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| Chi-kvadrat-test for uafhængighed× | Fishers eksakte test× | |
|---|---|---|
| Fagområde | Statistik | Statistik |
| Familie | Hypothesis test | Hypothesis test |
| Oprindelsesår≠ | 1900 | 1922 |
| Ophavsperson≠ | Karl Pearson | R. A. Fisher |
| Type≠ | Nonparametric test of association | Exact test of independence for categorical data |
| Oprindelig kilde≠ | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗ | 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 ↗ |
| Aliasser≠ | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi | Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi |
| Relaterede | 2 | 2 |
| Resumé≠ | The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900. | 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. |
| ScholarGateDatasæt ↗ |
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