
1890-033 4896
1892-920 5440
1895-808 1613
1898-696 3408
1901-585 0817
1904-474 3835
1907-364 2452
1910-254 6662
1913-145 6458
1916-037 1832
1918-929 2778
1921-821 9289
1924-715 1356
1927-608 8974
1930-503 2135
1933-398 0831
1936-293 5057
1939-189 4804
1942-086 0066
1944-983 0836
1947-880 7107
1950-778 8872
1953-677 6124
1956-576 8856
1959-476 7061
1962-377 0732
1965-277 9863
1968-179 4440
1971-081 4475
1973-983 9943
1970-887 0842
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
8S9
840
841
842
843
844
846
847
848
849
850
log I"
1979-790 7168
1982-694 8911
1985-599 6067
1988-504 8627
1991-410 6586
1994-316 9936
1997-223 8672
2000-131 2785
2003-039 2271
2005-947 7121
2008-856 7329
2011-766 2890
2014-676 3795
2017-587 0039
2020-498 1615
2023-409 8517
2026-322 0737
2029-234 8270
2032-148 1109
2035-061 9248
2037-976 2679
2040-891 1398
2043-806 5396
2046-722 4008
2049 638 9208
2052-555 9008
2055-473 4063
2058-391 4367
2061-309 9912
2064-229 0693
2067-148 6703
2070-068 7936
2072-989 4386
2075-910 6047
2078-832 2912
2081-754 4974
2084-677 2229
2087-600 4669
2090-524 2289
2093-448 5082
2096-373 3042
2099-298 6162
2102-224 4438
2105-150 7863
2108-077 6430
2111-005 0133
2113-932 8967
2116-861 2926
2119-790 2003
2122-719 6192
n
log [»_
851
2125-649 5488
852
2128-579 9884
853
2131-510 9374
854
2134-442 3953
855
2137-374 3614
856
2140-306 8352
857
2143-239 8160
858
2146-173 3033
859
2149-107 2964
860
2152-041 7949
861
2154-976 7980
862
2157-912 3053
863
2160-848 3161
864
2103-784 8298
865
2166-721 8459
866
2169-659 3638
867
2172-597 3829
868
2175-535 9027
869
2178-474 9224
870
2181-414 4417
871
2184-354 4598
872
2187-294 9763
873
2190-235 9906
874
2193-177 5020
875
2196-119 5101
876
2199-062 0142
877
2202-005 0138
878
2204-948 5083
879
2207-892 4971
880
2210-836 9798
881
2213-781 9557
882
2216-727 4243
883
2219-673 3850
884
2222-619 8373
885
2225-566 7805
886
2228-514 2143
887
2231-462 1379
888
2234-410 5509
889
2237-359 4526
890
2240-308 8426
891
2243-258 7203
892
2246-209 0852
893
2249-159 9366
894
2252-111 2742
895
2255-063 0972
896
2258-015 4052
897
2260-968 1976
898
2263-921 4740
899
2266-875 2337
900
2269-829 4762
n
log \n
901
2272-784 2010
902
2275-739 4075
903
2278-695 0953
904
2281-651 2637
905
2284-607 9123
906
2287-565 0405
907
2290-522 6478
908
2293-480 7336
909
2296-439 2975
910
2299-398 3389
911
2302-357 8573
912
2305-317 8521
913
2308-278 3229
914
2311-239 2691
915
2314-200 6902
916
2317-162 5856
917
2320-124 9550
918
2323-087 7977
919
2326-051 1132
920
2329-014 9010
921
2331-979 1606
922
2334-943 8915
923
2337-909 0932
924
2340-874 7652
925
2343-840 9069
926
2346-807 5179
927
2349-774 5977
928
2352-742 1456
929
2355-710 1614
930
2358-678 6443
931
2361-647 5940
932
2364-617 0099
983
2367-586 8915
934
2370-557 2384
935
2373-528 0500
936
2376-499 3259
937
2379-471 0655
938
2382-443 2683
989
2385-415 9339
940
2388-389 0618
941
2391-302 6514
942
2394-336 7023
943
2397-311 2140
944
2400-286 1860
945
2403-261 6178
946
2406-237 5089
947
2409-213 8589
948
2412-190 6672
949
2415-167 9334
950
2418-145 6570
n
log[n
951
2421-123 8376
952
2424-102 4745
953
2427-081 5674
954
2430-061 1158
955
2433-041 1192
956
2436-021 5771
957
2439-002 4890
958
2441-983 8545
959
2444965 6731
960
2447-947 9443
961
2450-930 6677
962
2453-913 8428
963
2456-897 4691
964
2459-881 5461
965
2462-866 0734
966
2465-851 0500
967
2408-836 4770
968
2471-822 3524
969
2474-808 6762
970
2477-795 4479
971
2480-782 6671
972
2483770 3334
973
2486-758 4462
974
2489-747 0052
975
2492-736 0098
976
2495-725 4596
977
2498-715 3542
978
2501-705 6930
979
2504-696 4757
980
2507-687 7018
981
2510-679 3708
982
2513-071 4823
983
2510-004 0358
984
2519-657 0309
985
2522-650 4672
986
2525-644 3441
987
2528-638 6612
988
2531-633 4182
989
2534-628 6145
990
2537-624 2497
991
2540-620 3233
992
2543-616 8350
993
2546-613 7842
994
2549-611 1706
995
2552-608 9937
996
2555-607 2530
997
2558-605 9482
998
2561-605 0787
999
2564-604 6442
1000
2567-004 6442
102
Tables for Statisticians and Blotnetrlclans
TABLE L. Table of Fourth-Moments of Subgroup-Frequencies.
Ordinate 2 — 11. Frequency 1 — 50.
n
«a]
3 = 3
X = i
x = 5
s = 6
x = 7
x = 8
x=9
a=ll
n
1
16
81
256
625
1296
2401
4096
6561
14641
1
2
32
162
512
1250
2592
4802
8192
13122
29282
2
S
48
243
768
1875
3888
7203
12288
19683
43923
S
4
64
324
1024
2500
6184
9604
16384
26244
58564
4
5
80
405
1280
3125
6480
12005
20480
32805
73205
5
6
96
486
1536
3750
7776
14406
24576
39366
87846
6
7
112
567
1792
4375
9072
16807
28672
45927
102487
7
8
128
648
2048
5000
103G8
19208
32768
52488
117128
8
9
144
729
2304
5625
11664
21609
36864
59049
131769
9
10
160
810
2560
6250
12960
24010
40960
65610
146410
10
11
176
891
2816
6875
14256
26411
45056
72171
161051
11
12
192
972
3072
7500
15552
28812
49152
78732
175692
12
IS
208
1053
3328
8125
16848
31213
53248
85293
190333
IS
u
224
1134
3584
8750
18144
33614
57344
91854
204974
14
15
240
1215
3840
9375
19440
36015
61440
98415
219615
15
16
256
1296
4096
10000
20736
38416
65536
104976
234256
16
n
272
1377
4352
10625
22032
40817
69632
111537
248897
17
is
288
1458
4608
11250
23328
43218
73728
118098
263538
18
19
304
1539
4864
11875
24624
45619
77824
124659
278179
19
20
320
1620
5120
12500
25920
48020
81920
131220
292820
20
21
336
1701
5376
13125
27216
50421
86016
137781
307461
21
22
352
1782
5632
13750
28512
52822
90112
144342
322102
22
23
368
1863
5888
14375
29808
55223
94208
150903
336743
2S
n
384
1944
6144
15000
31104
57624
98304
157464
351384
24
25
400
2025
6400
15625
32400
60025
102400
164025
366025
25
26
416
2106
6656
16250
33696
62426
106496
170586
380666
26
27
432
2187
6912
16875
34992
64827
110592
177147
395307
27
28
448
2268
7168
17500
36288
67228
114688
183708
409948
28
29
464
2349
7424
18125
37584
69629
118784
190269
424589
29
SO
480
2430
7680
18750
38880
72030
122880
196830
439230
SO
SI
496
2511
7936
19375
40176
74431
126976
203391
453871
81
32
512
2592
8192
20000
41472
76832
131072
209952
468512
82
SS
528
2673
8448
20625
42768
79233
135168
216513
483153
SS
Sit
544
2754
8704
21250
44064
81634
139264
223074
497794
84
S5
560
2835
8960
21875
45360
84035
143360
229635
512435
35
S6
576
2916
9216
22500
46656
86436
147456
236196
527076
36
,17
592
2997
9472
, 23125
47952
88837
151552
242757
541717
87
S8
608
3078
9728
23750
49248
91238
155648
249318
556358
38
S9
624
3159
9984
24375
50544
93639
159744
255879
570999
89
40
640
3240
10240
25000
51840
96040
163840
262440
585640
40
tl
656
3321
10496
25625
53136
98441
167936
269001
600281
41
42
672
3402
10752
26250
54432
100842
172032
275562
614922
42
4S
688
3483
11008
26875
55728
103243
176128
282123
629563
43
44
704
3564
11264
27500
57024
105644
180224
288684
644204
U
45
720
3645
11520
28125
58320
108045
184320
295245
658845
45
46
736
3726
11776
28750
59616
110446
188416
301806
673486
40
47
752
3807
12032
29375
60912
112847
192512
308367
688127
47
48
768
3888
12288
30000
62208
115248
196608
314928
702768
48
49
784
3969
12544
30625
63504
117649
200704
321489
717409
49
50
800
4050
12800
31250
64800
120050
204800
328050
732050
50
Verification of the Fourth Moment
103
TABLE L— {continued).
Ordinate 12 — 19. Frequency 1 — 50.
n
1
x=n
* = 13
x=14
i = 15
*=16
x = 17
i = 18
x = 19
n
20736
28561
38416
50625
65536
83521
104976
130321
1
2
41472
57122
76832
101250
131072
167042
209952
260642
8
3
62208
85683
115248
151875
196608
250563
314928
390963
S
4
82944
114244
153664
202500
262144
334084
419904
521284
4
5
103680
142805
192080
253125
327680
417605
624880
651605
5
6
124416
171366
230496
303750
393216
501126
629856
781926
6
7
145152
199927
268912
354375
458752
584647
734832
912247
7
8
165888
228488
307328
405000
524288
668168
839808
1042568
8
9
186624
257049
345744
455625
589824
751639
944784
1172889
9
10
207360
285610
384160
506250
655360
835210
1049760
1303210
10
11
228096
314171
422576
556875
720896
918731
1154736
1433531
11
12
248832
342732
460992
607500
786432
1002252
1259712
1563852
12
IS
269568
371293
499408
658125
851968
1085773
1364688
1694173
IS
n
290304
399854
537824
708750
917504
1169294
1469664
1824494
U
15
311040
428415
576240
759375
983040
1252815
1574640
1954815
15
16
331776
456976
614656
810000
1048576
1336336
1679616
2085136
16
17
352512
485537
653072
860625
1114112
1419857
1784592
2215457
17
18
373248
514098
691488
911250
1179648
1503378
1889568
2345778
18
19
393984
542659
729904
961875
1245184
1586899
1994544
2476099
19
SO
414720
571220
768320
1012500
1310720
1670420
2099520
2606420
20
21
435456
599781
806736
1063125
1376256
1753941
2204496
2736741
21
22
456192
628342
845152
1113750
1441792
1837462
2309472
2867062
22
23
476928
656903
883568
1164375
1507328
1920983
2414448
2997383
23
24
497664
685464
921984
1215000
1572864
2004504
2519424
3127704
24
25
518400
714025
960400
1265625
1638400
2088025
2624400
3258025
25
26
539136
742586
998816
1316250
1703936
2171546
2729376
3388346
26
27
559872
771147
1037232
1366875
1769472
2255067
2834352
3518667
27
28
580608
799708
1075648
1417500
1835008
2338588
2939328
3648988
28
29
601344
828269
1114064
1468125
1900544
2422109
3044304
3779309
29
SO
622080
856830
1152480
1518750
1966080
2505630
3149280
3909630
SO
SI
642816
885391
1190896
1569375
2031616
2589151
3254256
4039951
31
32
663552
913952
1229312
1620000
2097152
2672672
3359232
4170272
32
S3
684288
942513
1267728
1670625
2162688
2756193
3464208
4300593
S3
SJ,
705024
971074
1306144
1721250
2228224
2839714
3569184
4430914
S4
35
725760
999635
1344560
1771875
2293760
2923235
3674160
4561235
35
36
746496
1028196
1382976
1822500
2359296
3006756
3779136
4691556
36
57
767232
1056757
1421392
1873125
2424832
3090277
3884112
4821877
37
38
787968
1085318
1459808
1923750
2490368
3173798
3989088
4952198
38
39
808704
1113879
1498224
1974375
2555904
3257319
4094064
5082519
39
40
829440
1142440
1536640
2025000
2621440
3340840
4199040
5212840
40
41
850176
1171001
1575056
2076626
2686976
3424361
4304016
5343161
41
42
870912
1199562
1613472
2126250
2752512
3507882
4408992
5473482
42
43
891648
1228123
1651888
2176875
2818048
3591403
4513968
5603803
43
u
912384
1256684
1690304
2227500
2883584
3674924
4618944
5734124
44
45
933120
1285245
1728720
2278125
2949120
3758445
4723920
5864445
45
46
953856
1313806
1767136
2328750
3014656
3841966
4828896
5994766
46
47
974592
1342367
1805552
2379375
3080192
3925487
4933872
6125087
47
48
995328
1370928
1843968
2430000
3145728
4009008
5038848
6255408
48
49
1016064
1399489
1882384
2480625
3211264
4092529
5143824
6385729
49
50
1036800
1428050
1920800
2531250
3276800
4176050
5248800
6516050
50
104
Tables for Statisticians and Biometricians
TABLE L— (continued).
Ordinate 2—11. Frequency 51 — 100.
n
x=2
x = 3
x = 4
x=5
x = 6
x = 7
a=8
x=9
x=ll
71
51
816
4131
13056
31875
66096
122451
208896
334611
746691
51
52
832
4212
13312
32500
67392
124852
212992
341172
761332
52
53
848
4293
13568
33125
68688
127253
217088
347733
775973
5S
54
864
4374
13824
33750
69984
129654
221184
354294
790614
54
55
880
4455
14080
34375
71280
132055
225280
360855
805255
55
56
896
4536
14336
35000
72576
134456
229376
367416
819896
56
57
912
4617
14592
35625
73872
136857
233472
373977
834537
57
58
928
4698
14848
36250
75168
139258
237568
380538
849178
58
50
944
4779
15104
36875
76464
141659
241664
387099
863819
59
60
960
4860
15360
37500
77760
144060
245760
393660
878460
60
61
976
4941
15616
38125
79056
146461
249856
400221
893101
61
62
992
5022
15872
38750
80352
148862
253952
406782
907742
62
63
1008
5103
16128
39375
81648
151263
258048
413343
922383
63
64
1024
5184
16384
40000
82944
153664
262144
419904
937024
64
65
1040
5265
16640
40625
84240
156065
266240
426465
951665
65
66
1056
5346
16896
41250
85536
158466
270336
433026
966306
66
67
1072
5427
17152
41875
86832
160667
274432
439587
980947
67
68
1088
5508
17408
42500
88128
163268
278528
446148
995588
68
69
1104
5589
17664
43125
89424
165669
282624
452709
1010229
69
70
1120
5670
17920
43750
90720
168070
286720
459270
1024870
70
71
1136
5751
18176
44375
92016
170471
290816
465831
1039511
71
72
1152
5832
18432
45000
93312
172872
294912
472392
1054152
72
73
1168
5913
18688
45625
94608
175273
299008
478953
1068793
73
74
1184
5994
18944
46250
95904
177674
303104
485514
1083434
74
75
1200
6075
19200
46875
97200
180075
307200
492075
1098075
75
76
1216
6156
19456
47500
98496
182476
311296
498636
1112716
76
77
1232
6237
19712
48125
99792
184877
315392
505197
1127357
77
78
1248
6318
19968
48750
101088
187278
319488
511758
1141998
78
79
1264
6399
20224
49375
102384
189679
323584
518319
1156639
79
80
1280
6480
20480
50000
103680
192080
327680
524880
1171280
80
81
1296
6561
20736
50625
104976
194481
331776
531441
1185921
81
82
1312
6642
20992
51250
106272
196882
335872
538002
1200562
82
83
1328
6723
21248
51875
107568
199283
339968
544563
1215203
83
u
1344
6804
21504
52500
108864
201684
344064
551124
1229844
84
85
1360
6885
21760
53125
110160
204085
348160
557685
1244485
85
86
1376
6966
22016
53750
111456
206486
352256
564246
1259126
86
87
1392
7047
22272
54375
112752
208887
356352
570807
1273767
87
88
1408
7128
22528
55000
114048
211288
360448
577368
1288408
88
89
1424
7209
22784
55625
115344
213689
364544
583929
1303049
89
90
1440
7290
23040
56250
116640
216090
368640
590490
1317690
90
91
1456
7371
23296
56875
117936
218491
372736
597051
1332331
91
92
1472
7452
23552
57500
119232
220892
376832
603612
1346972
92
93
1488
7533
23808
58125
120528
223293
380928
610173
1361613
93
94
1504
7614
24064
58750
121824
225694
385024
616734
1376254
94
95
1520
7695
24320
59375
123120
228095
389120
623295
1390895
95
96
1536
7776
24576
60000
124416
230496
393216
629856
1405536
96
97
1552
7857
24832
60625
125712
232897
397312
636417
1420177
97
98
1568
7938
25088
61250
127008
235298
401408
642978
1434818
98
99
1584
8019
25344
61875
128304
237699
405504
649539
1449459
99
100
1600
8100
25600
62500
129600
240100
409600
656100
1464100
100
Verification of the Fourth Moment
105
TABLE L— (continued).
Ordinate 12 — 19. Frequency 51-
-100.
re
x = 12
x = 13
a = 14
a; =15
S=16
*=17
x=18
x=19
re
51
1057536
1456611
1959216
2581875
3342336
4259571
5353776
6646371
51
52
1078272
1485172
1997632
2632500
3407872
4343092
5458752
6776692
52
53
1099008
1513733
2036048
2683125
3473408
4426613
5563728
6907013
53
54
1119744
1542294
2074464
2733750
3538944
4510134
5668704
7037334
54
55
1140480
1570855
2112880
2784375
3604480
4593655
5773680
7167655
55
56
1161216
1599416
2151296
2835000
3670016
4677176
5878656
7297976
56
57
1181952
1627977
2189712
2885625
3735552
4760697
5983632
7428297
57
58
1202688
1656538
2228128
2936250
3801088
4844218
6088608
7558618
58
59
1223424
1685099
2266544
2986875
3866624
4927739
6193584
7688939
59
60
1244160
1713660
2304960
3037500
3932160
5011260
6298560
7819260
60
61
1264896
1742221
2343376
3088125
3997696
5094781
6403536
7949581
61
62
1285632
1770782
2381792
31^8750 | 4063232
5178302
6508512
8079902
62
63
1306368
1799343
2420208
3189375
4128768
5261823
6613488
8210223
63
64
1327104
1827904
2458624
3240000
4194304
5345344
6718464
8340544
64
65
1347840
1856465
2497040
3290625
4259840
5428865
6823440
8470865
65
66
1368576
1885026
2535456
3341250
4325376
5512386
6928416
8601186
66
67
1389312
1913587
2573872
3391875
4390912
5595907
7033392
8731507
67
68
1410048
1942148
2612288
3442500
4456448
5679428
7138368
8861828
68
69
1430784
1970709
2650704
3493125
4521984
5762949
7243344
8992149
69
70
1451520
1999270
2689120
3543750
4587520
5846470
7348320
9122470
70
71
1472256
2027831
2727536
3594375
4653056
5929991
7453296
9252791
71
72
1492992
2056392
2765952
3645000
4718592
6013512
7558272
9383112
72
73
1513728
2084953
2804368
3695625
4784128
6097033
7663248
9513433
73
74
1534464
2113514
2842784
3746250
4849664
6180554
7768224
9643754
74
75
1555200
2142075
2881200
3796875
4915200
6264075
7873200
9774075
75
76
1575936
2170636
2919616
3847500
4980736
6347596
7978176
9904396
76
77
1596672
2199197
2958032
3898125
5046272
6431117
8083152
10034717
77
78
1617408
2227758
2996448
3948750
5111808
6514638
8188128
10165038
78
79
1638144
2256319
3034864
3999375
5177344
6598159
8293104
10295359
79
80
1658880
2284880
3073280
4050000
5242880
6681680
8398080
10425680
80
81
1679616
2313441
3111696
4100625
5308416
6765201
8503056
10556001
81
82
1700352
2342002
3150112
4151250
5373952
6848722
8608032
10686322
82
83
1721088
2370563
3188528
4201875
5439488
6932243
8713008
10816643
83
84
1741824
2399124
3226944
4252500
5505024
7015764
8817984
10946964
84
85
1762560
2427685
3265360
4303125
5570560
7099285
8922960
11077285
85
86
1783296
2456246
3303776
4353750
5636096
7182806
9027936
11207606
86
87
1804032
2484807
3342192
4404375
5701632
7266327
9132912
11337927
87
88
1824768
2513368
3380608
4455000
5767168
7349848
9237888
11468248
88
89
1845504
2541929
3419024
4505625
5832704
7433369
9342864
11598569
89
90
1866240
2570490
3457440
4556250
5898240
7516890
9447840
11728890
90
91
1886976
2599051
3495856
4606875
5963776
7600411
9552816
11859211
91
92
1907712
2627612
3534272
4657500
6029312
7683932
9657792
11989532
92
93
1928448
2656173
3572688
4708125
6094848
7767453
9762768
12119853
93
94
1949184
2684734
3611104
4758750
6160384
7850974
9867744
12250174
9i
95
1969920
2713295
3649520
4809375
6225920
7934495
9972720
12380495
95
96
1990656
2741856
3687936
4860000
6291456
8018016
10077696
12510816
96
.97
2011392
2770417
3726352
4910625
6356992
8101537
10182672
12641137
97
98
2032128
2798978
3764768
4961250
6422528
8185058
10287648
12771458
98
99
2052864
2827539
3803184
5011875
6488064
8268579
10392624
12901779
99
100
2073600
2856100
3841600
5062500
6553600
8352100
10497600
13032100
100
14
106
Tables for Statisticians and Biometricians
TABLE L— {continued).
