Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Exacte toets van Fisher× | Cochran's Q-toets× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Hypothesis test | Hypothesis test |
| Jaar van ontstaan≠ | 1922 | 1950 |
| Grondlegger≠ | R. A. Fisher | William G. Cochran |
| Type≠ | Exact test of independence for categorical data | Nonparametric proportions comparison |
| Oorspronkelijke bron≠ | Fisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94. DOI ↗ | Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. DOI ↗ |
| Aliassen | Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi | Cochran Q Testi, Cochran's Q, Q test for related proportions |
| Verwant≠ | 2 | 4 |
| Samenvatting≠ | Fisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution. | Cochran's Q test is a nonparametric hypothesis test introduced by William G. Cochran in 1950 for comparing proportions across three or more related binary measurements. It extends McNemar's test to the multiple-condition case and is the method of choice when every participant is observed under each condition and the outcome is recorded as a simple success/failure (1/0). |
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