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Fishers exakta test×McNemars test×
ÄmnesområdeStatistikStatistik
FamiljHypothesis testHypothesis test
Ursprungsår19221947
UpphovspersonR. A. FisherQuinn McNemar
TypExact test of independence for categorical dataNonparametric test for paired binary data
UrsprungskällaFisher, 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 ↗
AliasFisher-Irwin test, exact test of independence, Fisher'ın Kesin TestiMcNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
Närliggande25
SammanfattningFisher'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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ScholarGateJämför metoder: Fisher's exact test · McNemar's test. Hämtad 2026-06-18 från https://scholargate.app/sv/compare