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מבחן כי-בריבוע לאי-תלות×V של קרמר×מבחן מקנמר×
תחוםסטטיסטיקהסטטיסטיקהסטטיסטיקה
משפחהHypothesis testHypothesis testHypothesis test
שנת המקור190019461947
הוגה השיטהKarl PearsonHarald CramérQuinn McNemar
סוגNonparametric test of associationNonparametric association measureNonparametric test for paired binary data
מקור מכונןPearson, 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: 978-0691080420McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗
כינוייםchi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testicramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti)McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
קשורות235
תקצירThe 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.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.
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ScholarGateהשוואת שיטות: Chi-square test · Cramer's V · McNemar's test. אוחזר בתאריך 2026-06-18 מתוך https://scholargate.app/he/compare