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An Extended Table of Chi-Square for Two Degrees of Freedom, for use in Combining Probabilities from Independent Samples

Published online by Cambridge University Press:  01 January 2025

Mordecai H. Gordon
Affiliation:
VA Hospital, Chillicothe, Ohio Georgia Institute of Technology University of Tennessee
Edward H. Loveland
Affiliation:
VA Hospital, Chillicothe, Ohio Georgia Institute of Technology University of Tennessee
Edward E. Cureton
Affiliation:
VA Hospital, Chillicothe, Ohio Georgia Institute of Technology University of Tennessee

Abstract

A table of values of Chi-square for two degrees of freedom corresponding to values of P from .001 to .999 is presented, together with a description and an example of its use in combining probabilities from two or more independent samples to obtain an aggregate probability.

Type
Original Paper
Copyright
Copyright © 1952 The Psychometric Society

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References

Bancroft, T. A. Probability values for the common tests of hypotheses. J. Amer. statist. Assoc., 1950, 45, 211217.Google Scholar
Fisher, R. A. Statistical methods for research workers Tenth Ed., (pp. 99101). London: Oliver and Boyd, 1946.Google Scholar
Hodgman, C. D. Mathematical tables Ninth Ed., (pp. 168169). Cleveland: Chemical Rubber Pub. Co., 1948.Google Scholar
Lancaster, H. O. The combination of probabilities arising from data in discrete distributions. Biometrika, 1949, 36, 370382.CrossRefGoogle ScholarPubMed
McNemar, Quinn and Terman, L. M. Sex differences in variational tendency. Genet. Psychol. Monog., 1936, 18(1), 3131.Google Scholar
Wallis, W. A. Compounding probabilities from independent significance tests. Econometrika, 1942, 10, 229248.CrossRefGoogle Scholar