« Test exact de Fisher » : différence entre les versions
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Version du 15 décembre 2020 à 18:09
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Fisher's Exact Test Fisher’s exact test, also called Fisher’s exact test of independence, is a test of statistical significance used in the analysis of contingency tables, also known as a cross tabulation. It is used when you have two nominal variables, which are a type of categorical variable that assumes no order or rank for the categories. The Fisher’s exact test is used to investigate if proportions for one nominal variable are different among values of the other nominal variable. It is used in practice for experiments with a small number of participants.
Contributeurs: Imane Meziani, wiki
