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| Jednosmjerna analiza varijance× | H-test Kruskal-Wallis× | |
|---|---|---|
| Područje | Statistika | Statistika |
| Obitelj | Hypothesis test | Hypothesis test |
| Godina nastanka≠ | 1925 | 1952 |
| Tvorac≠ | Ronald A. Fisher | William Kruskal & W. Allen Wallis |
| Vrsta≠ | Parametric mean comparison | Nonparametric group comparison |
| Temeljni izvor≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ | 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 ↗ |
| Drugi nazivi | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA | Kruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi |
| Srodne≠ | 4 | 5 |
| Sažetak≠ | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. | 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. |
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