Not everyone’s cup of tea?

Abstract Fisher’s exact test versus chi-square: what do statisticians use more frequently? Wilson Fandino considers fixed margins, large samples and the enduring case of the “lady tasting tea” experiment

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Publication Details

Journal
Significance
Published
2026-04-16
DOI
https://doi.org/10.1093/jrssig/qmag029
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
0.00
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article

Not everyone’s cup of tea?

Wilson Fandino
Significance
Data Analysis with R
article

Not everyone’s cup of tea?

Wilson Fandino
article en

Abstract

Abstract Fisher’s exact test versus chi-square: what do statisticians use more frequently? Wilson Fandino considers fixed margins, large samples and the enduring case of the “lady tasting tea” experiment

SignificanceVol. 23(3)
Hess (United States) (US)
Openalex Percentile: Top 5%
Data Analysis with R
DOISourceOpenAlex
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Not everyone’s cup of tea? — Wilson Fandino · Significance (2026) | TGRS Research Map | TGRS