Ordinate 2—7. Frequency 101—150.
n
x = 2
x = 3
X = i
x=5
x = &
x = 7
n
101
1616
8181
25856
63125
130896
242501
101
102
1632
8262
26112
63750
132192
244902
102
10S
1648
8343
26368
64375
133488
247303
108
10 If
1664
8424
26624
65000
134784
249704
104
105
1680
8505
26880
65625
136080
252105
105
106
1696
8586
27136
66250
137376
254506
106
107
1712
8667
27392
66875
138672
256907
107
108
1728
8748
27648
67500
139968
259308
108
109
1744
8829
27904
68125
141264
261709
109
110
1760
8910
28160
68750
142560
264110
110
111
1776
8991
28416
69375
143856
266511
111
IIS
1792
9072
28672
70000
145152
268912
112
113
1808
9153
28928
70625
146448
271313
US
114
1824
9234
29184
71250
147744
273714
114
115
1840
9315
29440
71875
149040
276115
115
116
1856
9396
29696
72500
150336
278516
116
117
1872
9477
29952
73125
151632
280917
117
118
1888
9558
30208
73750
152928
283318
118
119
1904
9639
30464
74375
154224
285719
119
120
1920
9720
30720
75000
155520
288120
120
121
1936
9801
30976
75625
156816
290521
121
122
1952
9882
31232
76250
158112
292922
1M
123
1968
9963
31488
76875
159408
295323
123
124,
1984
10044
31744
77500
160704
297724
124
125
2000
10125
32000
78125
162000
300125
125
126
2016
10206
32256
78750
163296
302526
126
127
2032
10287
32512
79375
164592
304927
127
128
2048
10368
32768
80000
165888
307328
128
129
2064
10449
33024
80625
167184
309729
129
130
2080
10530
33280
81250
168480
312130
ISO
131
2096
10611
33536
81875
169776
314531
131
132
2112
10692
33792
82500
171072
316932
132
133
2128
10773
34048
83125
172368
319333
133
134
2144
10854
34304
83750
173364
321734
134
135
2160
10935
34560
84375
174960
324135
135
136
2176
11016
34816
85000
176256
326536
136
137
2192
11097
35072
85625
177552
328937
137
138
2208
11178
35328
86250
178848
331338
138
139
2224
11259
35584
86875
180144
333739
139
U0
2240
11340
35840
87500
181440
336140
140
141
2256
11421
36096
88125
182736
338541
141
142
2272
11502
36352
88750
184032
340942
142
143
2288
11583 '
36608
89375
185328
343343
143
144
2304
11664
36864
90000
186624
345744
144
145
2320
11745
37120
90625
187920
348145
145
146
2336
11826
37376
91250
189216
350546
146
147
2352
11907
37632
91875
190512
352947
147
148
2368
11988
37888
92500
191808
355348
148
149
2384
12069
38144
93125
193104
357749
149
150
2400
12150
38400
93750
194400
360150
150
Verification of the Fourth Moment
107
TABLE L— (continued).
Ordinate 8—14. Frequency 101—150.
n
x = S
x=9
s = ll
a; = 12
x=13
x = 14
n
101
413696
602661
1478741
2094336
2884661
3880016
101
102
417792
669222
1493382
2115072
2913222
3918432
102
103
421888
675783
1508023
2135808
2941783
3956848
103
104
425984
682344
1522664
2156544
2970344
3995264
104
105
430080
688905
1537305
2177280
2998905
4033680
105
10G
434176
695466
1551946
2198016
3027466
4072096
106
107
438272
702027
1566587
2218752
3056027
4110512
107
108
442368
708588
1581228
2239488
3084588
4148928
108
109
446464
715149
1595869
2260224
3113149
4187344
109
110
450560
721710
1610510
2280960
3141710
4225760
no
lit
454656
728271
1625151
2301696
3170271
4264176
HI
112
458752
734832
1639792
2322432
3198832
4302592
112
US
462848
741393
1654433
2343168
3227393
4341008
113
m
466944
747954
1669074
2363904
3255954
4379424
114
115
471040
754515
1683715
2384640
3284515
4417840
115
116
475136
761076
1698356
2405376
3313076
4456256
116
117
479232
767637
1712997
2426112
3341637
4494672
117
118
483328
774198
1727638
2446848
3370198
4533088
118
119
487424
780759
1742279
2467584
3398759
4571504
119
120
491520
787320
1756920
2488320
3427320
4609920
120
121
495616
793881
1771561
2509056
3455881
4648336
121
122
499712
800442
1786202
2529792
3484442
4686752
122
123
503808
807003
1800843
2550528
3513003
4725168
123
124
507904
813564
1815484
2571264
3541564
4763584
124
125
512000
820125
1830125
2592000
3570125
4802000
125
126
516096
826686
1844766
2612736
3598686
4840416
126
127
520192
833247
1859407
2633472
3627247
4878832
127
128
524288
839808
1874048
2654208
3655808
4917248
128
129
528384
846369
1888689
2674944
3684369
4955664
129
130
532480
852930
1903330
2695680
3712930
4994080
130
131
536576
859491
1917971
2716416
3741491
5032496
131
132
540672
866052
1932612
2737152
3770052
5070912
132
133
544768
872613
1947253
2757888
3798613
5109328
133
134
548864
879174
1961894
2778624
3827174
5147744
134
135
552960
885735
1976535
2799360
3855735
5186160
135
136
557056
892296
1991176
2820096
3884296
5224576
136
1S7
561152
898857
2005817
2840832
3912857
5262992
137
138
565248
905418
2020458
2861568
3941418
5301408
138
139
569344
911979
2035099
2882304
3969979
5339824
139
140
573440
918540
2049740
2903040
3998540
5378240
140
141
577536
925101
2064381
2923776
4027101
5416656
141
142
581632
931662
2079022
2944512
4055662
5455072
1)&
143
585728
938223
2093663
2965248
4084223
5493488
143
144
589824
944784
2108304
2985984
4112784
5531904
144
145
593920
951345
2122945
3006720
4141345
5570320
145
146
598016
957906
2137586
3027456
4169906
5608736
146
147
602112
964467
2152227
3048192
4198467
5647152
147
148
606208
971028
2166868
3068928
4227028
5685568
148
149
610304
977589
2181509
3089664
4255589
5723984
149
150
614400
984150
2196150
3110400
4284150
5762400
150
14—2
108
Tables for Statisticians and Biometricians
TABLE h— (continued).
Ordinate 2—12. Frequency 151—200.
n
x = 2
x = 3
x = 4
x = 5
x = 6
x = 7
x = 8
x=9
x=ll
x = l'2
ii
151
2416
12231
38656
94375
195696
362551
618496
990711
2210791
3131136
151
152
2432
12312
38912
95000
196992
364952
622592
997272
2225432
3151872
152
153
2448
12393
39168
95625
198288
367353
626688
1003833
2240073
3172608
153
154
2464
12474
39424
96250
199584
369754
630784
1010394
2254714
3193344
154
155
2480
12555
39680
96875
200880
372155
634880
1016955
2269355
3214080
155
156
2496
12636
39936
97500
202176
374556
638976
1023516
2283996
3234816
156
157
2512
12717
40192
98125
203472
376957
643072
1030077
2298637
3255552
157
158
2528
12798
40448
98750
204768
379358
647168
1036638
2313278
3276288
158
159
2544
12879
40704
99375
206064
381759
651264
1013199
2327919
3297024
159
160
2560
12960
40960
100000
207360
384160
655360
1049760
2342560
3317760
160
161
2576
13041
41216
100625
208656
386561
659456
1056321
2357201
3338496
161
162
2592
13122
41472
101250
209952
388962
663552
1062882
2371842
3359232
10 J
163
2608
13203
41728
101875
211248
391363
667648
1069443
2386483
3379968
163
164
2624
13284
41984
102500
212544
393764
671744
1076004
2401124
3400704
164
165
2680
13365
42240
103125
213840
396165
675840
1082565
2415765
3421440
165
166
2656
13446
42496
103750
215136
398566
679936
1089126
2430406
3442176
lot;
167
2672
13527
42752
104375
216432
400967
684032
1095687
2445047
3462912
167
168
2688
13608
43008
105000
217728
403368
688128
1102248
2459688
3483648
168
169
2704
13689
43264
105625
219024
405769
692224
1108809
2474329
3504384
169
170
2720
13770
43520
106250
220320
408170
696320
1115370
2488970
3525120
170
171
2736
13851
43776
106875
221616
410571
700416
1121931
2503611
3545856
171
172
2752
13932
44032
107500
222912
412972
704512
1128492
2518252
3566592
172
173
2768
14013
44288
108125
224208
415373
708608
1135053
2532893
3587328
173
174
2784
14094
44544
108750
225504
417774
712704
1141614
2547534
3608064
174
175
2800
14175
44800
109375
226800
420175
716800
1148175
2562175
3628800
175
176
2816
14256
45056
110000
228096
422576
720896
1154736
2576816
3649536
176
177
2832
14337
45312
110625
229392
424977
724992
1161297
2591457
3670272
177
178
2848
14418
45568
111250
230688
427378
729088
1167858
2606098
3691008
178
179
2864
14499
45824
111875
231984
429779
733184
1174419
2620739
3711744
179
180
2880
14580
46080
112500
233280
432180
737280
1180980
2635380
3732480
180
181
2896
14661
46336
113125
234576
434581
741376
1187541
2650021
3753216
181
182
2912
14742
46592
113750
235872
436982
745472
1194102
2664662
3773952
182
183
2928
14823
46848
114375
237168
439383
749568
1200663
2679303
3794688
183
184
2944
14904
47104
115000
238464
441784
753664
1207224
2693944
3815424
184
185
2960
14985
47360
115625
239760
444185
757760
1213785
2708585
3836160
185
186
2976
15066
47616
116250
241056
446586
761856
1220346
2783828
3856896
186
187
2992
15147
47872
116875
242352
448987
765952
1226907
2737867
3877632
187
188
3008
15228
48128
117500
243648
451388
770048
1233468
2752508
3898368
188
189
3024
15309
48384
118125
244944
453789
774144
1240029
2767149
3919104
189
190
3040
15390
48640
118750
246240
456190
778240
1246590
2781790
3939840
190
191
3056
15471
48896
119375
247536
458591
782336
1253151
2796431
3960576
191
192
3072
15552
49152
120000
248832
460992
786432
1259712
2811072
3981312
192
193
3088
15633
49408
120625
250128
463393
790528
1266273
2825713
4002048
193
194
3104
15714
49664
121250
251424
465794
794624
1272834
2840354
4022784
194
195
3120
15795
49920
121875
252720
468195
798720
1279395
2854995
4043520
195
196
3136
15876
50176
122500
254016
470596
802816
1285956
2869636
4064256
196
197
3152
15957
50432
123125
255312
472997
806912
1292517
2884277
4084992
197
198
3168
16038
50688
123750
256608
475398
811508
1299078
2898918
4105728
19S
199
3184
16119
50944
128375
257904
477799
815104
1305639
2913559
4126464
199
200
3200
16200
51200
125000
259200
480200
819200
1312200
2928200
4147200
200
Verification of the Fourth Moment
109
TABLE L— (continued).
Ordinate 2—11. Frequency 201—250.
n
x = 1
x = 3
i = 4
x = 5
a: = 6
x = 7
x=8
->
28
H
25
26
27
28
29
X
•000112
•001016
•004624
•014025
•031906
•058069
•088072
•114493
•130236
•131683
•119832
•099133
■075176
•052623
•034205
•020751
•011802
•006318
■003194
•001530
•000696
■000302
■000125
•000049
•000019
•000007
■000002
•000001
•oooioi
•000930
•004276
•013113
•030160
•055494
•085091
•111834
■128609
•131467
•120960
■101158
•077555
•054885
•036067
■022121
•012720
•006884
•003518
•001704
•000784
•000343
•000144
•000057
•000022
•000008
•000003
•000001
•000091
•000850
•003954
•012256
•028496
•053002
•082154
•109147
•126883
•131113
•121935
•103090
•079895
•057156
•037968
•023540
•013683
•007485
•003867
•001893
•000880
•000390
•000165
•000067
•000026
•000010
•000003
•000001
■000083
•000778
•003655
•011452
•026911
•050593
•079262
•106438
•125065
•130623
•122786
•104926
•082192
•059431
•039904
•025006
•014691
•008123
•004242
•002099
•000986
•000442
•000189
•000077
■000030
■000011
•000004
•000001
•000075
•000711
•003378
•010696
•025403
•048266
•076421
•103714
•123160
•130003
•123502
•106661
•084440
•061706
•041872
•026519
•015746
•008799
•004644
•002322
•001103
•000499
•000215
•000089
•000035
•000013
•000005
•000002
•000001
•000068
•000650
•003121
■009987
•023969
■046020
■073632
•100981
•121178
•129256
•124086
•108293
•086634
•063976
•043869
•028076
•016846
•009513
■005074
•002563
•001230
•000563
•000245
•000102
•000041
■000016
•000006
•000002
•000001
•000061
•000594
•002883
•009322
•022606
•043855
•070899
•098246
•119123
•128388
•124537
•109819
•088770
•066236
•045892
•029677
•017992
•010266
•005532
•002824
•001370
•000633
•000279
•000118
•000048
•000018
•000007
•000002
•000001
•000055
•000543
■002663
•008698
•021311
•041770
■068224
•095514
•117004
•127405
•124857
•111236
•090843
•068481
•047937
•031319
•019183
•011058
•006021
•003105
•001522
•000710
■000316
•000135
■000055
•000022
•000008
•000003
•000001
•000050
■000497
•002459
•008114
•020082
•039763
•065609
•092790
•114827
•126310
•125047
•112542
■092847
•070707
•050000
•033000
•020419
•011891
•006540
•003408
•001687
•000795
•000358
•000154
•000064
•000025
•000010
•000004
•000001
•000045
•000454
•002270
•007567
•018917
•037833
•063055
•090079
•112599
•125110
•125110
•113736
•094780
•072908
•052077
•034718
■021699
•012764
•007091
•003732
■001866
•000889
•000404
•000176
•000073
•000029
•000011
•000004
•oooooi
■oooooi
10-1
10-2
io-s
10%
10-5
10-6-
10-7
10-8
10-9
u-o
1
2
3
•000041 |
•000415
•002095
•007054
■000087
■000879
•001934
•006574
■000034
000346
•001784
■006125
•000030
•000317
•001646
•005705
•000028
•000289
•001518
•005313
•000025
•000264
•001400
■004946
•000023
•000241
•001291
004603
•000020
•000220
•001190
•004283
•000018
•000201
•001097
•003984
■000017
•000184
•001010
•003705
118
Tables for Statisticians and Biometricians
TABLE LI— (continued).
X
m
X
10-1
10-2
10-3
10-4
10-5
10-6
10-7
10-8
10-9
11-0
k
5
6
7
8
9
10
11
12
IS
n
15
16
17
18
19
20
21
22
23
u
25
26
27
28
29
SO
■017811
•035979
060565
•087387
•110326
•123810
■125048
■114817
•096637
•075080
•054165
•036471
•023022
•013678
•007675
•004080
•002060
•000991
•000455
•000200
•000084
•000034
•000013
•000005
•000002
•000001
•016764
•034199
•058139
•084716
•108013
•122415
■124863
•115782
•098415
■077218
•056259
•038256
•024388
■014633
•008292
•004451
•002270
•001103
•000511
•000227
•000096
•000039
•000015
•000006
•000002
•000001
•015773
•032492
•055777
•082072
•105668
•120931
•124559
116633
•100110
•079318
•058355
•040071
•025795
•015629
•008943
•004848
•002497
•001225
■000573
■000257
•000110
•000045
■000018
•000007
•000003
•000001
■014834
•030855
■053482
•079458
•103296
•119364
•124139
•117368
•101719
•081375
•060450
•041912
•027243
•016666
•009629
•005271
■002741
■001357
■000642
•000290
•000126
•000052
•000021
■000008
•000003
•000001
•013946
•029287
•051252
•076878
•100902
•117720
•123606
•117987
•103239
•083385
•062539
043777
■028729
•017744
•010351
•005720
■003003
•001502
•000717
•000327
•000143
•000060
•000024
•000009
•000004
•000001
•013107
•027786
•049089
•074334
■098493
•116003
•122963
•118492
•104667
■085344
■064618
•045663
•030252
•018863
•011108
•006197
•003285
•001658
•000799
•000368
•000163
•000069
•000028
•000011
•000004
•000002
•000001
•012313
•026350
•046991
•071830
•096072
•114219
■122215
•118882
■106003
■087248
•066683
■047567
•031810
•020022
•011902
•006703
•003586
■001827
•000889
•000413
•000184
■000079
•000032
•000013
■000005
•000002
•000001
•011564
■024978
•044960
•069367
•093646
•112375
■121365
■119159
•107243
•089094
•068730
■049485
•033403
•021220
•012732
•007237
•003908
•002010
■000987
•000463
•000208
•000090
•000037
•000015
■000006
•000002
•000001
•010856
•023667
•042995
•066949
•091218
•110475
•120418
•119323
•108386
•090877
•070754
•051415
•035026
•022458
•013600
•007802
•004252
•002207
•001093
•000518
•000235
■000103
•000043
•000017
•000007
•000003
•000001
•010189
•022415
•041095
•064577
•088794
■108526
•119378
•119378
•109430
■092595
•072753
•053352
•036680
•023734
•014504
•008397
•004618
■002419
■001210
•000578
■000265
•000117
•000049
•000020
•000008
•000003
•000001
A
5
6
7
8
9
10
11
12
IS
U
15
16
17
18
19
20
21
22
23
n
25
26
27
28
29
SO
X
1
2
S
k
6
6
7
8
9
10
11
12
IS
n
15
16
17
18
19
11 -1
11-2
US
11-4
11-5
11-6
11-7
1V8
11-9
12-0
X
•000015
•000168
000931
•003445
•009559
•021221
039259
•062253
•086376
•106531
•118249
•119324
•110375
■094243
•074721
•055294
•038360
•025047
•015446
■009023
•000014
•000153
•000858
•003202
•008965
•020082
•037487
•059979
•083970
•104496
•117036
•119164
•111220
•095820
•076656
■057236
■040065
•026396
•016424
•009682
■000012
•000140
•000790
•002976
•008406
•018997
•035778
•057755
•081579
•102427
•115743
•118899
•111964
•097322
•078553
•059177
•041793
■027780
■017440
•010372
■000011
•000128
•000727
•002764
•007879
•017963
•034130
•055584
■079206
•100328
•114374
•118533
•112607
•098747
•080409
061110
•043541
■029198
•018492
•011095
•000010
•000116
•000670
•002568
•007382
•016979
•032544
•053465
•076856
•098204
■112935
■118068
•113149
•100093
•082219
•063035
•045306
■030648
•019581
•011852
•000009
•000106
•000617
•002386
•006915
•016043
•031017
•051400
■074529
•096060
•111430
•117508
•113591
•101358
•083982
•064946
•047086
•032129
•020706
■012641
•000008
•000097
•000568
•002214
•006476
•015153
•029549
•049388
•072231
•093900
•109863
•116854
•113933
•102539
•085694
■066841
•048877
•033639
•021865
•013465
•000008
•000089
•000522
■002055
•006062
•014307
•028137
•047432
•069962
•091728
•108239
•116110
•114175
•103636
•087350
•068716
•050678
•035176
•023060
•014322
•000007
■000081
•000481
•001907
■005674
•013504
•026782
•045530
•067725
•089548
■106562
•115281
•114320
•104647
•088950
•070567
•052484
•036739
•024288
•015212
•000006
■000074
■000442
■001770
•005309
■012741
•025481
•043682
■065523
•087364
•104837
•114368
•114363
•105570
•090489
•072391
•054293
•038325
•025550
•016137
1
2
S
k
5
6
r*
i
8
9
10
11
12
IS
H
15
16
17
18
19
Poisson's Exponential Binomial Limit
TABLE LI— {continued).
