Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Shapiro-Wilk normaliteitstest× | One-way Analysis of Variance× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Hypothesis test | Hypothesis test |
| Jaar van ontstaan≠ | 1965 | 1925 |
| Grondlegger≠ | S. S. Shapiro & M. B. Wilk | Ronald A. Fisher |
| Type≠ | Normality (goodness-of-fit) test | Parametric mean comparison |
| Oorspronkelijke bron≠ | Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Aliassen≠ | Shapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testi | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Verwant≠ | 2 | 4 |
| Samenvatting≠ | The Shapiro-Wilk test is a hypothesis test that checks whether a continuous variable was drawn from a normal distribution. It was introduced by Samuel Shapiro and Martin Wilk in 1965 and is regarded as one of the most powerful normality tests, recommended for sample sizes below 5000. | 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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