विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| क्रेमर का V× | स्वतंत्रता का काई-वर्ग परीक्षण (Chi-square Test of Independence)× | |
|---|---|---|
| क्षेत्र | सांख्यिकी | सांख्यिकी |
| परिवार | Hypothesis test | Hypothesis test |
| उद्भव वर्ष≠ | 1946 | 1900 |
| प्रवर्तक≠ | Harald Cramér | Karl Pearson |
| प्रकार≠ | Nonparametric association measure | Nonparametric test of association |
| मौलिक स्रोत≠ | Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press. ISBN: 978-0691080420 | 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 ↗ |
| उपनाम | cramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti) | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| संबंधित≠ | 3 | 2 |
| सारांश≠ | 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. | 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. |
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