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Large values for the number of groups with the Pearson chi-squared goodness-of-fit tes

MLCOLM J. SLAKTER

Open publisher page 7 citations

Abstract

Dahiya (1971) offered evidence against using a large number of equally likely groups with the Pearson chi-squared goodness-of-fit test, and indicated that when the number of groups exceeds the sample size the assumed level of the test is inflated. This paper provides data which question the former statement and disprove the latter.

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What this paper is about

Dahiya (1971) offered evidence against using a large number of equally likely groups with the Pearson chi-squared goodness-of-fit test, and indicated that when the number of groups exceeds the sample size the assumed level of the test is inflated. This paper provides data which question the former statement and disprove the latter.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Dahiya (1971) offered evidence against using a large number of equally likely groups with the Pearson chi-squared goodness-of-fit test, and indicated that when the number of groups exceeds the sample size the assumed level of the test is inflated. This paper provides data which question the former statement and disprove the latter.

Key concepts: Mathematics, Goodness of fit, Statistics, Pearson's chi-squared test, Chi-square test, Sample size determination, Pearson product-moment correlation coefficient, Statistical hypothesis testing

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