Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Fisherův exaktní test× | McNemarův test× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1922 | 1947 |
| Tvůrce≠ | R. A. Fisher | Quinn McNemar |
| Typ≠ | Exact test of independence for categorical data | Nonparametric test for paired binary data |
| Původní zdroj≠ | 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 ↗ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗ |
| Další názvy≠ | Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi |
| Příbuzné≠ | 2 | 5 |
| Shrnutí≠ | 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. | McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes. |
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