Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Onafhankelijke t-toets voor twee steekproeven× | Mann-Whitney U-toets× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Hypothesis test | Hypothesis test |
| Jaar van ontstaan≠ | 1908 | 1947 |
| Grondlegger≠ | Student (W. S. Gosset) | H. B. Mann & D. R. Whitney |
| Type≠ | Parametric mean comparison | Nonparametric two-group comparison |
| Oorspronkelijke bron≠ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ | Mann, H. B. & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. DOI ↗ |
| Aliassen≠ | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi |
| Verwant | 4 | 4 |
| Samenvatting≠ | The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances. | The Mann-Whitney U test is the nonparametric alternative to the independent samples t-test, comparing two independent groups by ranking all observations together rather than relying on their means. It was introduced by H. B. Mann and D. R. Whitney in 1947 and does not require the data to be normally distributed. |
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