Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Kjikvadratt-test for uavhengighet× | Cramérs V× | |
|---|---|---|
| Fagfelt | Statistikk | Statistikk |
| Familie | Hypothesis test | Hypothesis test |
| Opprinnelsesår≠ | 1900 | 1946 |
| Opphavsperson≠ | Karl Pearson | Harald Cramér |
| Type≠ | Nonparametric test of association | Nonparametric association measure |
| Opprinnelig 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 ↗ | Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press. ISBN: 978-0691080420 |
| Alias | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi | cramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti) |
| Relaterte≠ | 2 | 3 |
| Sammendrag≠ | 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. | Cramer's V is a nonparametric effect-size statistic that measures the strength of association between two categorical variables on a scale from 0 to 1. Introduced by the Swedish mathematician Harald Cramér in his 1946 work Mathematical Methods of Statistics, it generalises the phi coefficient to tables of any size, making it the standard companion statistic to the chi-square test. |
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