Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Welch'n t-test (erisuuret varianssit)× | Riippumattomien otosten t-testi× | |
|---|---|---|
| Tieteenala | Tilastotiede | Tilastotiede |
| Menetelmäperhe | Hypothesis test | Hypothesis test |
| Syntyvuosi≠ | 1947 | 1908 |
| Kehittäjä≠ | B. L. Welch | Student (W. S. Gosset) |
| Tyyppi≠ | Parametric mean comparison (unequal variances) | Parametric mean comparison |
| Alkuperäislähde≠ | Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Rinnakkaisnimet≠ | unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans) | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Liittyvät | 4 | 4 |
| Tiivistelmä≠ | 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. | 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. |
| ScholarGateAineisto ↗ |
|
|