Comparer des méthodes

	Test H de Kruskal-Wallis	Test de Friedman
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1952	1937
Auteur d'origine	William Kruskal & W. Allen Wallis	Milton Friedman
Type	Nonparametric group comparison	Nonparametric repeated-measures comparison (by ranks)
Source fondatrice	Kruskal, W. H. & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621.	Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701.
Alias	Kruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi	Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi
Apparentées	5	2
Résumé	The Kruskal-Wallis H test is a nonparametric hypothesis test that compares three or more independent groups to decide whether their distributions (typically their medians) differ. Introduced by William Kruskal and W. Allen Wallis in 1952, it works on ranks rather than raw values and is the distribution-free counterpart to one-way ANOVA.	The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality.