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Análise de Tabelas Cruzadas×Teste exato de Fisher×
ÁreaEstatísticaEstatística
FamíliaHypothesis testHypothesis test
Ano de origem19001922
Autor originalKarl PearsonR. A. Fisher
TipoDescriptive and inferential categorical analysisExact test of independence for categorical data
Fonte seminalPearson, 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. DOI ↗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. DOI ↗
Outros nomescrosstab, contingency table analysis, two-way frequency table, bivariate frequency analysisFisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi
Relacionados52
ResumoCross-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.
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ScholarGateComparar métodos: Cross-tabulation analysis · Fisher's exact test. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare