The Choice Between Pearson's <i>χ</i><sup>2</sup> Test and Fisher's Exact Test for 2 × 2 Tables

Pearson's asymptotic χ<sup>2</sup> test is often used to compare binary data between two groups. However, when the sample sizes or expected frequencies are small, the test is usually replaced by Fisher's exact test. Several alternative rules of thumb exist for defining "small" in this context. Replacing one test with another based on the obtained data is unusual in statistical practice. Moreover, this commonly-used switch is unnecessary because Pearson's χ<sup>2</sup> test can easily be carried out as an exact test for any sample sizes. Therefore, we recommend routinely using an exact test regardless of the obtained data. This change of approach allows prespecifying a particular test and a much less ambiguous and more reliable analysis.

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Publication Details

Journal
Pharmaceutical Statistics
Published
2025-03-29
DOI
https://doi.org/10.1002/pst.70012
Citations
5
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
16.23
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article

The Choice Between Pearson's χ2 Test and Fisher's Exact Test for 2 × 2 Tables

Graeme D. Ruxton, Markus Neuhäuser
5 citations
Pharmaceutical Statistics
Software Engineering Research
16.23
article

The Choice Between Pearson's χ2 Test and Fisher's Exact Test for 2 × 2 Tables

Graeme D. Ruxton, Markus Neuhäuser
article en
5 citations

Abstract

Pearson's asymptotic χ<sup>2</sup> test is often used to compare binary data between two groups. However, when the sample sizes or expected frequencies are small, the test is usually replaced by Fisher's exact test. Several alternative rules of thumb exist for defining "small" in this context. Replacing one test with another based on the obtained data is unusual in statistical practice. Moreover, this commonly-used switch is unnecessary because Pearson's χ<sup>2</sup> test can easily be carried out as an exact test for any sample sizes. Therefore, we recommend routinely using an exact test regardless of the obtained data. This change of approach allows prespecifying a particular test and a much less ambiguous and more reliable analysis.

Pharmaceutical StatisticsVol. 24(3)
Koblenz University of Applied Sciences (DE), University of St Andrews (GB)
Openalex Percentile: Top 1%
Software Engineering Research
16.23
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