विधियों की तुलना करें

	क्रमित विकल्पों के लिए जोंकहेरे-टेर्पस्ट्रा परीक्षण	फ्रिडमैन परीक्षण
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Hypothesis test	Hypothesis test
उद्भव वर्ष	1952	1937
प्रवर्तक	A. R. Jonckheere and T. J. Terpstra	Milton Friedman
प्रकार	Nonparametric trend test	Nonparametric repeated-measures comparison (by ranks)
मौलिक स्रोत	Jonckheere, A. R. (1954). A distribution-free k-sample test against ordered alternatives. Biometrika, 41(1-2), 133–145.	Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701.
उपनाम	Jonckheere-Terpstra Testi, JT test, ordered k-sample test, trend test for ordered groups	Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi
संबंधित	5	2
सारांश	The Jonckheere-Terpstra test is a nonparametric hypothesis test that detects a monotone trend across k ordered groups — testing whether the outcome rises (or falls) systematically as the group order increases. Developed independently by T. J. Terpstra (1952) and A. R. Jonckheere (1954), it is the directional, ordered-alternative counterpart to the Kruskal-Wallis test.	The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality.