The Annals of Mathematical Statistics

The $\chi^2$ Test of Goodness of Fit

William G. Cochran

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Abstract

This paper contains an expository discussion of the chi square test of goodness of fit, intended for the student and user of statistical theory rather than for the expert. Part I describes the historical development of the distribution theory on which the test rests. Research bearing on the practical application of the test--in particular on the minimum expected number per class and the construction of classes--is discussed in Part II. Some varied opinions about the extent to which the test actually is useful to the scientist are presented in Part III. Part IV outlines a number of tests that have been proposed as substitutes for the chi square test (the $\omega^2$ test, the smooth test, the likelihood ratio test) and Part V a number of supplementary tests (the run test, tests based on low moments, subdivision of chi square into components).

Article information

Source
Ann. Math. Statist. Volume 23, Number 3 (1952), 315-345.

Dates
First available in Project Euclid: 28 April 2007

Permanent link to this document
http://projecteuclid.org/euclid.aoms/1177729380

Digital Object Identifier
doi:10.1214/aoms/1177729380

Mathematical Reviews number (MathSciNet)
MR49531

Zentralblatt MATH identifier
0047.13105

JSTOR
links.jstor.org

Citation

Cochran, William G. The $\chi^2$ Test of Goodness of Fit. Ann. Math. Statist. 23 (1952), no. 3, 315--345. doi:10.1214/aoms/1177729380. http://projecteuclid.org/euclid.aoms/1177729380.


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