119
20
25
26
£7
31
32
1
2
3
4
5
6
7
8
9
10
11
12
13
15
16
n
18
19
20
21
..'2
23
S4
25
26
27
28
29
30
31
32
S3
11-1
•005008
•002647
001336
•000645
■000298
•000132
•000057
•000023
■000009
•000004
•000001
12-1
•00(1006
•000067
■000407
•001641
•004966
•012017
•024233
•041889
•063358
•085181
103069
•113376
•114321
•106406
•091965
•074185
•056103
039932
•026843
•017095
•010342
•005959
•003278
•001724
•000869
•000421
•000196
•000088
•000038
•000016
•000006
•000002
•000001
11-2
•005422
•002892
•001472
•000717
•000335
■000150
•000065
■000027
•000011
•000004
•000002
•000001
12'2
•000005
•000061
•000374
•001522
•004643
•011330
•023037
•040151
•061230
•083000
•101261
•112308
•114180
■107153
•093376
•075946
•057909
•04] 558
•02S167
■018086
•011033
•006409
•003554
•001885
•000958
•000468
•000219
•000099
•000043
■000018
•000007
•000003
000001
11-3
•005860
•003153
•001620
•000796
•000375
•000169
■000074
•000031
•000012
•000005
•000002
•000001
u-4
•000005
•000056
•000344
•001412
•004341
•010679
■021892
•038467
■059142
•080828
•099418
•111168
•113947
■107811
■094720
•077670
•059709
•043201
029521
•019111
•011753
006884
■003849
•002058
■001055
•000519
•000246
•000112
•000049
•000021
•000009
•000003
•000001
•006324
•003433
•001779
•000882
•000419
•000191
•000084
•000035
•000014
•000006
•000002
•000001
12- If
11-3
•000004
•000051
•000317
•001309
•004057
•010062
•020794
•036836
•057095
•078665
•097544
•109959
•113624
•108380
•095994
•079355
•061500
■044859
•030903
•020168
•012504
•007383
•004162
•002244
•001159
•000575
•000274
•000126
•000056
•000024
•000010
•000004
•000002
•000001
•006815
•003732
•001951
•000975
•000467
•000215
•000095
•000041
■000017
■000007
•000003
•000001
12-5
•000004
•000047
•000291
•001213
•003791
•009477
•019744
•035258
•055091
•076515
•095644
•108686
•113215
•108860
•097197
•080997
•063279
•046529
•032312
•021258
•013286
•007908
•004493
•002442
•001272
•000636
•000306
•000142
•000063
•000027
•000011
■000005
•000002
•000001
1V6
•007332
•004050
•002136
•001077
•000521
•000242
•000108
■000046
•000019
•000008
■000003
•000001
12-6
•000003
•000042
■000268
■001124
•003541
■008924
•018740
•033733
•053129
•074381
•093720
•107352
•112720
•109251
•098326
•082594
•065043
•048208
•033746
•022379
•014099
•008459
•004845
•002654
•001393
•000702
•000340
•000159
•000071
•000031
000013
•000005
•000002
•000001
11-7
11-8
•007877
•008450
•004388
•004748
•002334
•002547
•001187
•001307
•000579
•000642
•000271
•000303
•000122
•000138
•000053
•000060
•000022
•000025
•000009
•000010
•000003
•000004
•000001
•000002
—
•000001
12-7
12-8
•000003
■000003
•000039
•000035
•000246
•000226
•001042
•000965
•003307
•003088
•008400
•007905
•017781
•016864
•032259
•030837
■051212
•049339
•072266
•070171
•091777
•089819
•105961
•104516
•112142
•111484
•109554
•109769
■099381
•100360
•084143
•085641
•066788
•068513
•049895
•051586
•035204
•036683
•023531
•024713
•014942
•015816
•009036
•009640
•005216
•005609
•002880
•003122
•001524
•001665
•000774
•000852
•000378
•000420
•000178
•000199
•000081
•000091
•000035
•000040
•000015
•000017
•000006
•000007
■000002
•000003
•000001
■000001
^~
11-9
•009051
•005129
•002774
■001435
•000712
•000339
•000155
•000068
•000029
•000012
•000005
•000002
•000001
12-9
•000002
•000032
•000208
•000894
•002882
•007436
•015988
•029464
•047511
•068100
•087849
•103023
•110749
•109897
■101263
•087086
•070213
•053279
•038183
•025925
•016721
•010272
•006023
•003378
•001816
•000937
•000465
•000222
•000102
•000046
•000020
•000008
•000003
•000001
12-0
•009682
•005533
•003018
•001575
•000787
•000378
■000174
•000078
•000033
■000014
•000005
•000002
•000001
13-0
•000002
•000029
•000191
•000828
•002690
•006994
•015153
•028141
•045730
•066054
•085870
•101483
•109940
•109940
•102087
•088475
•071886
•054972
•039702
•027164
•017657
•010930
•006459
•003651
•001977
•001028
•000514
•000248
•000115
•000052
•000022
•000009
•000004
•000002
•000001
20
21
22
23
n
25
26
27
28
29
SO
SI
82
1
2
8
4
5
6
7
8
9
10
11
12
13
H
15
16
17
18
19
27
SO
SI
32
S3
*4
120
Tables for Statisticians and Biometricians
TABLE LI— (continued).
o
l
2
8
4
5
6
7
8
9
10
11
1
2
3
k
5
6
7
8
9
10
11
12
IS
n
15
16
17
18
19
22
23
H
25
26
27
28
29
SO
SI
32
S3
Si,
13-1
■000002
•000027
•000175
•000766
•002510
•006575
•014356
•026867
•043994
•064036
■083887
•099901
•109059
•109898
•102833
•089807
•073530
•056661
•041237
•028432
•018623
•011617
•006917
•003940
•002151
•001127
•000568
•000275
•000129
•000058
■000025
•000011
•000004
•000002
■oooooi
U-l
•000001
•000011
•000075
•000352
•001239
•003494
•008212
•016541
•029153
•045673
•064399
•082547
13-2
•000002
■000024
•000161
•000709
•002341
•006180
•013596
•025639
•042304
•062046
•081901
•098281
•108109
•109773
•103500
•091080
•075141
•058345
•042786
•029725
•019619
•012332
•007399
•004246
•002336
•001233
•000626
•000306
•000144
•000066
•000029
•000012
•000005
■000002
•oooooi
U-2
•oooooi
•000010
•000069
•000325
•001153
•003275
•007752
•015726
•027913
•044040
•062537
■080730
13-S
•000002
•000022
•000148
•000657
•002183
•005807
•012872
•024458
•040661
•060088
•079916
•096626
•107094
•109566
•104087
•092291
•076717
•060019
•044348
•031043
•020644
•013074
•007904
•004571
•002533
■001348
•000689
•000340
•000161
•000074
■000033
•000014
•000006
•000002
•000001
US
•000001
•000009
•000063
•000300
•001073
•003070
•007316
•014946
•026715
•042447
•060700
•078910
lS-lf
13-5
•000002
•000020
•000136
•000608
•002035
•005455
•012183
•023322
•039064
•058161
•077936
•094940
■106017
•109279
•104595
•093439
•078255
•061683
•045920
•032385
•021698
•013846
•008433
•004913
•002743
•001470
•000758
•000376
•000180
•000083
•000037
•000016
•000007
•000003
•OOOOOI
U:
•OOOOOI
•000008
•000058
•000277
•000999
•002876
•006902
•014199
•025559
•040894
•058887
•077089
•OOOOOI
•000019
•000125
•000562
•001897
•005123
•011526
•022230
•037512
•056269
•075963
•093227
•104880
•108914
•105024
•094522
•079753
•063333
•047500
•033750
•022781
•014645
•008987
•005275
•002967
•001602
•000832
■000416
•000201
•000093
•000042
•000018
•000008
•000003
•OOOOOI
If -5
•OOOOOI
•000007
•000053
•000256
•000929
•002694
•006510
•013486
•024443
■039380
•057101
•075270
13-6
•OOOOOI
•000017
•000115
•000520
•001768
•004810
•010902
•021181
•036007
•054410
•073998
•091489
•103687
•108473
•105373
•095539
■081208
•064966
•049086
•035135
•023892
•015473
•009565
•005656
•003205
•001744
•000912
•000459
•000223
•000105
•000047
•000021
•000009
•000004
•OOOOOI
•OOOOOI
U-6
•000007
•000049
•000237
•000864
•002523
•006139
•012804
•023367
•037907
•055343
•073456
1S-7
•OOOOOI
•000015
•000105
•000481
•001648
•004514
•010308
•020173
■034547
•052588
•072046
•089730
•102441
•107957
•105644
•096488
•082618
•066580
•050675
•036539
•025030
•016329
•010168
•006057
•003457
•001895
•000998
•000507
•000248
•000117
•000053
•000024
•000010
•000004
•000002
•OOOOOI
U-7
•000006
•000045
•000219
•000803
•002362
•005787
•012162
022330
•036472
■053614
•071648
13 -8
•OOOOOI
•000014
•000097
•000445
■001535
•004236
•009743
•019207
•033132
•050802
•070107
•087953
•101146
•107370
■105836
■097369
•083981
•068173
•052266
•037962
•026193
•017213
•010797
•006478
•003725
•002056
•001091
•000558
•000275
•000131
•000060
•000027
•000012
•000005
•000002
•OOOOOI
13-9
llf-8
•000006
•000041
•000202
•000747
•002211
•005454
•011530
•021331
•035078
•051915
•069850
•OOOOOI
•000013
•000089
•000411
•001429
•003974
•009206
•018280
•031762
•049054
•068185
•086162
•099804
•106713
•105951
•098181
•085295
•069741
•053856
•039400
•027383
■018125
•011452
•006921
•004008
•002229
•001191
•000613
•000305
•000146
•000068
•000030
•000013
•000006
•000002
•OOOOOI
14-9
•000005
•000038
•000186
•000694
•002069
•005138
•010937
•020370
•033723
•050247
•068062
U-0
•OOOOOI
•000012
•000081
•000380
•001331
•003727
•008696
•017392
■030435
•047344
•066282
•084359
•098418
•105989
•105989
•098923
•086558
•071283
•055442
•040852
•028597
•019064
•012132
•007385
■004308
•002412
•001299
•000674
•000337
•000163
•000076
•000034
•000015
•000006
•000003
•OOOOOI
15-0
I
•000005
•000034
•000172
•000645
•001936
•004839
■010370
•019444
•032407
•048611
■066287
1
2
3
k
5
6
7
8
9
10
11
12
IS
1*
15
16
17
18
19
20
21
25
26
27
28
29
SO
SI
32
S3
S4
35
5
6
7
8
9
10
11
Pomoris Exponential Binomial Limit
TABLE LI— (continued).
121
X
12
13
n
15
16
17
18
19
20
21
22
23
24.
25
26
27
28
29
30
31
32
33
Sit
35
36
37
TO
X
12
IS
H
15
16
17
18
19
20-
21
22
23
24
25
26
27
28
29
SO
SI
32
S3
34
35
36
37
w
14-2
14s
U'4
U-5
14-6
14-7
14-8
14-9
15-0
•096993
•105200
•105951
•099594
•087768
•072795
•057023
•042317
•029834
•020031
•012838
•007870
•004624
•002608
•001414
•000739
■000372
•000181
•000085
•000039
•000017
•000007
•000003 '
•000001
•095530
•104349
■105839
•100195
•088923
•074277
•058596
•043793
•031093
•021025
•013570
•008378
•004957
•002816
■001538
•000809
•000410
■000201
■000095
■000044
•000019
•000008
•000003
■000001
•000001
•094034
•103437
•105654
•100723
•090021
•075724
•060158
•045277
•032373
•022045
•014329
•008909
•005308
•003036
•001670
•000884
•000452
■000223
•000106
•000049
•000022
•000009
•000004
•000002
•000001
092507
102469
105396
101181
0910G3
077135
061708
046768
033673
023090
015114
009462
005677
003270
001811
000966
000497
000247
000118
000055
000025
000011
000005
000002
000001
•090951
•101446
•105069
•101567
•092045
•078509
•063243
•048264
•034992
•024161
•015924
•010039
•006065
•003518
■001962
•001054
•000546
•000273
•000132
•000062
•000028
•000012
•000005
•000002
•000001
•089371
•100371
•104672
•101881
•092967
•079842
•064761
•049763
•036327
•025256
•016761
•010640
•006472
•003780
•002123
•001148
•000598
•000301
•000147
•000069
•000032
■000014
■000006
•000002
•000001
•087769
•099247
•104209
•102125
•093827
•081133
•066259
■051263
•037678
•026375
■017623
•011264
•006899
•004057
•002294
•001249
■000656
■000332
•000163
•000077
•000035
•000016
•000007
•000003
•000001
•086148
•098076
•103681
•102298
•094626
•082380
•067735
•052762
•039044
•027517
•018511
■011911
•007345
•004348
•002475
•001357
•000717
•000366
•000181
•000086
•000040
•000018
•000008
•000003
•000001
•000001
•084510
■096862
■103089
•102402
•095361
•083581
■069187
•054257
•040422
•028680
•019424
•012584
•007812
•004656
•002668
•001473
•000784
•000403
■000200
•000096
•000045
•000020
•000009
•000004
•000002
•000001
•082859
•095607
•102436
•102436
096034
•084736
•070613
•055747
•041810
•029865
•020362
•013280
■008300
•004980
•002873
•001596
•000855
•000442
•000221
•000107
•000050
•000023
•000010
•000004
■000002
•000001
16
122
Tables for Statisticians and Biometricians
TABLE LII.
Table of Poisson-Exponential for Cell Frequencies 1 to 30.
Cell Frequencies
a;
1
s
S
4
5
6
7
8
9
10
«*
u
o
W
*»
20
£
19
SP
18
" E S3
17
16
15
9 3
U
J §
IS
?e£
12
O 4)
11
w <£.
10
9
"005
-_ U
1 —
•oi^
•050
s
•034
•302
•123
"623
•277
1*038
3 £
7
■091
§1
6
•248
1 -735
6-197
15-120
•730
1-375
2-123
2-925
5
4
S
•674
4-043
12-465
26-503
44-049
2-964
8-177
17-299
4-238
9-963
19-124
5-496
11-569
20-678
6-708
13-014
a
j-832
D
4-979
9-158
22-022
9
2
13 534
40-601
19-915
23-810
28-506
30-071
31-337
32-390
33-282
CM
1
36-788
42-319
43-347
44-568
44-971
45-296
45-565
45-793
Actual
36-788
27-067
22-404
19-537
17-547
16-062
14-900
13-959
13-176
12-511
1
1
M
1
26-424
32-332
35-277
37-116
38-404
39-370
40'129
40-745
41-259
41-696
2
8-030
14-288
18-474
21-487
23-782
25-602
27-091
28-338
29-401
30-323
S
1-899
5-265
8-392
11-067
13337
15-276
16-950
18-411
19-699
20-845
a
4
•366
1-656
3 351
5-113
6-809
8-392
9-852
11-192
12-422
13-554
5
•059
•453
1-191
2-136
3-183
4-262
5-335
6-380
7-385
8-346
o
6
•008
•110
■380
■813
1-370
2-009
2-700
3-418
4-146
4-875
a
7
•001
•024
•110
•284
•545
•883
1-281
1-726
2-203
2-705
u
Q
8
■000
•005
•029
•092
•202
•363
■572
•823
1-110
1-428
5*
9
•001
•007
•027
•070
•140
•241
•372
•532
•719
fci
10
•000
•002
•008
•023
■051
•096
■159
•242
•346
X>
11
•000
•002
•007
•018
■036
•065
•105
•160
bo
12
—
—
•001
•002
•006
•013
•025
•044
•071
IS
—
•000
•001
•002
■005
•009
•017
030
»3 -*^>
U
—
—
•000
■001
■002
•003
•007
•013
t! •
18
—
—
—
—
—
—
—
—
•001
o
s
I
B
§
o
19
20
21
—
—
—
—
—
—
—
—
-
■000
22
2S
—
—
—
—
—
—
—
—
—
—
a
8
25
26
—
z
z
Z
—
z
—
Z
—
—
cm
27
28
—
—
—
—
—
—
—
—
—
—
Table of Poissoris Exponential
123
TABLE LII— (continued).
Cell Frequencies
X
11
12
IS
U
15
16
17
18
19
20
o
22
21
20
19
18
.5 *4
17
•000
•001
•004
•015
•052
•151
•387
•flAA
01 rt
16
•000
•001
•004
•018
•067
•206
•000
•002
•008
•032
•104
•289
002
007
026
078
209
500
15
■000
■001
•004
•021
•086
•000
•002
•009
•040
•138
n
IS
•000
•001
•009
•047
Jp
•000
•003
•022
£ C!
12
11
•001
•008
•002
10
•020
•052
•105
•181
•279
•401
•543
•706
•886
1
081
9
•121
•229
•374
•553
■763
1-000
1-260
1-538
1-832
2
139
8
•492
•760
1-073
1-423
1-800
2-199
2-612
3037
3-467
3
901
g 2
7
1-510
2-034
2-589
3-162
3745
4-330
4-912
5-489
6 056
6
613
I i
6
3-752
4-582
5-403
6-206
6-985
7-740
8-467
9-167
9-840
10
486
■*i
5
7-861
8-950
9-976
10-940
11-846
12-699
13-502
14-260
14-975
15
651
a
<0
4
14-319
15-503
16-581
17-568
18-475
19-312
20-087
20-808
21-479
22
107
1
s
23-198
24-239
25-168
26-004
26-761
27-451
28-084
28-665
29-203
29
703
2
34 051
34-723
35-317
35-846
36-322
36-753
37-146
37-505
37-836
38
142
1
45-989
46-150
46-311
46-445
46-565
46-674
46-774
46-865
46-948
47-026
Actual
11-938
11-437
10-994
10-599
10-244
9-922
9-629
9360
9112
8-884
1
1
42-073
42-404
42-695
42-956
43-191
43-404
43-597
43-776
43-939
44-091
2
31-130
31-846
32-486
33 064
33 588
34 066
34-503
34-909
35
283
35
630
9
S
21-871
22-798
23-639
24-408
25-114
25-765
26-367
26-928
27
451
27
939
a
4
14-596
15-559
16-450
17-280
18-053
18-776
19-451
20-088
20
686
21
251
g
o
5
9-261
10-129
10-953
11-736
12-478
13-184
13-852
14-491
15
099
15
677
6
5-593
6-297
6-983
7-650
8-297
8-923
9-526
10-111
10
675
11
219
a
7
3219
3-742
4-266
4-791
5-311
5-825
6329
6-826
7
313
7
789
8
1-769
2-128
2-501
2-884
3-275
3-669
4-064
4-461
4
856
5
248
9
•929
1-160
1-407
1-671
1-947
2-232
2-523
2-824
3
127
3
433
fc"
10
•467
•607
•762
•933
1-117
1-312
1-516
1-732
1
954
2
182
^o
11
•225
•305
•396
•502
•619
•746
•882
1-030
1
185
1
348
12
•104
•148
•201
•261
■331
•411
■497
•595
699
809
fi 3
IS
•047
•069
•097
•131
•172
•219
•272
•333
400
473
1-3
u
•020
•031
•046
•063
•086
•114
•144
•182
223
269
« S
15
•008
•014
•021
•030
•042
•057
•074
•096
121
149
2 o
16
•003
•006
•009
•013
•020
•028
•036
•050
064
081
-a*
17
•001
•002
■004
•006
•009
•014
•017
•025
033
042
>
18
■001
•000
•002
•002
•004
■006
•008
•012
017
022
o
19
•000
•000
•001
•001
•002
•003
•003
•006
008
011
OB
O
20
—
•001
•000
•001
•002
002
•003
004
005
21
•000
•000
•000
•001
■001
•002
002
003
22
—
—
—
•000
•000
•001
001
001
B
23
25
—
—
—
—
—
—
—
•000
•000
001
000
8
JP
26
27
28
—
—
—
—
—
—
—
—
—
16—2
124
Tables for Statisticians and Biometricians
TABLE LII— {continued).
Cell Frequencies
#
21
22
2S
24
25
26
27
28
29
SO
9
22
.'7
—
—
—
—
—
•000
•ooo
•ooo
•000
001
^
20
—
—
—
000
•000
•001
001
001
•002
Jfr
19
—
—
000
•ooo
•001
•001
•002
003
004
■008
00
18
000
•000
001
•001
•002
•004
•006
009
012
•017
Eh C3
n
001
■002
003
•005
•008
•on
•016
023
031
•041
iS 3
16
003
•006
010
•015
•022
•031
•043
056
073
■092
2 a
-3 o
15
012
•020
030
•043
•059
•078
•102
129
160
•195
H
039
•058
081
•109
•142
•180
•224
273
328
•387
IS
111
•150
198
•252
■314
•384
•460
543
632
•727
i«
12
277
•355
443
•540
•647
•762
•884
1
014
1
161
1 293
I*
11
625
•763
912
1-072
1-240
1-417
1-601
1
791
1
987
2-187
10
1
290
1-512
1
743
1-983
2-229
2-482
2-739
3
000
3
263
3-528
9
2
455
2-778
3
107
3-440
3-775
4-111
4-446
4
781
5
114
5-444
g.s
8
4
336
4-769
5
200
5-626
6-048
6-463
6-872
7
274
7
669
8-057
7
7
157
7-689
8
208
8-713
9-204
9-682
10-147
10
599
11
038
11-465
J 1
6
11
107
11-704
12
277
12827
13-358
13-867
14-357
14
830
15
285
15-724
5
16
292
16-900
17
477
18-025
18-549
19-048
19-525
19
981
20
417
20-836
a
s
4
22
696
23-250
23
771
24-263
24-730
25-172
25-591
25
990
26
371
26-734
3
30
168
30-603
31
010
31-391
31-753
32-094
32-416
32
721
33
Oil
33-287
■
2
38
426
38-691
38
938
39-168
39-387
39-693
39-786
39
970
40
143
40-308
Ph
1
47-097
47-164
47-226
47-283
47-340
47-392
47-440
47-486
47 530
47-572
Actual
8-671
8-473
8-288
8-115
7-952
7-799
7-654
7-517
7-387
7-264
■
1
44-232
44-363
44-485
44-603
44-708
44-810
44-906
44-997
45-083
45-165
1
2
35
955
36-258
36-542
36
812
37-062
37-299
37-525
37
739
37-942
38-135
O
S
28
397
28-828
29-235
29
620
29-982
30-326
30-653
30
965
31-262
31-546
eg
4
21
785
22-290
22-770
23
227
23-660
24-074
24-469
24
847
25-208
25-555
5
16
230
16-758
17-264
17
748
18-211
18-655
19-083
19
493
19-888
20-269
o
6
11
744
12-251
12-740
13
213
13-669
14-110
14-538
14
951
15-351
15-738
a
7
8
254
8-709
9-153
9
585
10-007
10-418
10-819
11
210
11-591
11-962
fa
8
5
637
6-022
6-402
6
777
7-146
7-509
7-866
8
218
8-562
8-901
H
9
3
742
4-052
4-362
4
670
4-978
5-284
5-588
5
890
6-188
6-484
>>
10
2
415
2-654
2-895
3
138
3-385
3-632
3-880
4
129
4-377
4-625
X>
11
1
517
1-692
1-873
2
057
2-246
2-438
2-633
2
831
3-030
3-230
12
927
1-051
1-181
1
315
1-456
1-599
1-747
1
899
2-053
2-210
> 3
IS
552
•637
•727
821
•921
1-025
1-134
1
247
1-362
1-481
jg-s
U
320
•376
•437
500
•570
•643
•720
801
•885
•973
16
181
•217
•256
298
•345
•394
•448
504
•564
•626
16
100
•122
•147
173
•204
•237
•272
311
•352
•395
"3«t5
17
054
•067
■082
098
•118
•139
•162
188
•215
•245
t»
18
028
•036
•045
055
•067
•080
•095
111
•129
•149
*o
19
015
•019
•024
030
■037
•045
•054
065
•076
•089
s
20
007
010
•013
016
■020
•025
•031
037
•044
•052
a
21
004
•005
•007
009
•Oil
•014
•017
021
•025
•030
|
22
002
•002
•004
005
•006
•007
•009
Oil
■014
•017
g
28
001
•001
•002
003
•003
•004
•005
006
•007
•010
5
U
001
•001
•001
002
•002
•002
•003
003
•004
•006
a
25
000
•000
•001
001
•001
•001
•001
002
•002
•003
1
26
__
•000
000
•000
•001
•001
001
•001
•002
S3
27
•000
•ooo
•000
•000
■001
&H
28
—
—
—
—
—
—
—
~
•ooo
1
TABLE LIII. Angles, Arcs and Decimals of Degrees 125
Lengths of Ciboclab Ancs
Deg.
Arc
Deg.
Ave
Deg.
Are
'
Deg.
Are
n
Deg.
Arc
1
•017 4533
61
1-064 6508
121
2-111 8484
I
•01667
•000 2909
1
•00028
•000 0048
2
•034 9066
62
1082 1041
12i
2-129 3017
2
•03333
•000 5818
2
•00056
•000 0097
S
•052 3599
6S
1-099 5574
12.i
2-146 7550
S
•05000
•000 8727
3
•00083
•000 0145
4
•069 8132
64
1-117 0107
124
2-164 2083
4
•06667
001 1636
4
•00111
•0000194
s
•087 2665
65
1-134 4640
125
2-181 6616
5
•08333
•001 4544
5
•00139
•000 0242
6
•104 7198
66
1-151 9173
126
2199 1149
6
•10000
■001 7453
a
•00167
•0000291
7
•122 1730
67
1-169 3706
127
2-216 5682
7
• -11667
•002 0362
7
•00194
000 0339
8
■139 6263
68
1-186 8239
128
2-234 0214
8
•13333
■002 3271
8
■00222
•000 0388
y
•157 0796
69
1-204 2772
129
2-251 4747
9
•15000
■002 6180
9
■00250
•0000436
10
•174 5329
70
1-221 7305
130
2-268 9280
10
•16667
■002 9089
10
•00278
■0000485
u
•191 9862
71
1-2391838
1S1
2-286 3813
11
•18333
•003 1998
11
•00306
•0000533
12
•209 4395
72
1-256 6371
1S2
2-3038346
12
•20000
•003 4907
12
•00333
•000 0582
13
•226 8928
7S
1-274 0904
1S3
2-321 2879
IS
•21667
•003 7815
IS
•00361
•0000630
U
•244 3461
74
1-291 5436
134
2-338 7412
14
•23333
•004 0724
14
•00389
•0000679
15
•261 7994
75
1-308 9969
185
2-356 1946
15
•25000
•004 3633
15
■00417
•0000727
1C
•2792527
76
1-326 4502
lm
2-373 6478
16
•26667
004 6542
16
■00444
■0000776
17
•296 7060
77
1-343 9035
137
2-391 1011
17
•28333
004 9451
17
•00472
•0000824
18
•3141593
78
1-361 3568
138
2-408 5544
18
•30000
•005 2360
18
•00500
•0000873
19
•331 6126
79
1-378 8101
139
2-4260077
19
•31667
•005 5269
19
•00528
•0000921
20
•3490659
80
1-396 2634
140
2-443 4610
20
•33333
005 8178
20
•00556
•0000970
21
•366 5191
81
1-413 7167
141
2-460 9142
21
•35000
•006 1087
21
•00583
•000 1018
22
•383 9724
82
1-431 1700
142
2-478 3675
22
•36667
•006 3995
22
•00611
•000 1067
23
•401 4257
83
1-448 6233
143
2-495 8208
23
•38333
•006 6904
2S
•00639
0001115
**
•418 8790
84
1-466 0766
144
2-513 2741
24
•40000
•006 9813
24
•00667
•0001164
25
•436 3323
85
1-483 5299
145
2-530 7274
25
•41667
•007 2722
25
•00694
•0001212
26
•453 7856
86
1-500 9832
146
2-548 1807
26
•43333
•007 5631
26
•00722
•000 1261
27
•471 2389
87
1-518 4364
147
2-565 6340
27
•45000
•007 8540
27
•00750
•000 1309
28
■488 6922
88
1-535 8897
148
2-5830873
28
•46667
•008 1449
28
•00778
•0001357
29
•506 1455
89
1-553 3430
149
2-600 5406
29
•48333
•008 4358
29
•00806
■000 1406
SO
•523 5988
90
1-570 7963
150
2-617 9939
SO
•50000
008 7266
SO
•00833
000 1454
SI
•541 0521
91
1-588 2496
151
2-635 4472
SI
•51667
•009 0175
SI
•00861
•000 1503
S2
•558 5054
92
1-605 7029
152
2-652 9005
32
•53333
•0093084
32
■00889
•000 1551
33
•575 9587
9S
1-6231562
153
2-6703538
SS
•55000
•0095993
S3
00917
0001600
84
•593 4119
94
1-6406095
154
2-687 8070
34
•56667
•009 8902
S4
■00944
000 1648
35
•610 8652
95
1-658 0628
155
2-705 2603
35
•58333
•0101811
35
•00972
•000 1697
36
•628 3185
96
1-675 5161
156
2-722 7136
S6
•60000
•0104720
86
•01000
•000 1745
37
•645 7718
97
1-692 9694
157
2-740 1669
37
•61667
•010 7629
S7
•01028
•000 1794
S8
•663 2251
98
1-710 4227
158
2-757 6202
38
•63333
•0110538
38
•01056
•000 1842
39
•680 6784
99
1-727 8760
159
2-775 0735
39
•65000
•Oil 3446
S9
•01083
•000 1891
40
•698 1317
100
1-745 3293
160
2-792 5268
40
•66667
■Oil 6355
40
01111
•000 1939
41
•715 5850
101
1-762 7825
161
2-809 9801
41
•68333
•Oil 9264
41
•01139
000 1988
42
•7330383
102
1-780 2358
162
2-827 4334
42
•70000
•012 2173
42
•01167
•000 2036
43
•750 4916
10S
1-797 6891
163
2-844 8867
43
•71667
•012 5082
43
•01194
•000 2085
44
•767 9449
104
1-8151424
164
2-862 3400
u
•73333
•012 7991
44
•01222
■000 2133
45
•785 3982
105
1-832 5957
165
2-879 7933
45
•75000
•013 0900
45
•01250
•000 2182
46
•802 8515
106
1-8500490
166
2-897 2466
46
■76667
•0133809
46
•01278
•000 2230
47
•820 3047
107
1-867 5023
167
2-914 6999
47
•78333
•0136717
47
•01306
•000 2279
48
■837 7580
108
1-884 9556
168
2-932 1531
48
•80000
•013 9626
48
01333
•000 2327
49
•855 2113
109
1-902 4089
169
2-949 6064
49
■81667
•014 2535
49
•01361
•000 2376
50
•872 6646
110
1-919 8622
170
2-967 0597
50
•83333
014 5444
50
•01389
•000 2424
51
•8901179
111
1-937 3155
171
2-984 5130
51
•85000
•014 8353
51
•01417
•000 2473
52
•907 5712
112
1-954 7688
172
3-001 9663
52
•86667
•015 1262
52
•01444
•000 2621
53
•925 0245
US
1-972 2221
178
3019 4196
5S
•88333
•015 4171
53
•01472
•000 2570
54
■942 4778
114
1-989 6753
174
3-036 8729
54
•90000
•015 7080
54
•01500
•000 2618
55
•959 9311
115
2007 1286
175
3054 3262
55
•91667
•015 9989
55
•01528
•000 2666
56
•977 3844
116
2024 5819
176
3-071 7795
56
•93333
•016 2897
56
•01556
•000 2715
57
•994 8377
117
2-042 0352
177
3089 2328
57
•95000
•016 5806
57
•01583
•000 2763
58
1-012 2910
118
2-059 4885
178
3-106 6861
58
•96667
■016 8715
58
•01611
•000 2812
59
1029 7443
119
2-076 9418
179
3-124 1394
59
•98333
•017 1624
59
•01639
•000 2860
60
1047 1976
120
2-094 3951
180
3141 5927
60
1-00000
017 4533
60
■01667
•000 2909
126
Tables for Statisticians and Biometriciaim
TABLE LIV. The G(r, v)-Integrals.
6
7
8
9
10
11
12
13
u
15
16
17
18
19
21
25
SO
SI
32
3S
U
35
36
37
38
39
40
42
43
U
45
r=l
logF(r, v)
0-301 0300
•301 0609
•301 1538
•301 3087
•301 5262
•301 8067
•302 1508
•302 5594
•303 0335
■303 5741
•304 1825
■304 8603
■305 6091
•306 4307
•307 3271
•308 3006
•309 3538
•310 4892
•311 7098
•313 0189
•314 4200
•315 9169
•317 5137
•319 2150
•321 0256
•322 9507
•324 9963
•327 1685
•329 4740
•331 9202
■334 5150
■337 2672
•340 1860
•343 2818
•346 5656
•350 0496
•353 7469
•357 6722
•361 8410
•366 2708
•370 9805
•375 9908
•381 3246
•387 0070
•393 0658
•399 5316
309
928
1550
2175
2805
3441
4086
4740
5406
6085
6778
7488
8216
8964
9735
10532
11353
12206
13091
14011
14969
15968
17013
18106
19252
20456
21722
23055
24462
25948
27521
29188
30958
32838
34840
36974
39252
41689
44298
47096
50103
53338
56824
60588
64058
A*
619
621
625
630
636
645
654
666
679
693
710
728
749
771
796
822
853
885
919
958
999
1045
1093
1146
1204
1266
1334
1407
1486
1673
1667
1769
1881
2002
2134
2279
2436
2609
2799
3007
3235
3486
3764
4069
r=2
logF(r, v)
0196 1199
•196 2052
•196 4614
•196 8890
•197 4890
•198 2627
•199 2118
•200 3385
•201 6452
•203 1349
•204 8110
•206 6774
•208 7382
•210 9985
•213 4631
•216 1383
•219 0303
•222 1462
•225 4936
•229 0807
•232 9167
•237 0114
•241 3755
■246 0203
•250 9584
•256 2034
•261 7697
•267 6733
•273 9311
•280 5618
•287 5852
•295 0232
■302 8992
•311 2388
•320 0695
•329 4214
•339 3271
•349 8221
•360 9451
•372 7382
•385 2475
•398 5232
•412 6205
•427 5995
•443 5266
•460 4745
logfffr, u)
196 1199
196 1391
196 1966
196 2924
196 4264
106 5985
196 8087
197 0567
197 3424
197 6655
198 0260
198 4234
198 8574
199 3280
199 8344
200 3764
200 9537
201 5657
202 2120
202 8921
203 6054
204 3514
205 1294
205 9387
206 7787
207 6487
208 5478
209 4753
210 4302
211 4118
212 4190
213 4509
214 5064
215 5846
216 6842
217 8041
218 9431
220 1000
221 2734
222 4621
223 6644
224 8791
226 1048
227 3397
228 5824
229 8313
192
575
958
1340
1722
2102
2480
2857
3231
3604
3974
4341
4705
5064
5420
5773
6120
6463
6801
7133
7460
7780
8093
8400
8700
8991
9275
9549
9816
10072
10319
10556
1 0782
10996
1 1199
1 1390
1 1569
1 1734
1 1886
1 2023
1 2148
1 2256
1 2350
1 2427
12489
A*
383
383
382
381
380
379
377
375
373
370
367
364
360
356
352
347
343
338
332
327
320
313
307
300
291
284
275
266
256
247
236
226
213
203
191
178
165
152
138
125
109
94
77
62
Tables of the G (r, v)-Integrals
TABLE LIV— {continued).
127
9
10
11
IS
IS
lit
IB
16
n
18
19
21
25
26
27
28
29
SO
SI
S2
SS
Sit
S5
36
87
38
39
¥>
41
43
44
45
r=3
log F(r,*)
0-124 9387
•125 0847
•125 5230
•126 2545
•127 2807
•128 6039
•130 2270
•132 1533
■134 3870
•136 9331
•139 7969
•142 9850
•146 5043
•150 3626
•154 5688
•159 1322
•164 0636
•169 3743
•175 0768
•181 1848
•187 7130
•194 6774
•202 0955
•209 9858
•218 3688
•227 2664
•236 7023
•246 7020
•257 2933
•268 5060
'280 3725
•292 9278
•306 2096
•320 2589
•335 1201
•350 8413
•367 4747
•385 0770
•403 7099
•423 4403
•444 3416
•466 4933
•489 9829
•514 9055
•541 3658
•569 4783
log H (r,v) [ A
0-275 4537
•275 4674
•275 5084
•275 5767
•275 6721
•275 7948
•275 9444
•276 1209
•276 3242
•276 5540
•276 8101
•277 0923
•277 4003
•277 7338
•278 0926
•278 4762
•278 8844
•279 3167
•279 7726
•280 2519
•280 7539
•281 2782
•281 8243
•282 3915
•282 9794
•283 5873
•284 2145
•284 8604
•285 5244
•286 2057
•286 9035
•287 6170
•288 3456
•289 0883
•289 8443
•290 6127
•291 3927
•292 1832
•292 9834
•293 7923
•294 6089
■295 4321
•296 2610
•297 0945
•297 9316
•298 7710
137
410
683
955
1226
1496
1766
2032
2298
2561
2822
3080
3336
3588
3837
4082
4323
4560
4793
5020
5243
5460
5673
5879
6079
6272
6460
6640
6813
6978
7136
7286
7427
7560
7684
7800
7905
8002
8166
8232
8289
8335
8371
8394
A-
r=4
273
273
272
271
270
269
267
266
263
261
258
256
252
249
245
241
237
233
228
223
217
212
206
200
194
188
180
173
165
158
150
141
133
124
115
106
97
87
77
67
57
46
36
23
log F (r, v)
0071 1811
•071 3902
•072 0177
•073 0650
•074 5342
•076 4285
•078 7517
•081 5088
•084 7055
•088 3486
•092 4458
•097 0060
•102 0399
•107 5555
■113 5680
•120 0895
•127 1349
•134 7199
■142 8621
•151 5802
•160 8948
•170 8281
•181 4042
•192 6491
•204 5907
■217 2596
•230 6885
•244 9127
•259 9707
•275 9034
■292 7555
•310 5754
•329 4149
•349 3304
•370 3832
•392 6390
•416 1697
•441 0529
•467 3733
•495 2227
•524 7011
•555 9177
•588 9916
•624 0530
■061 2446
•700 7225
logff(r,x)
0-309 7418
•309 7523
•309 7840
•309 8366
•309 9103
•310 0049
•310 1204
•310 2565
•310 4132
•310 5904
•310 7877
•311 0051
•311 2423
•311 4990
•311 7751
•312 0701
•312 3838
•312 7159
•313 0660
•313 4337
•313 8186
•314 2204
•314 6385
•315 0726
•315 5222
•315 9866
■316 4655
•316 9583
•317 4644
•317 9833
•318 5143
•319 0569
•319 6104
•320 1741
•320 7474
•321 3297
•321 9201
•322 5181
•323 1228
■323 7335
•324 3495
•324 9700
•325 5943
•326 2216
•326 8510
•327 4817
105
316
527
737
946
1154
1361
1567
1771
1973
2174
2372
2567
2760
2950
3137
3321
3501
3677
3849
4018
4181
4341
4495
4645
4789
4927
5062
5189
5310
5426
5535
5637
5733
5822
5904
5980
6047
6107
6160
6205
6243
6272
6295
6307
A-'
211
211
210
209
208
207
206
204
202
201
198
196
193
190
187
184
180
176
172
168
164
160
154
150
144
138
134
127
121
116
109
102
96
89
82
75
68
60
53
45
38
30
22
12
r=5
logf(r, »)
0028 0289
•028 3019
•029 1221
•030 4908
•032 4110
•034 8865
•037 9224
•041 5250
•045 7016
•050 4609
055 8130
•061 7690
•068 3415
•075 5446
•083 3937
•091 9061
•101 1002
•110 9967
•121 6176
•132 9872
•145 1317
•158 0795
•171 8614
•186 5105
•202 0627
•218 5568
•236 0346
•254 5413
•274 1255
•294 8399
•316 7413
•339 8909
•364 3553
•390 2059
•417 5203
•446 3827
•476 8841
•509 1232
•543 2072
•579 2529
•617 3872
•657 7483
•700 4872
•745 7688
•793 7739
•844 6999
log H ()-, v) A
0-329 0589
•329 0673
•329 0930
•329 1357
•329 1956
•329 2723
•329 3661
•329 4765
•329 6037
•329 7474
•329 9075
•330 0838
•330 2761
•330 4842
•330 7079
•330 9469
•331 2010
•331 4700
•331 7532
•332 0508
•332 3621
•332 6870
•333 0250
■333 3757
•333 7387
•334 1137
•334 5001
•334 8976
•335 3057
•335 7239
•336 1516
•336 5884
•337 0339
•337 4874
•337 9485
•338 4164
•338 8908
•339 3709
•339 8563
•340 3463
•340 8404
•341 3378
•341 8381
•342 3405
•342 8446
•343 3495
84
257
428
598
768
937
1105
1272
1437
1601
1763
1923
2081
2237
2390
2541
2689
2833
2975
3114
3249
3380
3507
3630
3750
3864
3975
4081
4182
4277
4368
4455
4535
4610
4680
4744
4802
4854
4900
4940
4975
5003
5024
5040
5049
173
171
171
170
169
168
167
165
164
162
160
158
156
153
151
148
144
142
138
135
131
127
123
119
115
110
106
101
96
91
87
80
75
70
64
58
52
46
40
34
28
22
16
9
128 Tables for Statisticians and Biometricians
TABLE UV— (continued).
r=6
-4
5
6
7
8
9
10
11
12
13
U
15
16
17
18
19
20
21
22
23
2A
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
4*
43
44
45
log F(r, v)
991 9999
992 3379
993 3526
995 0459
997 4213
000 4836
004 2390
008 6950
013 8607
019 7468
026 3653
033 7300
041 8562
050 7609
060 4633
070 9839
082 3457
094 5734
107 6941
121 7375
136 7352
152 7219
169 7350
187 8149
207 0053
227 3532
248 9095
271 7291
295 8713
321 3998
348 3836
376 8974
407 0214
'438 8428
472 4556
507 9618
545 4718
585 1052
626 9922
671 2739
718 1040
767 6502
820 0951
875 6383
934 4983
996 9145
log H (r,r)
0-341 4849
•341 4921
•341 5137
•341 5496
•341 5999
■341 6644
•341 7432
•341 8360
•341 9428
■342 0635
•342 1980
•342 3461
•342 5075
•342 6823
•342 8701
•343 0707
•343 2839
•343 5095
•343 7472
•343 9968
•344 2579
•344 5302
■344 8135
•345 1074
•345 4115
•345 7256
•346 0492
•346 3819
•346 7235
•347 0734
•347 4311
•347 7965
•348 1689
•348 5480
•348 9332
•349 3242
•349 7204
•350 1213
•350 5265
•350 9354
•351 3477
•351 7627
•352 1799
•352 5989
•353 0191
•353 4399
72
216
359
503
645
787
928
1068
1207
1345
1481
1615
1747
1878
2006
2133
2256
2377
2496
2611
2723
2833
2939
3041
3141
3236
3328
3415
3499
3577
3653
3724
3791
3852
3910
3962
4009
4052
4090
4122
4150
4172
4190
4202
4209
6?
144
144
143
143
142
141
140
139
137
136
134
133
131
128
127
123
121
119
115
112
109
106
103
99
95
92
88
84
78
76
71
66
62
57
52
47
43
38
33
28
22
17
12
7
r=7
logF(r, »)
1-961 0819
•961 4851
•962 6953
•964 7151
•967 5483
•971 2008
•975 6796
•980 9940
•987 1544
•994 1735
0-002 0658
•010 8465
■020 5347
•031 1503
•042 7157
■055 2551
•068 7956
•083 3665
•098 9997
•115 7298
•133 5946
•152 6347
•172 8941
•194 4206
•217 2653
•241 4839
•267 1362
•294 2868
•323 0053
•353 3670
•385 4529
•419 3506
•455 1549
•492 9680
•532 9005
•575 0721
•619 6127
•666 6629
•716 3753
■768 9159
•824 4653
•883 2199
■945 3944
I -Oil 2229
•080 9618
•154 8920
logff(M')
350 1576
350 1638
350 1824
350 2134
350 2567
350 3123
350 3801
350 4601
350 5522
350 6562
350 7720
350 8995
351 0386
351 1891
351 3508
351 5235
351 7071
351 9012
352 1058
352 3206
352 5452
352 7795
353 0232
353 2760
353 5375
353 8075
354 0857
354 3717
354 6652
354 9659
355 2732
355 5871
355 9070
356 2324
356 5632
356 8988
357 2388
357 5829
357 9306
358 2814
358 6350
358 9910
359 3488
359 7080
360 0682
360 4290
62
186
310
433
556
678
800
921
1040
1158
1275
1391
1505
1617
1727
1836
1942
2046
2148
2247
2343
2437
2528
2615
2700
2782
2860
2935
3007
3074
3138
3199
3255
3308
3356
3400
3441
3477
3509
3536
3559
3578
3592
3602
3608
tf
124
124
123
123
122
122
121
120
118
117
116
114
112
110
109
106
104
102
99
97
94
91
88
85
82
79
75
72
67
64
56
53
49
44
4(1
86
83
88
81
I!)
14
10
e
r=8
log F ()-,./)
1-934 0080
•934 4765
•935 8831
•938 2304
•941 5232
■945 7679
•950 9729
•957 1486
•964 3073
•972 4634
•981 6333
•991 8357
0003 0914
•015 4237
•028 8583
•043 4233
•059 1498
•076 0714
•094 2250
•113 6505
•134 3912
•156 4939
•180 0093
•204 9923
•231 5019
•259 6019
•289 3613
■320 8543
•354 1610
•389 3678
•426 5682
■465 8626
•507 3601
•551 1780
•597 4436
•646 2944
•697 8795
•752 3605
•809 9127
•870 7267
•935 0097
1-002 9876
•074 9063
•151 0352
•231 6680
•317 1271
',H(r,')
0-356 5570
•356 5624
•356 5788
•356 6059
•356 6440
•356 6928
•356 7524
•356 8226
•356 9034
•356 9947
•357 0964
•357 2083
•357 3304
•357 4625
•357 6044
•357 7560
•357 9170
•358 0874
•358 2669
•358 4553
•358 6524
.358 8579
•359 0716
■359 2933
•359 5226
■359 7594
•360 0033
•360 2540
•360 5112
•360 7747
■361 0441
•361 3191
■361 5993
•361 8844
■362 1741
•362 4681
•362 7659
•363 0671
•363 3715
•363 6787
•363 9883
■364 2998
•364 6130
•364 9274
•365 2427
•365 5584
54
163
272
380
488
596
702
808
913
1017
1120
1221
1321
1419
1516
1611
1704
1795
1884
1971
2055
2137
2217
2293
2368
2439
2507
2572
2635
2694
2750
2802
2851
2897
2939
2978
3013
3044
3072
3096
3116
3132
3144
3153
3157
A2
109
109
108
108
107
107
106
105
104
103
101
100
98
97
95
93
91
89
87
84
82
80
77
74
71
68
65
62
59
56
52
49
46
42
39
35
31
28
24
16
12
9
5
Tables of the G (r, v)- Integrals
TABLE LIV— {continued).
129
o
1
2
9
It
5
6
7
8
9
10
11
13
15
16
17
18
19
SI
22
23
21f
26
27
28
29
SO
31
32
33
Sk
35
36
37
38
39
40
41
42
43
U
45
r = 9
log F (r, v) log II (r, v)
1-909 9294
■910 4635
•912 0669
•914 7427
•918 4961
•923 3346
•929 2675
•936 3067
•944 4661
•953 7619
•964 2128
•975 8398
•988 6667
0002 7197
•018 0278
•034 6230
•052 5403
•071 8179
•092 4974
•114 6239
•138 2465
•163 4180
•190 1960
•218 6422
■248 8237
•280 8124
•314 6864
•350 5295
•388 4323
•428 4925
•470 8156
•515 5153
•562 7146
•612 5463
•665 1541
■720 6932
•779 3322
•841 2534
•906 6549
•975 7519
1-048 7784
•125 9892
•207 6624
•294 1013
•385 6379
•482 6360
B.
0-361 4744
•361 4793
■361 4938
■361 5180
•361 5520
•361 5955
•361 6485
•361 7111
•361 7831
•361 8644
•361 9550
•362 0547
•362 1635
•362 2812
•362 4075
•362 5426
•362 6860
•362 8378
•362 9976
•363 1654
•363 3409
•363 5239
•363 7142
•363 9115
•364 1157
•364 3264
■364 5435
•364 7666
•364 9955
•365 2300
•365 4697
•365 7144
•365 9636
•366 2173
•366 4750
•366 7365
•367 0013
•367 2693
•367 5400
•367 8131
•368 0884
■368 3654
•368 6438
•368 9233
•369 2036
■369 4842
49
146
242
339
435
531
626
720
813
906
997
1088
1177
1264
1350
1435
1518
1599
1678
1755
1830
1903
1973
2042
2107
2171
2231
2290
2345
2397
2447
2493
2537
2577
2615
2649
2680
2707
2731
2752
2770
2784
2795
2803
2806
A>
r = 10
log F(r,v) logH(r,y) A A 2
1-888 2505
•888 8502
•890 6508
■893 6556
•897 8705
•903 3037
•909 9658
•917 8700
•927 0317
■937 4692
•949 2033
•962 2575
•976 6581
•992 4345
0009 6193
•028 2479
•048 3595
•069 9966
•093 2058
•118 0374
•144 5461
•172 7910
•202 8360
•234 7504
•268 6087
■304 4913
•342 4851
•382 6838
•425 1882
•470 1076
•517 5593
•567 6703
•620 5776
•676 4293
•735 3855
•797 6194
•863 3188
•932 6869
1-005 9444
•083 3313
•165 1080
•251 5588
•342 9931
•439 7491
•542 1966
•C50 7407
0-365 3717
•365 3761
•365 3892
•365 4111
•365 4416
•365 4808
•365 5287
•365 5851
•365 6500
•365 7233
•365 8050
•365 8949
•365 9929
•366 0990
•366 2129
•366 3346
•366 4639
■366 6007
•366 7447
•366 8960
•367 0541
•367 2190
•367 3904
•367 5682
•367 7522
•367 9420
•368 1376
•368 3386
•368 5448
•368 7559
•368 9718
■369 1922
•369 4167
•369 6451
•369 8772
•370 1126
■370 3510
•370 5923
•370 8360
•371 0819
•371 3297
•371 5790
•371 8296
•372 0813
•372 3335
•372 5861
44
131
219
306
392
479
564
649
733
817
899
981
1061
1139
1217
1293
1368
1441
1512
1581
1649
1714
1778
1839
1899
1956
2010
2062
2112
2159
2203
2245
2284
2321
2354
2385
2412
2437
2459
2478
2494
2506
2516
2522
2526
r=ll
lo% F(r,v)
1-868 5367
•869 2023
•871 2002
•874 5345
•879 2114
•885 2402
•892 6324
■901 4027
•911 5681
■923 1487
•936 1674
•950 6505
•966 6268
•984 1288
0-003 1923
•023 8567
•046 1651
•070 1646
■095 9063
•123 4460
•152 8439
■184 1654
•217 4809
■252 8669
■290 4057
•330 1857
•372 3033
•416 8615
•463 9718
•513 7544
•566 3390
•621 8657
•680 4854
•742 3617
•807 6710
•876 6045
•949 3690
1-026 1888
■107 3073
•192 9888
•283 5209
•379 2165
■480 4171
•587 4953
•700 8587
•820 9540
logff(r, y)
0-368 5367
•368 5407
•368 5527
•368 5725
■368 6004
•368 6361
•368 6796
•368 7310
•368 7900
■368 8568
•368 9311
•369 0129
•369 1022
■369 1987
•369 3024
•369 4132
•369 5308
•369 6553
•369 7864
•369 9240
•370 0679
•370 2179
•370 3739
•370 5357
•370 7030
•370 8757
•371 0536
•371 2365
•371 4241
•371 6162
•371 8125
•372 0129
•372 2171
■372 4249
■372 6359
•372 8500
•373 0669
•373 2862
•373 5078
•373 7314
•373 9567
•374 1834
•374 4113
•374 6400
•374 8693
•375 0990
A ! A*
40
120
199
278
357
435
514
591
668
743
818
892
965
1037
1108
1177
1245
1311
1376
1439
1500
1560
1618
1673
1727
1779
1829
1876
1921
1964
2004
2042
2078
2110
2141
2169
2194
2216
2236
2253
2267
2279
2287
2293
2296
17
80
79
79
79
78
78
77
77
76
75
74
73
72
71
69
68
66
65
63
62
60
58
56
54
52
50
47
45
43
40
38
36
33
30
28
25
23
20
17
14
12
9
6
3
130
Tables for Statisticians and Biometricians
TABLE UN— (continued).
6
7
8
9
10
11
12
is
U
15
16
n
18
19
n
25
26
27
28
29
SO
SI
Si
35
S6
37
38
39
k0
u
J,5
r = V2.
log F(r,v)
1-850 4619
•851 1933
•853 3889
•857 0528
•862 1923
•868 8171
■876 9402
•886 5774
•897 7474
•910 4722
•924 7770
•940 6901
•958 2436
•977 4727
•998 4167
0021 1187
•045 6258
•071 9896
•100 2660
•130 5159
•162 8054
•197 2059
•233 7945
•272 6547
•313 8765
•357 5571
•403 8013
•452 7221
•504 4412
•559 0903
•616 8111
•677 7567
•742 0923
•809 9965
■881 6625
•957 2989
1037 1322
•121 4073
•210 3905
•304 3704
•403 6615
•508 6058
•619 5764
•736 9806
•861 2638
•992 9140
log H (r, v) A
0371 1582
•371 1619
•371 1729
•371 1912
•371 2166
•371 2494
•371 2893
•371 3364
•371 3907
•371 4519
•371 5201
•371 5952
•371 6771
•371 7656
•371 8608
•371 9624
•372 0703
•372 1845
•372 3048
•372 4310
•372 5630
■372 7006
•372 8437
•372 9921
•373 1456
•373 3040
•373 4672
■373 6349
•373 8069
•373 9831
•374 1631
•374 3469
•374 5341
•374 7246
•374 9182
•375 1145
•375 3133
•375 5144
•375 7176
•375 9226
•376 1291
•376 3370
•376 5458
•376 7555
•376 9657
•377 1762
36
110
183
255
328
400
471
542
613
682
751
819
886
951
1016
1080
1142
1203
1262
1320
1376
1431
1484
1535
1584
1632
1677
1720
1762
1801
1838
1873
1905
1935
1963
1988
2011
2032
2050
2065
2078
2089
2097
2102
2105
A«
73
78
73
72
72
71
71
70
89
SO
68
87
86
65
64
02
61
;-.!)
58
56
55
53
51
19
47
15
43
41
3!)
37
35
33
30
28
25
23
21
18
10
13
11
8
5
3
r=13
log F (r, v)
1-833 7746
•834 5719
■836 9652
•840 9592
•846 5615
•853 7829
•862 6374
•873 1421
•885 3174
•899 1873
•914 7789
■932 1233
•951 2549
■972 2124
•995 0382
0019 7792
•046 4865
■075 2161
•106 0288
•138 9908
•174 1737
•211 6551
•251 5187
•293 8552
•338 7623
•386 3455
•436 7186
•490 0042
•546 3346
•605 8526
•668 7120
•735 0790
•805 1331
•879 0680
•957 0932
1-039 4354
•126 3402
•218 0735
•314 9240
•417 2053
•525 2853
•639 4542
•760 1977
•887 9308
2023 1367
•166 3448
log H(r,v)
0-373 3653
•373 3686
•373 3787
•373 3956
•373 4192
•373 4494
•373 4864
•373 5299
•373 5800
■373 6365
•373 6995
•373 7689
•373 8445
•373 9263
•374 0142
•374 1081
•374 2078
•374 3132
•374 4243
•374 5409
•374 6628
•374 7899
•374 9221
•375 0591
•375 2008
•375 3472
•375 4978
•375 6527
•375 8115
•375 9742
•376 1405
•376 3102
•376 4831
•376 6589
•376 8376
•377 0188
•377 2024
•377 3881
•377 5757
•377 7649
•377 9556
•378 1475
•378 3403
•378 5338
•378 7279
•378 9222
6?
34
101
169
236
303
369
435
501
566
630
694
756
818
879
938
997
1055
1111
1166
1219
1271
1322
1370
1417
1464
1506
1549
1589
1627
1663
1697
1729
1759
1787
1812
1836
1857
1876
1893
1907
1919
1928
1936
1941
1943
(57
67
07
07
00
00
05
05
04
03
02
01
00
59
58
50
55
53
52
51
48
47
40
48
49
40
38
30
34
32
3D
88
20
23
21
19
17
14
12
10
7
5
2
r=li
log F (r, v)
1-818 2772
•819 1404
•821 7316
•826 0558
•832 1212
•839 9395
•849 5258
•860 8985
•874 0798
•889 0954
•905 9746
•924 7510
•945 4618
•968 1485
•992 8571
0019 6382
•048 5469
■079 6435
•112 9939
•148 6693
•186 7470
•227 3107
•270 4509
•316 2653
•364 8594
•416 3469
•470 8506
•528 5029
•589 4465
•653 8352
•721 8353
•793 6258
•869 4003
•949 3679
1-033 7545
•122 8047
■216 7831
•315 9768
•420 6970
•531 2818
•648 0989
•771 5487
•902 0674
2010 1318
•186 2627
•341 0309
log H{r,p)
0-375 2489
■375 2520
•375 2614
•375 2771
■375 2990
•375 3271
•375 3614
•375 4019
•375 4484
•375 5010
•375 5595
•375 6239
•375 6942
•375 7702
•375 8518
•375 9390
•376 0317
•376 1297
•376 2329
•376 3412
•376 4544
•376 5725
•376 6952
•376 8225
•376 9542
•377 0901
•377 2301
•377 3739
•377 5215
•377 6726
•377 8270
■377 9846
•378 1452
•378 3085
•378 4745
•378 6428
•378 8133
•378 9857
•379 1599
•379 3356
•379 5127
•379 6909
•379 8699
•380 0497
•380 2299
•380 4103
31
94
157
219
281
343
404
465
526
585
644
703
760
816
872
926
980
1032
1083
1133
1181
1228
1273
1317
1359
1399
1439
1476
1511
1544
1576
1606
1634
1659
1683
1705
1724
1742
1757
1771
1782
1791
1797
1802
1804
A*
03
63
62
62
62
61
61
60
60
59
58
57
56
55
54
53
52
51
50
48
47
45
44
42
40
39
37
35
33
32
30
28
26
24
22
19
18
15
13
11
9
7
5
2
Tables of the G (r, v)-Tntegrals
TABLE LIV— (continued).
131
r«=15
r = 16
r=17
1
2
S
4
5
6
7
8
9
10
11
IS
13
u
10
17
18
19
20
21
25
20
21
28
29
SO
SI
34
35
S6
37
38
S9
¥>
41
49
4S
U
log F (r, »)
803 8114
804 7405
807 5297
812 1842
818 7130
827 1285
837 44G9
849 6881
863 8758
880 0376
898 2051
•918 4141
•940 7047
•965 1215
•991 7138
0-020 5357
•051 6467
•085 1115
•121 0005
•159 3904
•200 3641
•244 0113
•290 4293
•339 7229
•392 0053
•447 3985
•506 0343
•568 0547
•633 6129
•702 8740
•776 0162
•853 2318
■934 7285
1-020 7304
•111 4801
•207 2399
•308 2938
•414 9495
•527 5412
•646 4313
•772 0144
•904 7199
2045 0157
•193 4131
■350 4709
•516 8011
logff(r,0
0-376 8754
•376 8783
•376 8871
•376 9018
•376 9222
•376 9485
•376 9805
•377 0183
•377 0617
•377 1108
•377 1655
•377 2256
•377 2912
•377 3622
•377 4384
•377 5199
•377 6064
•377 6979
•377 7942
•377 8953
•378 0011
■378 1113
•378 2259
•378 3448
•378 4677
•378 5946
•378 7252
•378 8595
■378 9973
•379 1383
•379 2825
•379 4296
•379 5795
•379 7320
•379 8869
•380 0440
•380 2031
•380 3641
•380 5267
•380 6907
•380 8560
•381 0223
•381 1894
•381 3572
•381 5254
•381 6938
29
88
146
205
262
321
378
435
491
547
602
656
710
762
814
915
964
1011
1057
1102
1146
1189
1229
1269
1307
1343
1377
1411
1442
1471
1499
1525
1549
1571
1591
1610
1626
1640
1653
1663
1671
1678
1682
1684
A2
log F (r, *)
59
66
58
58
58
57
57
M
50
55
54
54
53
52
51
50
49
48
40
45
41
43
41
39
38
3G
31
33
31
30
-28
86
24
22
20
18
17
14
12
11
8
6
4
2
1-790 2485
•791 2436
•794 2308
•799 2158
•806 2081
■815 2211
•826 2719
•839 3819
•854 5764
•871 8848
•891 3410
•912 9831
•936 8541
•963 0016
•991 4782
0022 3418
•055 6559
•091 4895
•129 9181
•171 0234
•214 8939
•261 6258
•311 3226
•364 0964
•420 0681
•479 3681
•542 1372
•608 5269
•678 7007
•752 8356
•831 1213
•913 7633
1-000 9834
093 0211
•190 1352
•292 6060
•400 7368
•514 8561
•635 3206
•762 5175
•896 8681
2038 8307
•188 9051
•347 6370
■515 6232
•693 5170
log H(t, v)
0-378 2941
•378 2969
•378 3051
•378 3188
•378 3380
•378 3626
•378 3927
•378 4281
•378 4688
■378 5149
•378 5661
•378 6226
•378 6841
•378 7507
•378 8222
•378 8985
•378 9796
•379 0654
•379 1558
■379 2506
•379 3498
•379 4532
•379 5606
•379 6721
•379 7874
•379 9063
•380 0289
•380 1548
•380 2839
•380 4162
•380 5514
•380 6893
■380 8299
•380 9729
•381 1181
•381 2654
•381 4146
•381 5655
•381 7180
•381 8718
•382 0267
■382 1826
•382 3393
•382 4966
•382 6543
•382 8122
82
137
192
246
300
354
408
460
513
564
615
666
715
764
811
858
904
948
992
1034
1075
1114
1153
1190
1225
1259
1292
1323
1352
1380
1405
1430
1452
1473
1492
1509
1525
1538
1549
1559
1567
1573
1577
1579
A 2
log F (r, y)
55
55
55
54
54
54
53
53
52
52
51
50
49
49
48
47
40
45
43
42
41
10
38
37
35
34
33
31
29
28
20
2 1
23
21
19
17
15
13
12
10
8
6
4
2
777 4825
778 5436
781 7289
787 0445
794 5004
804 1110
815 8945
829 8736
846 0751
864 5306
885 2758
908 3516
933 8035
961 6821
992 0436
024 9495
060 4672
098 6704
139 6392
183 4606
230 2288
280 0460
333 0225
389 2774
448 9393
512 1471
579 0504
649 8104
724 6013
8036106
887 0408
975 1103
068 0549
166 1294
269 6092
378 7922
494 0009
615 5849
43 9235
879 4285
2022 5477
•173 7686
•333 6229
•502 6906
•681 6063
•871 0649
log H (r, »)
0379 5425
•379 5450
•379 5528
•379 5657
•379 5838
•379 6070
•379 6352
•379 6686
•379 7070
•379 7503
•379 7986
•379 8517
•379 9096
•379 9723
•380 0396
•380 1115
•380 1878
•380 2686
•380 3537
•380 4430
•380 5363
•380 6336
•380 7348
•380 8397
•380 9482
•381 0602
•381 1756
•381 2941
•381 4157
•381 5402
•381 6674
•381 7973
•381 9296
•382 0642
•382 2009
•382 3395
•382 4800
•382 6220
•382 7655
■382 9102
•383 0561
•383 2028
•383 3503
•383 4984
•383 6468
•383 7953
26
78
129
181
232
283
333
384
433
483
531
579
627
673
719
764
808
851
893
933
973
1012
1049
1085
1120
1153
1185
1216
1245
1273
1299
1323
1346
1367
1387
1404
1420
1435
1448
1458
1468
1475
1480
1484
1486
52
52
51
51
51
51
50
50
49
49
48
47
47
46
45
44
43
42
41
40
39
37
36
35
33
32
31
29
28
26
24
23
21
20
18
16
14
13
11
9
7
6
4
17-2
132
Tables for Statisticians and Biometrieians
TABLE LIV— (continued).
r=18
r=19
r = 20
4
5
6
7
8
9
10
11
12
IS
U
15
16
17
IS
19
SO
SI
24
25
26
27
SO
SI
82
S3
34
S5
36
37
38
39
40
41
42
4»
U
45
log F (r, *)
1-7G5 4249
•766 5520
•769 9355
•775 5818
•783 5015
•793 7099
•806 2262
•821 0746
•838 2835
•857 8863
•879 9209
•904 4307
•931 4638
•961 0741
•993 3209
0-028 2696
•065 9915
•106 5648
•150 0744
•196 6125
•246 2790
•299 1823
•355 4391
•415 1758
•478 5288
•545 6451
•616 6833
•691 8145
•771 2230
•855 1078
■943 6834
1037 1813
•135 8513
•239 9636
■349 8099
•465 7060
■587 9937
•717 0435
•853 2571
•997 0711
2-148 9600
•309 4403
•479 0754
•658 4799
•848 3263
3-049 3507
log // (r, c) A
0380 6494
•380 6518
•380 6591
•380 6713
•380 6884
•380 7103
•380 7370
•380 7685
•380 8048
•380 8457
•380 8913
•380 9415
•380 9962
•381 0554
•381 1190
•381 1869
•381 2591
•381 3354
•381 4157
•381 5001
•381 5882
•381 6802
•381 7757
•381 8749
•381 9774
■382 0832
•382 1921
•382 3041
•382 4189
■382 5365
•382 6567
•382 7794
•382 9043
•383 0314
•383 1605
•383 2915
•383 4241
•383 5583
•383 6938
•383 8305
•383 9683
•384 1069
•384 2462
•384 3860
■384 5262
•384 6665
24
73
122
171
219
267
315
362
409
456
502
547
592
636
679
722
763
804
843
882
919
956
991
1025
1058
1089
1120
1148
1176
1202
1227
1249
1271
1291
1310
1326
1342
1355
1367
1377
1386
1393
1398
1402
1403
A D
log /<>,..)
1-754 0014
•755 1945
•758 7762
•764 7532
•773 1369
•783 9431
•797 1925
•812 9104
•831 1269
•851 8772
•875 2015
•901 1455
•929 7C03
•961 1026
•995 2351
032 2269
•072 1535
•115 0974
•161 1483
•210 4036
•262 9690
•318 9588
•378 4966
•441 7157
•508 7603
■579 7858
•654 9597
•734 4627
•818 4896
•907 2506
1-000 9723
•099 8993
•204 2956
■314 4464
•430 6601
•553 2702
•682 6377
•819 1539
•963 2435
2-115 3673
•276 0267
•445 7673
•625 1841
•814 9263
3 015 7041
•228 2952
log H{r,v)\ A
0-381 6376
•381 6399
•381 6469
•381 6584
•381 6746
•381 6954
•381 7207
•381 7505
•381-7849
•381 8237
•381 8669
•381 9144
•381 9663
•382 0224
•382 0826
•382 1470
•382 2154
•382 2877
•382 3638
•382 4437
•382 5273
•382 6144
•382 7049
•382 7988
•382 8960
•382 9962
•383 0994
•383 2055
•383 3143
•383 4257
•383 5396
•383 6558
•383 7742
•383 8946
•384 0170
•384 1411
•384 2667
•384 3938
•384 5222
•384 6518
•384 7823
•384 9136
•385 0455
•385 1780
•385 3108
•385 4437
23
70
116
162
208
253
299
343
388
432
476
519
561
603
643
684
723
761
799
836
871
906
939
971
1002
1032
1061
1088
1114
1139
1162
1184
1204
1223
1241
1257
1271
1284
1295
1305
1313
1320
1324
1328
1330
A-
logf(r.K)
tf
48
46
M
40
45
45
45
41
44
43
49
■1-2.
41
10
aa
aa
38
37
M
35
33
89
31
30
2f)
27
96
98
^3
22
90
19
17
10
II
13
11
10
8
7
6
3
2
1-743 1485
•744 4077
•748 1876
•754 4955
•763 3431
•774 7474
•788 7299
•805 3174
•824 5417
■846 4398
•871 0541
•898 4326
•928 6293
•961 7039
•997 7224
0036 7574
•078 8894
•124 2043
•172 7969
•224 7699
•280 2346
■339 3115
•402 1306
•468 8327
•539 5095
•614 5047
•693 8148
•777 6902
•866 3362
•959 9740
1-058 8424
•163 1992
•273 3224
•339 5124
•512 0941
•641 4188
•777 8668
•921 8503
2073 8165
•234 2509
•403 6815
•582 6831
•771 8822
•971 9629
3183 6730
•407 8314
log H (>;v) A
0-382 5253
•382 5275
•382 5341
•382 5451
•382 5605
•382 5802
•382 6042
•382 6326
•382 6652
■382 7021
•382 7432
•382 7883
•382 8376
•382 8909
•382 9482
•383 0093
•383 0743
•383 1430
•383 2153
•383 2912
•383 3706
•383 4534
•383 5394
•383 6286
■383 7209
•383 8162
•383 9142
•384 0150
•384 1184
•384 2243
•384 3325
•384 4429
•384 5554
•384 6698
•384 7860
•384 9039
•385 0233
•385 1440
•385 2660
•385 3891
•385 5130
•385 6378
•385 7632
•385 8890
■386 0151
•386 1414
22
66
110
154
197
241
284
327
369
411
452
493
533
573
611
650
687
724
759
794
828
860
892
923
952
981
1008
1034
1059
1082
1104
1125
1144
1162
1179
1194
1208
1220
1231
1240
1247
1254
1258
1261
1263
A*
44
44
44
44
43
43
43
42
42
41
41
40
40
39
39
37
37
36
35
34
33
32
31
30
28
27
26
25
23
22
21
19
18
17
15
14
12
11
9
8
I
Tables of the G (r, v)-lntegrals
TABLE LIV— (continued).
133
r=21
r=22
• = 23
6
7
8
9
10
11
12
13
U
15
16
17
18
19
20
25
27
SO
SI
82
S3
35
36
37
38
89
40
41
42
43
44
45
log F (r, x) log H (r, v)
1-732 8121
734 1352
•738 1155
•744 7542
•754 0660
•766 0683
•780 7641
■798 2414
•818 4736
•841 5196
•867 4241
•896 2374
•928 0162
•962 8233
0000 7283
•041 8074
•086 1444
•133 8306
•184 9653
•239 6563
•298 0208
•360 1851
•426 2861
•496 4716
•570 9011
•649 7464
•733 1933
■821 4416
•914 7070
1013 2222
•117 2380
•227 0250
•342 8756
•465 1055
•594 0558
•730 0957
•873 6248
2-025 0761
•184 9195
•353 6651
•531 8676
•720 1308
•919 1130
3-129 5327
•352 1756
•587 9021
383 3271
383 3292
383 3354
383 3459
383 3606
383 3793
383 4022
383 4293
383 4604
383 4955
383 5346
383 5776
383 6245
383 6753
383 7299
383 7881
383 8500
383 9154
383 9843
384 0566
384 1322
384 2111
384 2930
384 3780
384 4659
384 5566
384 6500
384 7460
384 8445
384 9453
385 0484
385 1535
385 2607
385 3696
385 4803
385 5926
385 7063
385 8213
385 9375
386 0547
386 1728
386 2916
386 4110
386 5308
386 6510
386 7712
&
log F (r,v)
21
63
105
146
188
229
270
311
351
391
430
469
508
545
582
619
654
689
723
756
788
820
850
879
907
934
960
985
1008
1031
1052
1071
1090
1107
1123
1137
1150
1162
1172
1181
1188
1194
1198
1201
1203
1722 9451
•724 3364
•728 5130
•735 4826
•745 2584
•757 8590
•773 3082
•791 6354
•812 8757
•837 0698
•864 2646
•894 5129
•927 8740
•964 4139
0-004 2054
•047 3287
•093 8713
•143 9291
•197 6061
•255 0156
•316 2801
•381 5322
•450 9155
•524 5848
•602 7073
•685 4632
•773 0472
•865 6689
•963 5543
1-066 9472
•176 1108
•291 3286
•412 9072
•541 1773
•670 4967
•819 2523
•969 8630
2-128 7827
•296 5039
•473 5612
•660 5361
•858 0615
3066 8272
•287 5865
■521 1629
•768 4580
log #(»•,«)
384 0548
384 0568
384 0628
384 0728
384 0867
384 1047
384 1266
384 1523
384 1820
384 2155
384 2529
384 2940
384 3388
384 3872
384 4393
384 4949
384 5540
384 6164
384 6822
384 7513
384 8235
384 8987
384 9770
385 0581
385 1420
385 2286
385 3178
385 4094
385 5034
385 5996
385 6980
385 7984
385 9007
386 0047
386 1104
386 2175
386 3261
386 4359
386 5468
386 6586
386 7713
386 8848
386 9987
387 1131
387 2278
387 3426
log F (»-,*)
20
60
100
140
179
219
258
297
335
373
411
448
485
521
556
591
625
658
690
722
753
782
811
839
866
892
916
940
962
984
1004
1023
1040
1057
1072
1085
1098
1109
1119
1127
1134
1140
1144
1147
1148
40
40
40
40
aa
39
39
38
38
38
37
37
aa
35
35
34
33
32
31
31
30
aa
28
27
26
25
24
22
21
20
19
18
16
15
14
12
11
10
8
7
(i
4
3
1
1-713 5069
•714 9643
•719 3391
•726 6397
•736 8798
•750 0786
•766 2613
•785 4585
•807 7070
•833 0493
•861 5346
•893 2180
•928 1617
•966 4346
0-008 1129
•053 2804
■102 0289
•154 4586
•210 6783
•270 8064
•334 9713
•403 3116
•475 9774
•553 1308
•634 9466
•721 6136
•813 3351
•910 3304
1-012 8362
•121 1074
•235 4191
•356 0681
•483 3750
•617 6859
•759 3748
•908 8466
2-066 5394
•232 9279
■408 5272
•593 8968
•789 6446
•996 4325
3-214 9823
•446 0817
•690 5919
•949 4561
logff(r,x)
384 7182
384 7202
384 7259
384 7355
384 7488
384 7660
384 7869
384 8116
384 8400
384 8721
384 9078
384 9471
384 9899
385 0363
385 0861
385 1393
385 1958
385 2556
385 3185
385 3845
385 4536
385 5256
385 6004
385 6780
385 7583
385 8411
385 9264
386 0141
386 1040
386 1961
386 2902
386 3862
386 4840
386 5836
386 6846
386 7871
386 8910
386 9960
387 1021
387 2091
387 3169
387 4254
387 5344
387 6438
387 7535
387 8633
19
57
96
134
172
209
247
284
321
357
393
429
464
498
532
565
598
629
660
691
720
748
776
803
828
853
877
899
921
941
960
978
995
1011
1025
1038
1050
1061
1070
1078
1085
1090
1094
1097
1098
A2
38
38
38
38
38
37
37
37
36
36
36
35
34
34
33
33
32
31
30
29
28
28
27
26
25
24
23
22
20
19
18
17
16
14
13
12
11
10
8
7
134 Tables for Statisticians and Biometricians
TABLE LIV— (continued).
o
i
2
s
4
5
6
7
8
9
10
11
12
IS
U
IB
1G
17
18
19
SI
ss
2S
n
27
28
29
SO
SI
32
S3
Sit
S5
36
37
S8
S9
40
41
U
45
r = 24
Jagfta »)
1-704 4818
■705 9862
•710 5584
•718 1899
•728 8942
•742 6914
•759 6077
•779 6750
•802 9317
•829 4225
•859 1983
•892 3170
•928 8434
•968 8495
0-012 4148
•059 6268
•110 5814
•165 3831
•224 1458
•286 9928
•354 0583
•425 4870
•501 4356
■582 0734
■667 5830
•758 1612
•854 0205
•955 3899
1-062 5163
•175 6661
•295 1263
•421 2069
■554 2426
■094 5945
•842 6534
•998 8417
2163 6169
•337 4747
■520 9526
•714 6347
•919 1558
3-135 2068
•363 5411
•604 9809
•860 4254
4-130 8591
log H (r, v)
0-385 3256
•385 3275
•385 3330
•385 3421
•385 3549
•385 3714
•385 3915
•385 4151
•385 4423
•385 4730
■385 5073
•385 5450
•385 5860
•385 6305
•385 6782
•385 7292
•385 7834
•385 8406
•385 9009
•385 9642
•386 0304
•386 0994
•386 1711
•386 2455
■386 3225
•386 4018
•386 4836
•386 5676
•386 6538
•386 7420
•386 8322
•386 9242
•387 0180
•387 1134
■387 2102
•387 3085
•387 4080
•387 5086
•387 6103
•387 7128
•387 8162
•387 9201
•388 0246
•388 1295
•388 2346
•388 3398
18
55
92
128
164
201
236
272
307
342
377
411
444
477
510
542
573
603 I
633 '
662
690
717
744
769
794
818
840
862
882
902
920
938
954
969
982
995
1006
1017
1026
1033
1040
1045
1048
1051
1052
A-
37
37
86
86
36
86
86
35
80
34
34
31
83
83
32
31
30
80
as
28
27
26
26
25
21
23
22
21
18
18
17
16
15
14
13
11
10
9
8
6
6
3
3
1
r = 25
log F (r, »)
1-695 7781
•697 3569
•702 1393
■710 1019
•721 2704
•735 6660
•753 3158
•774 2534
•798 5185
■826 1578
•857 2243
■891 7784
•929 8876
•971 6270
0-017 0795
•066 3362
•119 4971
•176 6711
•237 9768
•303 5430
•373 5093
•448 0267
•527 2584
•611 3809
•700 5843
•795 0741
•895 0715
1-000 8153
•112 5627
•230 5913
•355 2004
•486 7129
•625 4776
•771 8709
•926 3001
2 '089 2053
•261 0633
•442 3906
•633 7476
•835 7426
3-049 0373
•274 3517
•512 4708
•764 2515
4030 6307
•312 6342
log H {>; v)
0-385 8838
•385 8855
•385 8908
•385 8996
•385 9119
•385 9277
■385 9470
•385 9697
•385 9958
•386 0253
•386 0582
■386 0943
•386 1338
•386 1764
■386 2223
•386 2712
•386 3232
■386 3782
•386 4361
•386 4969
•386 5604
•386 6267
•386 6955
•386 7669
•386 8408
•386 9170
•386 9955
•387 0762
•387 1589
•387 2436
•387 3302
•387 4185
•387 5085
•387 6001
•387 6931
•387 7874
■387 8829
•387 9795
•388 0771
•388 1756
•388 2748
•388 3746
•388 4749
•388 5766
•388 6765
•388 7775
A A 2
18
53
88
123
158
193
227
261
295
329
362
394
427
458
489
520
550
579
608
635
662
689
714
739
762
785
807
827
847
866
883
900
916
930
943
955
966
976
985
992
998
1003
1007
1009
1010
35
35
35
35
35
35
3-1
34
34
88
33
32
32
31
31
30
29
89
28
27
26
25
25
21
23
22
81
20
19
18
17
16
14
13
12
11
10
9
7
6
5
4
2
1
r = 26
\ogF(r,v)
1-687 4284
•689 0840
•694 0540
■702 3476
■713 9805
■728 9746
•747 3581
•769 1658
•794 4395
•823 2272
•855 5847
•891 5743
•931 2665
•974 7393
0-022 0791
■073 3806
•128 7480
•188 2945
•252 1435
•320 4290
■393 2963
•470 9025
•553 4176
•641 0250
•733 9226
■832 3242
•936 4600
1-046 5783
•162 9470
•285 8547
•415 6129
•552 5576
•697 0516
•849 4867
2-010 2864
•179 9088
•358 8499
•547 6471
•746 8833
•957 1916
3179 2602
•413 8384
•661 7426
•923 8647
4-201 1786
•494 7524
log H(r,v) A A*
0-386 3984
•386 4001
•386 4052
•386 4136
■386 4254
•386 4406
•386 4591
•386 4810
•386 5061
•386 5345
•386 5661
■386 6009
•386 6388
•386 6798
•386 7239
•386 7710
•386 8210
•386 8738
•386 9295
•386 9880
•387 0491
•387 1128
•387 1790
•387 2477
•387 3187
•387 3920
•387 4674
•387 5450
•387 6246
■387 7060
•387 7893
•387 8742
•387 9608
•388 0488
•388 1382
•388 2289
•388 3208
•388 4137
•388 5075
•388 6022
•388 6975
•388 7935
•388 8900
•388 9868
•389 0838
•389 1810
17
51
85
118
152
185
218
251
284
316
348
379
411
440
471
500
529
557
584
611
637
662
687
710
733
755
776
796
815
833
850
865
880
894
907
919
929
938
947
954
960
964
968
970
972
Tables of the G (r, v)-Integrals
TABLE LIV— (continued).
135
f"
r=27
r=28
r=29
\og F(r,v)
log B(r,v)
A
A 8
logf(r,»)
log H(r,v)
A
A a
log F(r,y)
log If (r, »)
A
A s
1-679 3877
0-386 8744
16
49
81
114
146
1-671 6341
0-387 3160
16
47
79
110
141
T-664 1478
0-387 7268
15
46
76
106
136
1
•681 1094
•386 8760
33
•673 4219
•387 3176
31
•666 0017
•387 7283
30
2
•686 2778
•386 8809
33
•678 7887
•387 3223
31
•671 5669
•387 7328
30
3
•694 9025
•386 8891
32
•687 7445
•387 3301
31
•680 8538
•387 7404
30
4
•706 9998
•386 9005
32
•700 3062
•387 3411
31
•693 8799
•387 7510
30
5
•722 5923
•386 9151
32
•716 4973
•387 3552
31
•710 6695
•387 7647
30
6
•741 7096
•386 9329
178
210
242
273
304
32
•736 3483
•387 3724
172
203
233
264
293
31
•731 2544
•387 7813
166
196
225
254
283
30
7
•764 3877
■386 9539
32
•759 8968
•387 3927
30
•755 6734
•387 8008
30
8
•790 6698
•386 9781
31
•787 1876
•387 4160
30
•783 9728
•387 8234
29
9
•820 6063
•387 0055
31
•818 2728
•387 4424
30
•816 2068
•387 8488
29
10
•854 2546
•387 0359
31
•853 2121
•387 4717
30
•852 4372
•387 8772
29
11
•891 6799
■387 0694
335
365
395
424
453
30
■892 0731
•387 5041
323
352
381
409
437
29
•892 7340
•387 9084
312
340
368
395
422
28
12
•932 9552
•387 1059
30
•934 9315
•387 5393
29
•937 1757
•387 9424
28
is
•978 1615
•387 1454
29
'981 8715
•387 5774
28
•985 8495
•387 9792
27
U
0-027 3887
•387 1879
29
0-032 9863
•387 6183
28
0-038 8519
•388 0187
27
IS
•080 7353
•387 2332
28
•088 3780
•387 6620
27
•096 2888
•388 0609
26
16
■138 3092
•387 2814
482
509
536
563
588
28
•148 1586
•387 7084
464
491
517
543
567
27
•158 2763
•388 1057
448
474
499
524
548
26
17
•200 2283
•387 3323
27
•212 4505
•387 7576
26
•224 9410
•388 1531
25
18
•266 6208
•387 3859
26
•281 3865
•387 8093
25
•296 4208
•388 2031
25
19
•337 6258
•387 4422
26
•355 1112
•387 8635
25
•372 8653
•388 2555
24
SO
•413 3944
•387 5010
25
•433 7811
•387 9203
24
•454 4367
•388 3103
23
SI
•494 0896
•387 5624
613
638
661
684
706
24
•517 5657
•387 9794
592
615
638
660
681
23
•541 3106
•388 3674
571
594
616
637
657
23
22
•579 8882
•387 6261
24
•606 6479
•388 0409
23
■633 6767
•388 4268
22
23
•670 9806
•387 6923
23
•701 2256
•388 1047
22
•731 7398
•388 4883
21
n
•767 5727
•387 7607
22
•801 5122
•388 1706
21
•835 7212
•388 5520
20
25
■869 8863
•387 8312
21
■907 7380
•388 2387
20
•945 8594
•388 6177
20 J
26
•978 1616
•387 9039
727
747
766
784
802
20
1-020 1512
•388 3088
701
720
739
756
773
19
1-062 4115
•388 6854
677
696
713
730
747
19
27
1-092 6538
•387 9786
19
•139 0194
•388 3808
18
•185 6549
•388 7550
17
28
•213 6439
•388 0552
18
•264 6312
•388 4547
18
•315 8886
•388 8263
17
29
•341 4310
•388 1337
17
•397 2979
•388 5303
17
•453 4351
•388 8993
16
SO
•476 3386
•388 2138
16
•537 3550
•388 6077
16
•598 6420
•388 9740
15
31
•618 7157
•388 2956
818
833
848
861
873
15
•685 1648
•388 6865
789
804
818
830
842
15
•751 8846
•389 0501
762
776
789
802
813
14
32
•768 9393
•388 3790
14
•841 1182
•388 7669
14
•913 5680
•389 1277
13
S3
■927 4164
•388 4638
13
2-005 6375
•388 8487
13
2-084 1297
•389 2067
12
34
2-094 5869
•388 5499
12
•179 1790
•388 9317
12
■264 0426
•389 2868
11
35
•270 9268
•388 6372
11
•362 2366
•389 0159
11
•453 8181
•389 3682
10
36
•456 9512
•388 7257
885
895
904
912
918
10
•555 3447
•389 1012
853
863
872
879
886
10
•654 0100
•389 4505
824
833
841
849
855
9
37
•653 2186
•388 8151
9
•759 0825
•389 1875
9
•865 2184
•389 5338
8
38
•860 3344
■388 9055
8
•974 0781
•389 2746
7
3-088 0940
•389 6179
7
39
3 '078 9562
■388 9967
7
3-201 0137
•389 3625
7
•323 3436
•389 7028
6
40
•309 7991
•389 0885
6
•440 6310
•389 4511
5
•571 7357
•389 7883
5
41
•553 6412
•389 1809
924
929
932
934
936
5
•693 7374
•389 5402
891
896
899
901
902
4
•834 1065
•389 8744
860
865
868
870
871
4
42
•811 3309
•389 2738
3
•961 2127
•389 6298
3
4-111 3678
•389 9608
3
43
4-083 7948
•389 3670
2
4-244 0178
•389 7197
2
•404 5148
•390 0476
2
44
•372 0436
•389 4604
1
•543 2028
•389 8098
1
•714 6355
•390 1346
1
45
•677 1878
•389 5540
•859 9176
•389 9000
5-042 9213
•390 2217
136
Tables for Statisticians and Biometriciam
TABLE LIV—(cuntinued).
9
10
11
12
13
14
in
16
17
18
19
20
21
22
..'.:
24
27
29
SO
37
38
.10
40
41
42
U
46
r=30
log F(r, p)
1 656 9109
•058 8309
064 5945
•074 2126
087 7031
■705 0914
■726 4101
■751 6995
•781 0077
•814 3906
•851 9121
•893 6447
•939 6098
•990 0775
0-044 9676
•104 4498
•168 6443
•237 6820
•311 7056
•390 8701
•475 3432
•565 3065
•660 9566
•762 5053
•870 1810
■984 2323
1-104 9235
•232 5 123
•367 3981
•509 8245
•660 1814
•818-8570
•986 2707
2-162 8749
•349 1593
•545 6529
•752 9288
■971 6080
3 202 3639
•445 9277
■703 0947
•974 7302
4-261 7776
•505 2668
•886 3234
5-220 1801
log // (r, v)
0-388 1099
•388 1113
•388 1157
•388 1231
•388 1333
•388 1465
■388 1625
■388 1815
•388 2032
•388 2278
•388 2552
•388 2854
•388 3183
•388 3538
•388 3920
•388 4328
•388 4762
•388 5220
•388 5703
•388 6209
•388 6739
•388 7291
•388 7865
•388 8460
•388 9076
•388 9711
•389 0366
•389 1038
•389 1727
•389 2433
•389 3155
•389 3891
•389 4642
■389 5405
•389 6180
•389 6966
•389 7762
•389 8567
•389 9380
•390 0201
•390 1028
•390 1859
•390 2695
•390 3534
•390 4375
•390 5217
A-
15
44
73
103
132
161
189
218
246
274
302
329
356
382
408
433
458
483
507
530
552
574
595
616
635
654
672
690
700
722
736
750
763
775
786
796
805
813
820
827
832
836
839
841
842
r=31
log F(r,v)
649 9073
651 8935
657 8555
667 8048
681 7598
699 7466
721 7993
747 9592
778 2762
812 8080
851 6207
894 7893
942 3977
994 5394
051 3173
112 8450
179 2464
250 6573
327 2249
409 1093
496 4842
589 5372
688 4714
793 5058
904 8771
022 8405
147 6710
279 6653
419 1433
566 4498
721 9568
886 0657
059 2096
241 8567
434 5127
037 7246
852 0847
078 2349
316 8712
568 7494
834 6915
115 5919
412 4256
726 2571
058 2499
409 0782
log//(r, v)
0-388 4679
•388 4694
•388 4736
•388 4808
•388 4906
•388 5034
•388 5189
•388 5372
•388 5583
•388 5822
•388 6086
•388 6378
•388 6696
•388 7041
•388 7410
•388 7805
•388 8225
•388 8668
•388 9136
•388 9626
•389 0138
•389 0673
•389 1228
•389 1804
•389 2400
•389 3015
•389 3648
•389 4299
•389 4966
•389 5649
•389 6348
•389 7060
•389 7786
•389 8525
•389 9275
•390 0035
•390 0806
•390 1585
•390 2372
•390 3100
•390 3960
•390 4771
•390 5580
•390 0392
•390 7206
■390 8021
14
43
71
99
127
155
183
211
238
265
292
318
344
370
395
419
444
467
490
513
534
556
570
596
615
633
650
667
683
698
713
726
738
750
761
770
779
787
794
800
805
809
812
814
815
A'
)- = 32
log *'(<-, i>)
1-643 1220
•045 1748
•051 3354
■061 6158
•676 0352
•694 6208
•717 4073
•744 4379
•775 7637
•811 4444
■851 5483
•896 1530
•945 3449
•999 2205
0-057 8864
•121 4595
•190 0681
•263 8522
•342 9638
•427 5684
•517 8452
•613 9879
•716 2063
■824 7266
•939 7929
1-061 6692
•190 6391
•327 0091
•471 1094
•623 2962
•783 9534
•953 4956
2-132 3701
■321 0601
•520 0879
•730 0183
•951 4628
3-185 0841
•431 6009
•691 7938
•366 5111
4-256 6765
•563 2967
•887 4707
5-230 3999
•593 3997
log // (r, •>)
A A-
0-388 8034
•388 8048
•388 8089
■388 8158
•388 8254
•388 8378
•388 8528
■388 8706
•388 8910
•388 9140
•388 9397
•388 9680
•388 9988
•389 0322
•389 0680
•389 1062
■389 1469
•389 1899
•389 2351
•389 2826
•389 3323
•389 3840
■389 4379
•389 4937
•389 5514
•389 6109
•389 0723
•389 7353
•389 8000
•389 8001
•389 9338
■390 0028
•390 0732
•390 1447
•390 2174
•390 2911
•390 3657
•390 4412
•390 517 1
•390 5944
•390 6719
•390 7498
•390 8282
•390 9069
•390 9857
•391 0646
14
41
69
90
123
151
177
204
231
257
283
308
333
358
383
406
430
453
475
497
518
538
558
577
596
613
630
646
662
677
090
703
715
727
737
746
755
763
769
775
780
784
787
789
789
28
27
27
27
27
27
27
26
26
26
26
25
25
24
24
23
23
22
22
21
20
20
19
19
18
17
16
15
15
14
13
12
11
10
9
9
8
7
6
5
4
3
2
1
Tables of the G (r, v)-Inteyrals
TABLE IAY— (continued).
137
o
1
2
S
4
5
6
7
8
9
10
11
12
13
'4
15
16
n
18
19
20
21
9.9.
25
'26
27
28
29
90
SI
S2
3b
36
87
38
39
ItO
hi
m
43
44
45
r = 33
log F(r, v)
1-636 5434
•638 6617
■645 0208
•655 6323
•670 5163
•689 7005
■713 2210
•741 1222
■773 4568
•810 2865
■851 6818
•897 7225
•948 4980
0004 1077
•064 6615
•130 2802
•201 0960
•277 2533
•358 9091
•446 2340
■539 4127
•638 6453
•744 1480
•856 1542
•974 9160
1100 7050
•233 8145
•374 5602
•523 2830
■680 3501
•846 1578
2021 1335
•205 7387
•400 4717
•605 8714
•822 5204
3-051 0494
•292 1420
•546 5396
•815 0471
4-098 5399
•397 9704
•714 3773
5-048 3939
•402 7696
•777 3311
log H (r, v)
0-389 1183
•389 1197
•389 1237
•389 1304
•389 1397
•389 1516
•389 1662
■389 1835
■389 2033
•389 2256
•389 2505
•389 2780
•389 3078
•389 3402
•389 3749
•389 4120
•389 4514
■389 4931
■389 5370
•389 5830
•389 6312
•389 6814
•389 7336
■389 7877
•389 8437
•389 9014
•389 9609
•390 0220
■390 0847
•390 1489
•390 2145
•390 2815
•390 3497
•390 4190
•390 4895
•390 5610
•390 6333
•390 7065
•390 7805
•390 8551
•390 9302
•391 0058
•391 0818
•391 1581
•391 2345
•391 3111
13
40
67
93
120
146
172
198
224
249
274
299
323
347
371
394
417
439
461
482
502
522
541
560
578
595
611
627
642
656
669
682
693
705
715
724
732
739
746
751
756
760
763
765
766
if
r=34
log*' (r, v)
1-630 1576
•632 3421
•638 8996
■649 8424
•665 1908
•684 9738
•709 2283
•738 0001
•771 3436
•809 3225
•852 0090
•899 4858
•951 8449
0-009 1887
•071 6306
•139 2949
•212 3180
•290 8487
■375 0487
•465 0938
•561 1746
•663 4971
•772 2842
•887 7765
1010 2336
•139 9357
•277 1848
•422 3065
•575 6518
•737 5995
•908 5576
2088 9669
•279 3029
•480 0791
•691 8509
•915 2186
3150 8322
•399 3963
•661 6747
•938 4971
4230 7654
•539 4613
•865 6549
5-210 5144
•575 3166
•961 4600
logff(r, v)
0-389 4146
•389 4159
•389 4198
•389 4262
•389 4353
•389 4469
•389 4611
•389 4778
•389 4970
•389 5187
•389 5429
•389 5695
•389 5985
•389 6299
•389 6636
•389 6996
•389 7379
•389 7783
•389 8209
•389 8656
•389 9123
•389 9611
•390 0117
•390 0643
•390 1186
•390 1746
•390 2324
•390 2917
•390 3525
•390 4148
•390 4785
•390 5435
•390 6097
•390 6770
•390 7454
•390 8148
•390 8850
•390 9561
•391 0278
•391 1002
•391 1732
■391 2466
•391 3203
•391 3943
•391 4686
•391 5429
13
39
65
91
116
142
167
192
217
242
266
290
314
337
360
382
405
426
447
467
487
507
525
543
561
577
593
609
623
637
650
662
673
684
694
703
711
718
724
729
734
738
740
742
743
A'-'
r=35
log.F(r, v)
1-623 9542
•626 2048
•632 9608
■644 2348
•660 0478
•680 4295
■705 4180
■735 0604
•769 4129
•808 5407
•852 5188
•901 4317
•955 3744
0-014 4525
•078 7824
•148 4925
•223 7229
•304 6270
•391 3713
•484 1369
•583 1198
•688 5323
■800 6039
■919 5823
1-045 7350
•179 3502
•320 7390
•470 2366
•628 2047
•795 0329
•971 1417
2-156 9847
■353 0516
■559 8711
•778 0150
3-008 1016
•250 8000
■506 8356
•776 9950
4-062 1324
■363 1764
•681 1377
5-017 1183
•372 3207
■748 0596
6-145 7749
log U ('■.»)
389 6937
389 6949
389 6987
389 7050
389 7138
389 7251
389 7389
389 7551
389 7738
389 7948
389 8183
389 8442
389 8724
389 9029
389 9356
389 97U0
390 0078
390 047 1
390 0884
390 1319
390 1773
390 2246
390 2738
390 3248
390 3776
390 4321
390 4881
390 5458
390 6049
390 6654
'390 7273
390 7904
390 8547
390 9201
390 9865
391 0539
391 1222
391 1912
391 2609
391 3312
391 4021
391 4734
391 5450
391 6169
391 6890
391 7612
13
38
63
88
113
138
162
187
211
235
259
282
305
328
350
372
393
414
434
454
473
492
510
528
545
561
576
591
605
619
631
643
654
664
674
682
690
697
703
709
713
716
719
721
722
A a
25
25
25
25
25
25
24
24
24
24
23
23
23
22
22
21
21
20
20
19
19
18
17
17
16
16
15
14
13
13
12
11
10
18
138
Tables for Statisticians and Biometriciaus
TABLE LIV— (continued).
6
7
8
9
10
11
12
IS
U
15
16
17
18
19
20
28
24
25
26
29
30
SI
S2
S3
81*
85
S6
S7
S8
SO
¥>
42
43
44
45
r =36
log F(r, v)
1-617 9231
•620 2399
•627 1943
•638 7995
■655 0771
•676 0575
■701 7800
•732 2932
•767 6546
•807 9316
•853 2010
•903 5502
•959 0766
0-019 8889
•086 1070
•157 8628
•235 3007
•318 5782
■407 8669
•503 3529
•605 2380
•713 7407
•829 0968
•951 5615
1-081 4096
•218 9381
•364 4667
•518 3405
•680 9313
•852 6402
2033 8997
•225 1766
•426 9744
•639 8374
■864 3536
3101 1591
•350 9424
•614 4497
•892 4902
4-185 9427
•495 7624
•822 9894
5-168 7569
•534 3023
•920 9782
6330 2655
log H{r, v)
389 9572
389 9584
389 9620
389 9682
389 9767
389 9877
390 0011
390 0168
390 0350
390 0555
390 0783
390 1035
390 1309
390 1605
390 1924
390 2264
390 2625
390 3007
390 3409
390 3832
390 4273
390 4733
390 5212
390 5708
390 6221
390 6750
390 7296
390 7856
390 8431
390 9019
390 9621
391 0234
391 0859
391 1495
391 2141
391 2796
391 3460
391 4131
391 4809
391 5492
391 6181
391 6874
391 7571
391 8270
391 8971
391 9673
12
37
61
85
110
134
158
182
205
228
251
274
296
318
340
361
382
402
422
441
460
478
496
513
529
545
560
575
588
601
614
625
636
646
655
664
671
678
684
689
693
697
699
701
702
if
r=37
log F(r, v)
1-612 0550
•614 4378
•621 5908
•633 5272
•650 2694
•671 8485
•698 3051
•729 6890
•766 0594
•807 4855
•854 0464
•905 8318
•962 9420
0025 4886
•093 5948
•167 3965
•247 0418
•332 6929
•424 5260
•522 7325
•627 5199
•7391128
•857 7536
•983 7045
1-117 2483
•258 6900
•408 3585
•566 6085
•733 8222
•910 4119
2-096 8223
•293 5330
■501 0620
•719 9685
•950 8571
3-194 3816
•451 2499
•722 2290
4008 1507
•309 9183
■628 5140
•965 0066
5320 5613
•696 4499
6094 0627
•514 9222
log II (r, v)
•0390 2063
■390 2074
•390 2110
•390 2170
•390 2253
•390 2360
■390 2490
•390 2643
•390 2820
•390 3020
•390 3242
•390 3486
•390 3753
•390 4041
•390 4351
•390 4682
•390 5034
•390 5405
•390 5797
•390 6208
•390 6637
•390 7085
•390 7551
■390 8033
•390 8532
•390 9048
•390 9578
•391 0123
•391 0682
■391 1255
■391 1840
•391 2437
•391 3046
■391 3664
•391 4293
•391 4930
•391 5576
■391 6229
•391 6888
•391 7553
•391 8224
•391 8898
•391 9576
•392 0256
•392 0938
■392 1621
12
36
60
83
107
130
154
177
200
222
245
267
288
310
331
352
372
391
411
430
448
466
483
499
515
530
545
559
573
585
597
608
619
628
637
646
653
659
665
670
674
678
680
682
683
&«
r = 38
log F(r,v)
1-606 3413
•608 7902
•616 1417
•628 4093
•645 6161
•667 7940
•694 9847
•727 2393
•764 6187
•807 1940
•855 0464
•908 2680
■966 9620
0-031 2429
•101 2374
•177 0849
•258 9378
•346 9624
•441 3400
■542 2671
■649 9569
•764 6400
•886 5655
1-016 0028
•153 2423
•298 5974
•452 4059
•615 0321
•786 8688
•968 3394
2-159 9006
•362 0454
•575 3055
•800 2556
3037 5167
■287 7604
•551 7138
•830 1647
4-123 9677
•434 0507
•761 4223
5-107 1807
•472 5225
•858 7544
6 267 3043
•699 7361
log H{r,v)\ A A*
I
0.390 4421
•390 4433
•390 4468
•390 4526
•390 4607
•390 4711
•390 4837
•390 4987
•390 5159
•390 5353
•390 5569
•390 5808
•390 6067
•390 6348
•390 6650
•390 6972
•390 7314
•390 7676
•390 8057
•390 8457
•390 8876
•390 9312
•390 9765
•391 0235
•391 0721
•391 1223
•391 1739
•391 2270
•391 2815
•391 3372
•391 3942
•391 4523
•391 5115
■391 5718
•391 6330
•391 6950
•391 7579
■391 8215
•391 8857
•391 9505
•392 0157
•392 0814
■392 1474
•392 2136
•392 2800
•392 3465
12
35
58
81
104
127
149
172
194
216
238
260
281
302
322
342
362
381
400
418
436
453
470
486
502
517
531
545
557
570
581
592
603
612
621
629
636
642
648
653
657
660
662
664
665
23
23
23
23
23
23
23
22
22
22
22
21
21
20
20
20
19
19
18
18
17
17
16
16
15
14
14
13
12
12
11
10
9
9
8
7
6
6
5
4
Tables of the G (r, v)- Integrals
TABLE LI V— (continued).
139
s
9
10
11
12
13
U
15
16
17
18
19
20
21
**
25
26
27
28
29
SO
SI
32
S3
34
35
36
37
38
39
40
41
42
4S
44
45
r=39
logF(r, v)
1-600 7740
603 2891
■610 8391
■623 4380
•641 1093
•663 8860
•691 8107
■724 9361
•763 3246
•807 0490
•856 1930
•910 8510
•971 1287
0-037 1440
•109 0268
•186 9202
•270 9806
•361 3789
■458 3010
•561 9488
•672 5410
•790 3143
•915 5247
1-048 4484
•189 3837
•338 6522
•496 6007
•663 6033
•840 0630
2 026 4145
•223 1268
•430 7056
•649 6970
•880 6908
3-124 3244
•381 2874
•652 3259
•938 2488
4-239 9332
•558 3315
•894 4793
5-249 5035
•624 6328
6-021 2079
•440 6950
•884 6991
log H (r,y)
03a0 6658
•390 6669
•390 6703
•390 6760
•390 6838
■390 6940
•390 7063
•390 7209
•390 7377
•390 7566
•390 7777
•390 8009
•390 8262
■390 8535
■390 8829
•390 9143
•390 9477
•390 9829
■391 0201
•391 0591
•391 0998
•391 1423
•391 1865
•391 2323
•391 2796
•391 3285
•391 3788
•391 4306
•391 4836
•391 5379
•391 5935
•391 6501
•391 7078
•391 7665
•391 8261
•391 8866
•391 9479
•392 0098
•392 0724
•392 1355
•392 1991
•392 2631
•392 3274
•392 3919
•392 4566
•392 5213
A A2
11
34
56
79
101
124
146
168
189
211
232
253
274
294
314
334
353
371
390
408
425
442
458
474
489
503
517
530
543
555
566
577
587
596
605
612
619
626
631
636
640
643
645
647
648
r=40
logF (r, *)
1-595 3459
■597 9271
•605 6756
•618 6058
•636 7416
■660 1171
•688 7760
•722 7721
■762 1697
•807 0434
•857 4789
•913 5732
•975 4348
0043 1845
•116 9556
•196 8949
•283 1630
•375 9350
•475 4017
•581 7701
•695 2648
•816 1285
•944 6237
1081 0339
•225 6650
•378 8470
•540 9357
•712 3146
■893 3974
2-084 6300
•286 4933
•499 5062
•724 2290
■961 2666
321 1 2729
•474 9551
•753 0789
4-046 4738
•356 0397
•682 7535
5-027 6774
•391 9676
•776 8842
6-183 8028
•614 2272
7-069 8037
log H (r, v)
0-390 8782
•390 8793
•390 8826
•390 8881
•390 8958
•390 9057
•390 9177
•390 9319
•390 9483
•390 9667
■390 9873
■391 0099
•391 0346
•391 0612
•391 0899
•391 1205
•391 1530
•391 1874
•391 2236
•391 2616
•391 3014
•391 3428
•391 3859
•391 4305
•391 4767
•391 5243
•391 5734
•391 6238
•391 6756
•391 7285
•391 7827
•391 8379
■391 8942
■391 9514
•392 0095
■392 0685
•392 1282
•392 1886
•392 2496
•392 3112
•392 3732
•392 4355
•392 4982
•392 5612
•392 6242
•392 6874
11
33
55
77
99
120
142
163
185
206
226
247
267
287
306
325
344
362
380
397
414
431
447
462
477
491
504
517
530
541
552
563
572
581
590
597
604
610
615
620
624
627
629
630
631
A-
r = 41
logf (r, v)
1-590 0501
•592 6975
•600 6445
•613 9059
•632 5064
•656 4807
•685 8737
•720 7406
•761 1472
■807 1702
■858 8973
•916 4280
■979 8734
0-049 3576
•125 0171
•207 0023
•295 4780
•390 6238
•492 6351
•601 7243
•718 1215
•842 0755
•973 8556
1-113 7524
•262 0794
•419 1750
•585 4038
•761 1593
•946 8652
2-142 9789
•349 9933
•568 4405
•798 8947
3041 9761
•298 3551
•568 7567
•853 9658
4'154 8329
•472 2803
■807 3096
5-161 0098
•534 5660
•929 2701
6346 5322
•787 8938
7 255 0429
log H (r, v)
A A 2
0-391 0801
•391 0812
■391 0844
•391 0898
•391 0973
•391 1069
•391 1187
•391 1325
•391 1485
•391 1665
•391 1865
•391 2086
•391 2327
•391 2587
•391 2867
•391 3165
•391 3483
•391 3818
•391 4172
•391 4542
•391 4930
•391 5334
•391 5754
•391 6190
•391 6640
•391 7105
•391 7584
•391 8076
•391 8581
•391 9097
•391 9626
•392 0164
•392 0713
•392 1272
•392 1839
•392 2414
•392 2997
•392 3586
•392 4181
•392 4782
•392 5386
•392 5995
•392 6607
•392 7221
•392 7836
•392 8452
18—2
11
32
54
75
96
118
139
159
180
200
221
241
260
280
299
317
335
353
371
388
404
420
436
451
465
479
492
505
517
528
539
549
558
567
575
583
589
595
600
605
609
612
614
615
616
21
21
21
21
21
21
21
21
20
20
20
20
19
19
19
18
18
17
17
16
16
16
15
14
14
13
13
12
11
11
10
9
9
140
Tables for Statisticians and Biometricians
TABLE LIV— (continued).
6
7
S
9
10
11
12
IS
H
15
16
n
18
19
80
21
22
23
26
27
28
29
SO
SI
S2
S3
SI,
35
86
37
¥>
V-
4*
43
U
45
■/■=42
log F (r, v)
1-584 8804
•587 5939
•595 7394
•609 3321
•628 3972
•652 9704
•683 0975
•718 8352
•760 2510
•807 4232
•860 4419
•919 4089
•984 4383
0-055 6569
•133 2048
•217 2361
•307 9195
•405 4390
•509 9950
•621 8050
•741 1047
•868 1492
1-003 2143
•146 5976
•298 6206
•459 6298
•629 9989
•810 1308
2-000 4600
•201 4548
•413 6204
•637 5019
•873 6876
3122 8129
•385 5647
•662 6857
•954 9802
4263 3195
•588 6485
•931 9935
5-294 4700
•677 2923
6-081 7839
•509 3896
•961 6887
7 440 4103
logflfr, v) A
0-391 2724
•391 2734
•391 2766
•391 2818
•391 2891
•391 2985
•391 3100
•391 3235
■391 3391
•391 3567
■391 3763
•391 3978
■391 4213
•391 4467
•391 4740
•391 5032
•391 5341
•391 5669
•391 6014
•391 6376
•391 6754
•391 7149
■391 7559
•391 7984
•391 8424
•391 8878
■391 9345
•391 9826
•392 0318
•392 0823
•392 1338
•392 1864
•392 2400
•392 2945
•392 3499
•392 4060
•392 4629
■392 5204
■392 5785
•392 6371
■392 6962
•392 7556
•392 8153
•392 8752
•392 9353
•392 9954
10
31
52
73
94
115
135
156
176
196
216
235
254
273
292
310
328
345
362
378
395
410
425
440
454
467
480
493
504
516
526
536
545
554
562
569
575
581
586
590
594
597
599
601
601
r = 43
\F (>■.")
1-579 8310
•582 6106
•590 9546
•604 8785
•624 4083
•649 5803
•680 4416
•717 0501
•759 4750
•807 7965
■862 1068
•922 5103
■989 1236
0062 0767
•141 5130
•227 5903
•320 4814
■420 3748
•527 4755
■642 0063
•764 2086
•894 3438
1032 6937
•179 5637
•335 2826
•500 2054
•674 7149
•859 2234
2054 1759
•260 0519
■477 3687
•706 6845
•948 6018
3203 7711
■472 8957
•756 7363
4-056 1162
•371 9277
•705 1384
5056 7991
•428 0520
•820 1404
6-234 4197
•672 3690
7 135 6055
•025 8999
log H (r,v)
391 4556
391 4566
391 4597
391 4648
391 4720
391 4812
391 4924
391 5056
391 5208
391 5380
391 5571
391 5781
391 6011
391 6259
391 6526
391 6810
391 7113
391 7433
391 7770
391 8123
391 8493
391 8878
391 9279
391 9694
392 0124
392 0567
392 1024
392 1493
392 1974
392 2467
392 2970
392 3484
392 4007
392 4540
392 5081
392 5629
392 6185
392 6747
392 7314
392 7886
392 8463
392 9044
392 9627
393 0212
393 0799
393 1386
10
31
51
72
92
112
132
152
172
191
210
230
248
267
285
303
320
337
353
370
385
401
415
430
443
457
469
481
493
504
514
523
533
541
548
556
562
567
572
577
580
583
585
587
587
if
r = 44
log F (r, v)
1-574 8962
•577 7420
■586 2845
•600 5397
•620 5341
•646 3049
•677 9004
•715 3798
•758 8138
•808 2846
•863 8866
•925 7265
•993 9238
0068 6113
•149 9361
•238 0595
•333 1584
•435 4256
•545 0710
•662 3227
•787 4277
•920 6532
I 062 2883
•212 6450
•372 0600
•540 8966
•719 5463
•908 4315
2-108 0073
•318 7645
■541 2327
■775 982!)
3023 6317
■284 8450
■560 3426
•850 9027
4-157 3682
•480 6520
•821 7444
5-181 7208
•561 7502
■963 1049
6-387 1719
•835 4649
7-309 6389
•811 5060
logH>, k)
391 6305
391 6315
391 6345
391 6395
391 6465
391 6554
391 6664
391 6793
391 6912
391 7109
391 7296
391 7502
391 7726
391 7769
391 8229
391 8508
391 8803
391 9116
391 9445
391 9791
392 0152
392 0528
392 0920
392 1326
392 1746
392 2179
392 2625
392 3084
392 3554
392 4035
392 4528
392 5030
392 5541
392 6062
392 6590
392 7126
392 7669
392 8218
392 8773
392 9332
392 9896
393 0463
393 1033
393 1006
393 2178
393 2752
10
30
50
70
90
109
129
149
168
187
206
224
243
261
278
296
313
329
346
361
377
391
406
420
433
446
459
470
482
492
502
512
520
528
536
543
549
555
559
564
567
670
572
573
574
A 2
20
20
20
20
20
20
20
19
19
19
19
18
18
18
17
17
17
1G
16
15
15
14
14
13
13
12
12
11
11
10
9
9
8
8
7
6
6
5
4
4
Tables of the G (r, v)- Integrals
TABLE LIV— {continued).
141
°
8
y
10
a
12
is
U
15
10
17
18
19
20
m
22
28
u
35
80
31
82
85
36
37
lfi
41
4S
U
r = 45
log F (r, v)
1-570 0711
•572 9830
•581 7241
•596 3106
■616 7696
■643 1393
•675 4689
•713 8192
•758 2623
•808 8824
•865 7761
■929 0524
■998 8337
0-075 2558
•158 4691
•248 6386
•345 9453
•450 5863
•562 7765
•682 7492
•810 7568
•947 0729
1091 9931
•245 8365
■408 9476
•581 6979
•764 4880
•957 7499
2161 9490
•377 5876
•605 2071
•845 3918
3098 7723
•366 0297
•647 9002
•945 1800
4258 7310
•589 4872
•938 4614
5-306 7534
•695 5595
6-106 1805
•540 0352
■998 6720
■483 7836
•997 2234
Iok if (r, i.)
0-391 7975
•391 7984
•391 8014
•391 8063
•391 8131
•391 8219
•391 8326
•391 8452
•391 8598
•391 8762
•391 8944
•391 9145
•391 9365
•391 9602
•391 9857
•392 0129
•392 0418
•392 0724
•392 1046
•392 1383
•392 1737
•392 2105
•392 2488
•392 2885
•392 3295
■392 3719
•392 4155
•392 4603
•392 5063
•392 5534
•392 6015
•392 6506
•392 7006
•392 7515
•392 8032
•392 8556
•392 9087
•392 9624
•393 0166
•393 0713
•393 1264
•393 1818
•393 2376
•393 2935
•393 3496
•393 4057
10
29
49
68
88
107
126
145
164
183
201
219
237
255
272
289
306
322
338
353
368
383
397
411
424
436
448
460
471
481
491
500
509
517
524
531
537
542
547
551
555
557
559
Ml
561
r = 46
\oa,F(r, v)
1-565 3509
•568 3289
•577 2688
•592 1863
•613 1100
•640 0785
•673 1423
•712 3634
•757 8157
•809 5852
•867 7706
•932 4834
0-003 8487
•082 0054
•167 1071
•259 3228
•358 8372
. "465 8522
•580 5873
•703 2808
•834 1911
•973 5979
1-121 8031
•279 1333
•445 9406
•622 6047
•809 5352
2-007 1738
•215 9964
•436 5163
•669 2873
•914 9064
3174 0186
•447 3201
•735 5636
4-039 5631
•360 1998
•698 4283
5-055 2844
•431 8925
■829 4749
6-249 3623
•693 0048
7-161 9854
•658 0347
8-183 0474
Ior II (r,,)
0-391 9572
•391 9581
•391 9610
•391 9658
•391 9725
•391 9811
■391 9915
•392 0039
•392 0181
•392 0342
•392 0520
•392 0717
•392 0932
■392 1164
•392 1413
•392 1679
•392 1962
•392 2261
•392 2576
•392 2906
•392 3252
•392 3612
•392 3987
•392 4375
■392 4776
•392 5191
•392 5618
•392 6056
•392 6506
•392 6967
•392 7437
•392 7918
•392 8407
•392 8905
•392 9410
•392 9923
•393 0442
•393 0967
•393 1498
•393 2033
•393 2572
•393 3115
•393 3660
•393 4207
•393 4755
•393 5304
10
29
48
67
86
105
124
142
161
179
197
215
232
249
266
283
299
315
331
346
360
375
388
402
414
427
438
450
461
471
480
489
498
505
513
519
525
530
535
539
543
545
547
548
549
a?
logP(r, i.)
1-560 7311
•563 7753
•572 9134
•588 1625
•609 5508
•637 1182
■670 9162
•711 0082
•757 4696
■810 3885
•869 8656
■936 0149
0-008 9642
•088 8555
•175 8458
•270 1076
■371 8299
•481 2188
•598 4987
•723 9132
•857 7263
1-000 2236
•151 7141
•312 5311
•483 0345
•663 6124
•854 6834
2-056 6988
•270 1448
•495 5462
•733 4685
•984 5222
3-249 3662
•528 7119
•823 3284
4-134 0476
•461 7700
•807 4710
5-172 2090
•557 1330
•963 4920
6-392 6458
•846 0761
7-325 4006
•832 3876
8-368 9732
log if (r, »)
0-392 1100
•392 1110
•392 1138
•392 1185
•392 1250
•392 1334
•392 1437
•392 1557
•392 1697
■392 1854
•392 2029
•392 2221
•392 2431
•392 2658
•392 2902
■392 3163
•392 3440
•392 3732
•392 4041
•392 4364
•392 4702
•392 5055
•392 5421
•392 5801
•392 6194
•392 6600
•392 7018
•392 7447
•392 7887
■392 8338
•392 8799
•392 9269
■392 9748
•393 0235
•393 0729
•393 1231
•393 1740
•393 2254
•393 2773
•393 3297
■393 3824
•393 4355
•393 4889
•393 5424
•393 5961
•393 6498
A A*
9
28
47
66
84
103
121
139
157
175
193
210
227
244
261
277
293
308
323
338
353
367
380
393
406
418
429
440
451
461
470
479
487
495
502
508
514
519
524
528
531
534
536
537
537
19
19
19
19
18
18
18
18
18
18
17
17
17
17
16
16
16
15
15
14
14
13
13
13
12
12
11
11
10
9
9
8
8
7
6
6
5
5
4
3
3
2
1
142
Tables for Statisticians and Biometricians
TABLE LIV— (continued).
9
10
11
12
13
n
15
16
n
18
19
20
21
27
28
29
SO
SI
Sit
35
37
38
S9
40
41
42
48
44
45
r=48
log F (r, »)
1-556 2075
•559 3178
•568 6545
•584 2348
•606 0878
•634 2541
•668 7863
•709 7492
•757 2198
•811 2881
•872 0569
•939 6427
0-014 1760
•095 8020
•184 6808
•280 9888
•384 9189
•496 6818
•616 5066
•744 6421
•881 3579
1026 9460
•181 7216
•346 0254
•520 2250
•704 7169
•899 9284
2106 3205
•324 3901
■554 6729
■797 7467
3-054 2350
•324 8107
•610 2007
•911 1903
4-228 6293
•563 4374
•916 6109
5289 2309
•682 4708
6-097 6055
•536 0267
•999 2449
7-488 9134
8-006 8381
•554 9966
log // (r, v)
392 2565
392 2574
392 2601
392 2647
392 2711
392 2794
392 2894
392 3012
392 3149
392 3302
392 3474
392 3662
392 3868
392 4090
392 4329
392 4584
392 4855
392 5142
392 5444
392 5760
392 6092
392 6437
392 6796
392 7168
392 7553
392 7950
392 8359
392 8779
392 9210
392 9652
393 0103
393 0563
393 1032
393 1509
393 1993
393 2485
393 2982
393 3486
393 3994
393 4507
393 5024
393 5543
393 6066
393 6590
393 7116
393 7642
A2
9
28
46
64
82
100
118
136
154
171
189
206
222
239
255
271
287
302
317
331
345
359
372
385
397
409
420
431
441
451
460
469
477
485
491
498
503
508
513
517
520
522
524
526
526
r=49
log F (r,v)
1-551 7763
•554 9527
•564 4879
•580 3995
•602 7172
•631 4824
■666 7488
•708 5826
•757 0624
■812 2801
•874 3406
•943 3629
0-019 4803
•102 8409
•193 6083
■291 9625
•398 1005
•512 2374
•634 6070
•765 4636
•905 0822
1-053 7610
•211 8218
•379 6125
•557 5084
•745 9141
•945 2662
2-156 0351
•378 7283
•613 8925
•862 1178
3-124 0408
•400 3485
•691 7826
•999 1454
4-323 3042
•665 1980
5-025 8441
•406 3461
•807 9020
6-231 8144
•679 5011
7-152 5073
•652 5197
8-181 3822
•741 1137
log H (r, v) A A2 i og p (r _ „)
0-392 3969
•392 3978
•392 4005
•392 4050
•392 4113
•392 4193
•392 4291
•392 4407
•392 4541
•392 4692
•392 4859
•392 5044
•392 5245
•392 5463
•392 5697
•392 5947
•392 6213
•392 6493
•392 6789
•392 7099
■392 7424
■392 7762
•392 8114
■392 8478
•392 8855
•392 9244
•392 9645
•393 0057
•393 0479
•393 0911
•393 1353
•393 1804
■393 2263
•393 2731
•393 3205
•393 3686
•393 4174
•393 4667
•393 5165
•393 5667
•393 6174
•393 6683
•393 7195
•393 7708
•393 8223
•393 8739
9
27
45
63
81
98
116
133
151
168
185
201
218
234
250
266
281
296
310
324
338
352
365
377
389
401
412
422
432
442
451
459
467
474
481
488
493
498
502
506
509
512
514
515
516
= 50
1-547 4336
•550 6762
•560 4099
•576 6529
•599 4352
•628 7993
•664 7999
•707 5046
•756 9936
•813 3607
•876 7129
•947 1718
0-024 8733
•109 9685
•202 6245
•303 0249
•411 3709
•527 8818
•652 7964
•786 3739
•928 8954
1-080 6649
•242 0110
•413 2886
•594 8807
•787 2004
•990 6930
2-205 8389
•433 1556
•673 2014
•926 5783
3193 9359
•475 9753
•773 4538
4087 1898
•418 0685
•767 0481
5'135 1668
•523 5508
•933 4228
6-366 1119
•823 0651
7305 8593
•816 2157
8-356 0160
•927 3206
•H(r,v)
0392 5316
•392 5325
•392 5352
•392 5396
•932 5457
•392 5536
•392 5633
•392 5746
•392 5877
■392 6025
■392 6189
•392 6370
•392 6568
•392 6781
•392 7010
•392 7255
•392 7516
•392 7791
•392 8080
•392 8384
•392 8702
•392 9034
•392 9378
■392 9736
•393 0105
•393 0486
•393 0879
•393 1282
•393 1696
•393 2120
•393 2553
•933 2995
•393 3445
•393 3903
•393 4368
•393 4840
•393 5318
•393 5801
•393 6289
•393 6781
•393 7277
•393 7776
•393 8278
•393 8781
•393 9286
•393 9791
9
26
44
62
79
96
114
131
148
164
181
197
213
229
245
260
275
290
304
318
331
345
357
369
381
393
404
414
424
433
442
450
458
465
472
478
483
488
492
496
499
502
504
505
505
A2
18
18
18
17
17
17
17
17
17
17
16
16
16
16
15
15
15
14
14
14
14
13
12
12
11
11
10
10
9
9
Miscellaneous Constants in Frequent Use 143
TABLE LV.
Miscellaneous Constants.
n 3-141 5926 54
log 7T -497 1499
log 2tt -798 1799
log i- 1-201 8201
log 4= 1'600 9100
e 2-718 2818 28
- -367 8794 41
e
log e -434 2944 82
loge 1 * -036 1912 07
log log e -637 7799 16
1 centimetre = -393 70432 ins.
1 inch = 2-539 9772 cm.
1 square cm. = -155 00309 sq. ins.
1 square inch— 6451 4842 sq. cms.
1 cubic cm. = -061 025386 cub. ins.
1 cubic inch =16-386 623 cub. cm.
1 kilogram = 2-204 6212 lbs. avoir.
1 lb. avoir. = -453 59265 kg.
1 radian =57295 7795 degrees.
1 degree = -017 4532 925 radians.
cambrukie: pkintkd by .tohn clay. m.a. at the university press.
Eugenics laboratory publications
Published by Dulau & Co., Ltd., 37 Soho Square, London, W.
MEMOIR SERIES.
502690
I. The Inheritance of Ability. Being a Statistical Examina-
tion of the Oxford Class Lists from the year 1800 onwards,
and of the School Lists of Harrow and Charterhouse. By
Edgar Schuster, M.A., formerly Galton Research Fellow in
National Eugenics, and E. M. Elderton, Galton Research
Scholar in National Eugenics. Issued. Price is. net.
II. A First Study of the Statistics of Insanity and the
Inheritance of the Insane D"""—-^ - By David Heron, D.Sc,
Galton Research Fellow
III. The Promise of Youtl
hood. Being a statist
existing between Succes
Degree at Oxford and si
(The professions considt
Edgar Sohuster, M.A.
Fellow in National Eug<
IV. On the Measure of th
By Ethel M. Elderto>
by Karl Pearson, F.R.S
V. A First Study of the
the Relative Influence
Sight. By Amy Barr
Issued. Price is. net.
VI. Treasury of Human I
psychical, and pathologi
II (double part). (Diabe
ism, Brachydaetylism, T
Ability.) Issued by the Galton Laboratory. Price 14*. net.
VII. The Influence of "Parental Occupation and Home
Conditions on the Physique of the Offspring. By Ethel M.
Elderton, Galton Research Scholar. Shortly.
VIII. The Influence of Unfavourable Home Environment
and Defective Physique on the Intelligence of School Chil-
dren. By David Heron, D.Sc, Galton Research Fellow.
Issued. Price is. net.
IX. The Treasury of Human Inheritance (Pedigrees of phy-
sical, psychical, and pathological Characters in Man). Part
III. (Angioneurotic Oedema, Hermaphroditism, Deaf-mutism,
Insanity, Commercial Ability.) Issued. Price 6s. net.
UNIVERSITY OF CALIFORNIA LIBRARY
X. A First Study of the Influence of Parental Alcoholism
on the Physique and Intelligence of the Offspring. By
Ethel M. Elderton, Galton Research Scholar, assisted by
Karl Pearson, F.R.S. Issued. Secmul Edition. Price is.net.
XI. The Treasury of Human Inheritance (Pedigrees of phy-
sical, psychical, and pathological Characters in Man). Part
IV. (Cleft Palate, Hare-Lip, Deaf-mutism, and Congenital
Cataract.) Issued. Price 10*. net.
vn ~ r ^ r ~ of Human Inheritance (Pedigrees of phy-
^S • an d pathological Characters in Man). Parts
i*^ aemophilia.) Issued. Price 15s. net.
udy of the Influence of Parental
,he Physique and Intelligence of the Offspring.
tain Medical Critics and an Examination of
'.videnee cited by them. By Karl Pearson,
HEL M. Elderton. Issued. Price 4s. net.
Jtudy of Extreme Alcoholism in Adults.
gton and Karl Pearson, F.R.S., assisted by
y , j ).Sc. Issued. Price 4s. net.
of Human Inheritance (Pedigrees of phy-
1, and pathological Characters in Man).
Til. (Dwarfism.) With 49 Plates of Illus-
'lates of Pedigrees. Issued. Price 15s. net.
if Human Inheritance. Prefatory Matter
'ame and Subject Indices to Vol. I. With
rtraits of Sir Francis Galton and Ancestry,
ts. net.
y of Extreme Alcoholism in Adults,
erence to the Home-Office Inebriate Reform-
atory data. By David Heron, D.Sc. Issued. Price 5s. net.
XVIH. On the Correlation of Fertility with Social Value.
A Co-operative Study. By Ethel M. Elderton, Amy Bar-
rtngton, H. Gertrude Jones, Edith M. M. de G. Lamotte,
H. Laski, and K. Pearson. Issued. Price 6s. net.
Buckram covers for binding Volume 1 of the Treasury of Human
Inheritance with impress of the bust of Sir Francis Galton by Sir
Georoe Frampton can be obtained from the Eugenics Laboratory by
sending a postal order for 2s. 9