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The Power of Chi Square Tests for Contingency Tables

Rosa C. Meng, Douglas G. Chapman

Journal of the American Statistical Association · 1966 · Volume 61 · Issue 316

DOI: 10.1080/01621459.1966.10482187

Abstract

The general theory of the asymptotic power of chi square tests requires the evaluation of a non-centrality parameter which is expressed as a vector-matrix vector product. This parameter is evaluated for two of the models associated with r × c contingency tables. This permits the power of such tests to be approximated on a large sample basis. Further considered are some implications of these results for sample design problems.

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