Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Welchův t-test (nerovné rozptyly)× | Jednofaktorová analýza rozptylu× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1947 | 1925 |
| Tvůrce≠ | B. L. Welch | Ronald A. Fisher |
| Typ≠ | Parametric mean comparison (unequal variances) | Parametric mean comparison |
| Původní zdroj≠ | Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Další názvy≠ | unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans) | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Příbuzné | 4 | 4 |
| Shrnutí≠ | 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. | 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. |
| ScholarGateDatová sada ↗ |
|
|