Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Test Q Cochrana× | Test niezależności chi-kwadrat× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1950 | 1900 |
| Twórca≠ | William G. Cochran | Karl Pearson |
| Typ≠ | Nonparametric proportions comparison | Nonparametric test of association |
| Źródło pierwotne≠ | Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. DOI ↗ | 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 ↗ |
| Inne nazwy≠ | Cochran Q Testi, Cochran's Q, Q test for related proportions | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| Pokrewne≠ | 4 | 2 |
| Podsumowanie≠ | 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). | 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. |
| ScholarGateZbiór danych ↗ |
|
|