Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| t-критерий Уэлча (неравные дисперсии)× | t-критерий для зависимых выборок× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1947 | 1908 |
| Автор метода≠ | B. L. Welch | Student (W. S. Gosset) |
| Тип≠ | Parametric mean comparison (unequal variances) | Parametric mean comparison (paired) |
| Основополагающий источник≠ | Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185 |
| Другие названия≠ | unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans) | dependent samples t-test, repeated measures t-test, matched-pairs t-test, eşleştirilmiş örneklem t-testi |
| Связанные | 4 | 4 |
| Сводка≠ | 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 paired samples t-test is a parametric hypothesis test that compares two measurements taken on the same subjects — such as a before and after reading — to decide whether the average change differs from zero. It rests on the t-distribution introduced by Student (W. S. Gosset) in 1908 and works on the within-subject difference scores rather than the raw measurements. |
| ScholarGateНабор данных ↗ |
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