Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Bartlettův test homogenity rozptylů× | Jednofaktorová analýza rozptylu× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1937 | 1925 |
| Tvůrce≠ | Maurice Stevenson Bartlett | Ronald A. Fisher |
| Typ≠ | Parametric variance homogeneity test | Parametric mean comparison |
| Původní zdroj≠ | Bartlett, M. S. (1937). Properties of sufficiency and statistical tests. Proceedings of the Royal Society of London. Series A, 160(901), 268–282. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Další názvy | Bartlett's Chi-Square Test, Test for Equality of Variances, Bartlett's Homogeneity Test, Varyans Homojenliği Testi | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Příbuzné≠ | 2 | 4 |
| Shrnutí≠ | Bartlett's Test is a classical parametric procedure for testing whether two or more independent groups share a common population variance. Introduced by Maurice Stevenson Bartlett in 1937, it formalises the null hypothesis that all group variances are equal by constructing a chi-square statistic from the ratio of pooled to individual group variances. It is a standard pre-analysis step before applying ANOVA or other procedures whose validity depends on the homoscedasticity assumption. | 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. |
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