Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Test McNemara× | Test niezależności chi-kwadrat× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1947 | 1900 |
| Twórca≠ | Quinn McNemar | Karl Pearson |
| Typ≠ | Nonparametric test for paired binary data | Nonparametric test of association |
| Źródło pierwotne≠ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. 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 | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| Pokrewne≠ | 5 | 2 |
| Podsumowanie≠ | 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. | 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 ↗ |
|
|