Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Однофакторный дисперсионный анализ× | Независимый t-критерий для двух выборок× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1925 | 1908 |
| Автор метода≠ | Ronald A. Fisher | Student (W. S. Gosset) |
| Тип | Parametric mean comparison | Parametric mean comparison |
| Основополагающий источник≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Другие названия | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Связанные | 4 | 4 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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