Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Onafhankelijke t-toets voor twee steekproeven× | Welch's t-toets (ongelijke varianties)× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Hypothesis test | Hypothesis test |
| Jaar van ontstaan≠ | 1908 | 1947 |
| Grondlegger≠ | Student (W. S. Gosset) | B. L. Welch |
| Type≠ | Parametric mean comparison | Parametric mean comparison (unequal variances) |
| Oorspronkelijke bron≠ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. 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≠ | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi | unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans) |
| 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. | 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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