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	Kors­tab­e­ll­a­n­a­l­y­s	Fishers exakta test
Ämnesområde	Statistik	Statistik
Familj	Hypothesis test	Hypothesis test
Ursprungsår	1900	1922
Upphovsperson	Karl Pearson	R. A. Fisher
Typ	Descriptive and inferential categorical analysis	Exact test of independence for categorical data
Ursprungskälla	Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175.	Fisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94.
Alias	crosstab, contingency table analysis, two-way frequency table, bivariate frequency analysis	Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi
Närliggande	5	2
Sammanfattning	Cross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables.	Fisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution.