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Description

Fisher's Exact Test is used to determine whether or not there is a significant association between two categorical variables. It is typically used as an alternative to the Chi-Squared Test (2x2 table) when cell counts are small.

Interpretation

When the (two-sided) P-value (the probability of obtaining the observed result or a more extreme result) is less than the conventional 0.05, the conclusion is that there is a significant relationship between the two classification factors Group and Category.

Literature

• Altman DG (1991) Practical statistics for medical research. London: Chapman and Hall.

How to cite this page

• MedCalc Software Ltd. Fisher exact probability. https://www.medcalc.org/en/calc/fisher.php (Version 23.3.7; accessed October 31, 2025)

See also

• MedCalc manual: Fisher's exact test