Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Kruskal-Wallis H-toets× | Welch's t-toets (ongelijke varianties)× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Hypothesis test | Hypothesis test |
| Jaar van ontstaan≠ | 1952 | 1947 |
| Grondlegger≠ | William Kruskal & W. Allen Wallis | B. L. Welch |
| Type≠ | Nonparametric group comparison | Parametric mean comparison (unequal variances) |
| Oorspronkelijke bron≠ | 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. DOI ↗ | Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗ |
| Aliassen≠ | Kruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi | unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans) |
| Verwant≠ | 5 | 4 |
| Samenvatting≠ | 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. | 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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