UC-NRLF $c it, its TABLES FOR STATISTICIANS AND BIOMETRICIANS EDITED BY KARL PEARSON, F.R.S. GALTON PROFESSOR, UNIVERSITY OF LONDON ISSUED WITH ASSISTANCE FROM THE GRANT MADE BY THE WORSHIPFUL COMPANY OF DRAPERS TO THE BIOMETRIC LABORATORY UNIVERSITY COLLEGE LONDON CAMBRIDGE UNIVERSITY PRESS C. F. CLAY, Manager ILoufiort: FETTER LANE, E.C. EBmburgfj: 100 PRINCES STREET ALSO ImSon: H. K. LEWIS, I3 6 GOWER STREET, W.C. lonton: WILLIAM WESLEY AND SON, 28 ESSEX STREET, STRAND Chicago: UNIVERSITY OF CHICAGO PR1 Berlin: A. ASHER AND CO. lewifl: BROCKHAUS Bnmbag anli Cilcutti : MACMILLAN AND CO., Ltd. Toronto: J. M. DENT AND SONS, Ltd. Eokno: THE MARUZEN-KABUSHIKI-KAISHA Price Fifteen Shillings Net. AT THE CAMBRIDGE UNIVERSITY PRESS Just ready : THE LIFE, LETTERS, AND LABOURS OF FRANCIS GALTON. Vol. I (1822—1854). By Karl Pearson. This volume contains more than sixty plates of illustration and five pedigree plates of Galton and Darwin ancestry. It deals with the life of Sir Francis Galton from birth to marriage. BIOMETRIKA. A Journal for the Statistical Study of Biological Problems. Founded by W. F. R. Weldon, Karl Pearson and Francis Galton. Biometrika appears about four times .a year. A volume containing about 500 pages, with plates and tables, is issued annually. The subscription price, payable in advance, is 30s. net ($7.50) per volume (post free) ; single parts 10s. net ($2.50) each. The current volume is Volume X. Volumes I — IX (1902 — 1913) complete, 30s. net per volume; bound in buckram, 34s. %d. net per volume. Till further notice new subscribers to Biometrika may obtain Vols. I — IX together for .£10 net, or in buckram for ,£12 net. II. III. IV. II. III. IV. Biom DUL DRAP Mathematical Theory of Evolut of Contingency J tion and Norn Pearson, F.R.L Mathematical Theory of Kvohi of Skew Cfcrrela sion. By Kari Price 5s. net. Mathematical Theory of Evoli matical Theory Kaul Pearson" of John Blake 6ft net. Mathematical Theory of Evol Methods Karl Pearson, Mathematical Theory of Evoli rations Education /2/i^f^icnf~ r ON, W. SMOIRS nimal Kingdom. By Ernest :., Alice Lee, D.Sc, Edna arion Radford, and Karl S. ' [Shorth). dan. By Karl Pearson, >, and C. H. Usher. Text, Part I. Issued. Price I Contributions to the ution.— XVIII. On a Novel garding the Association of lassod solely in Alternative Sy Kaul Pearson, F.R.S. 4s. net. dan. By Karl Pearson, , and C. H. Usher. Text, Part II. Issued. Price . Bv Karl Pearson. .1 O. H. Usher. Text, Part IV. Issued. Price UtUU/^o ''IV A»^V On the Relation of Fertility in Man icial Status, and on the changes in this Relation that have taken place in the last 50 years. By David Heron, M.A., D.Sc. Issued. Sold only with complete sets. A First Study of the Statistics of Pulmonary Tub Karl Pearson. F.R.S. Issued. Price3*.nef. A Second Study of th9 Statistics of Pulmonary Tuberculosis. .Marital Infec- tion. By Ernest G. Popb j Kaul Pearson, F.R.S. 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Williams, MB., Jolu MA., and Karl Pearson, F.R.S. Issusd. Pri ftp?*- rJ* ^^L(fo"+**&U-* l TABLES FOR STATISTICIANS AND BIOMETRICIANS CAMBRIDGE UNIVERSITY PRESS C. F. CLAY, Manager iionlron: FETTER LANE, E.C. «P0in6iirgJ : 100 PRINCES STREET lioit&on : H. K. Lewis, Gower Street, W.C. and William Wesley and Son, 28 Essex Street, W.C. Berlin: A. ASHER AND CO. lril>?ig: F. A. BROCKHAUS JSom&ari antr Calcutta: MACMILLAN AND CO., Lti>. Cotonto: J. M. DENT AND SONS, Ltd. STofejo: THE MARTJZEN-KABUSHIKI-KAISHA All rights reserved TABLES FOR STATISTICIANS AND BIOMETRICIANS EDITED BY KARL PEARSON, F.R.S. GALTON PROFESSOR, UNIVERSITY OF LONDON ISSUED WITH ASSISTANCE FROM THE GRANT MADE BY THE WORSHIPFUL COMPANY OF DRAPERS TO THE BIOMETRIC LABORATORY UNIVERSITY COLLEGE LONDON Cambridge : at the University Press 1914 HA4J v^-'- x ' (KambviBgt : PRINTED BY JOHN CLAY, M.A. AT THE UNIVERSITY PRESS. £di" §t±a.r4vy\tn'T 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 [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 j / ' /y i / fill / 1 1 1 / / >' > // 1 ' ("j / / /' 1 /// / / 1 'I / ! / ^ //' i / / 1 / , /// 1 / 1 /// ' ' / ' / / / / I O" - "0 // f/J -- i /// // / 1 / 111 j /■'/ l / li //a ! / ' / / /// 0"" '"o 21 •// // / , // v// ' // 1 / 1 / / / % // // t /// W- i '-I-/- // ' / / = &• 8 1 — «*■ 8* O O . CO -Si ~t CO p r- O ■ O CO to CM O IBi::::;:: 7 7V7 1 / 1 It m III / / I ...... L /- % t y f] 7Y7 I ! / / -/- — -/■ — ■ — / / -i + / J ' I ' /,■ / O / / 1 1 1 / / 1 / 1 1 - -- —tTJ- L. i ■ I' I / ' / / 1 1 / / / / 1 / „-jm J H, i / / 1 / 1 / / / / / / Jul 1 U. / / •• / / ft / 1 / / 1 1 — - mt ' / / ij 1 / 1 / 1 1 M/ 1 / >h / 7 I 1 / / I M5 / . / r / t I / / 1 Awl / , " / TX / / 1 i f-hrf-.-A - 3 ■ - i—t- - — j— —f- / --------mitt / / / i=f. — — 1 — — t— l — A o o o CO \iizzjW/rf4 -A - 4- — y- —f- ; / 1 -i — L I tn.uiT.i_tL / tt i i / / / / .. / ■ . . ti- i . • i / / / / / t f 4-t 1 4-7-1- -I < it/ i ' i i / / / I - Jitilftf LL i ' i / / i .- titihyz u ■ i / / i / / / --uY/j/fU-ZJu 1 / / / -1lLU4 Lj t l / / i / / / Itluitujlu. 'j ' / i / / / / / M4m A - J / / .-■ / Jil ' ' ' -J.J. J. . / / ; , _, t / 7 ' /..,■/.. / ~z ! j t / / ^ Z It^ilTtL / 1 ' / / ./-UtlttttZ, ' / i / / /J// 2222111 1 ./ i 1 / / 1 J f j !~ ~tl i 1 / / ' / / fflfe' '---? llVltTVtli 1 / f / 11M:#< ^ /- LLLLLLj i iff J. 1 / / / I ( ! (1 iUulttlJ-4 1 L J ' / Wul-Ui 'III; Hill / I 1 / o CN r-'cyoi m s. co *o xf co, wffrrff/ to ^f «^ io . <0- to/ « r>- c« ^ « «> to *3C eo cn « / cO "o *" i— / *> / ? M 8 / 1 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 M 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. 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