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Teste exato de Fisher×Teste de McNemar×
ÁreaEstatísticaEstatística
FamíliaHypothesis testHypothesis test
Ano de origem19221947
Autor originalR. A. FisherQuinn McNemar
TipoExact test of independence for categorical dataNonparametric test for paired binary data
Fonte seminalFisher, 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 ↗McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗
Outros nomesFisher-Irwin test, exact test of independence, Fisher'ın Kesin TestiMcNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
Relacionados25
ResumoFisher'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.McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes.
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ScholarGateComparar métodos: Fisher's exact test · McNemar's test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare