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Analiza wariancji Welcha×Test t Welcha (nierówne wariancje)×
DziedzinaStatystykaStatystyka
RodzinaHypothesis testHypothesis test
Rok powstania19511947
TwórcaB. L. WelchB. L. Welch
TypParametric mean comparison (heteroscedastic)Parametric mean comparison (unequal variances)
Źródło pierwotneWelch, B.L. (1951). On the Comparison of Several Mean Values. Biometrika, 38(3/4), 330–336. link ↗Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗
Inne nazwyWelch's F-test, heteroscedastic one-way ANOVA, Welch ANOVA — Heterojen Varyans ANOVAunequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)
Pokrewne34
PodsumowanieWelch ANOVA is a parametric hypothesis test that compares the means of three or more independent groups when their variances are not equal. Introduced by B. L. Welch in 1951, it replaces classic one-way ANOVA whenever the homogeneity-of-variance assumption fails, while still requiring approximately normal data.Welch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread.
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ScholarGatePorównaj metody: Welch ANOVA · Welch t-test. Pobrano 2026-06-19 z https://scholargate.app/pl/compare