Fisher’s exact test is a statistical test for comparing two groups of data. It is named after the statistician Ronald Fisher, who first proposed it in 1936. The test is used to compare the relative frequencies of different categories in two groups of data.
The Fisher’s exact test is carried out by first estimating the relative frequencies of each category in one group and then comparing these estimates to the relative frequencies of each category in the other group.
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