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| Dwuczynnikowa analiza wariancji (Two-Way ANOVA)× | Jednoczynnikowa analiza wariancji× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania | 1925 | 1925 |
| Twórca | Ronald A. Fisher | Ronald A. Fisher |
| Typ≠ | Parametric factorial mean comparison | Parametric mean comparison |
| Źródło pierwotne≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Inne nazwy≠ | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Pokrewne≠ | 6 | 4 |
| Podsumowanie≠ | Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors. | 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. |
| ScholarGateZbiór danych ↗ |
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