BinaryContingencyTableOperationsFisherExactTest Method |
Namespace: Meta.Numerics.Statistics
The Fisher exact test tests for correlations between row and column entries. It is a robust, non-parametric test, which, unlike the χ2 test (see PearsonChiSquaredTest), can safely be used for tables with small, even zero-valued, entries.
The Fisher test computes, under the null hypothesis of no correlation, the exact probability of all 2 X 2 tables with the same row and column totals as the given table. It then sums the probabilities of all tables that are as or less probable than the given table. In this way it determines the total probability of obtaining a 2 X 2 table which is at least as improbable as the given one.
The test is two-sided, i.e. when considering less probable tables it does not distinguish between tables exhibiting the same and the opposite correlation as the given one.