Compara mètodes

	Anàlisi de la variància de Welch	Prova t de Welch (variances desiguals)
Camp	Estadística	Estadística
Família	Hypothesis test	Hypothesis test
Any d'origen	1951	1947
Autor original	B. L. Welch	B. L. Welch
Tipus	Parametric mean comparison (heteroscedastic)	Parametric mean comparison (unequal variances)
Font seminal	Welch, B.L. (1951). On the Comparison of Several Mean Values. Biometrika, 38(3/4), 330–336.	Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35.
Àlies	Welch's F-test, heteroscedastic one-way ANOVA, Welch ANOVA — Heterojen Varyans ANOVA	unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)
Relacionats	3	4
Resum	Welch 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.