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Welchov t-test (nejednake varijance)×Jednosmjerna analiza varijance×
PodručjeStatistikaStatistika
ObiteljHypothesis testHypothesis test
Godina nastanka19471925
TvoracB. L. WelchRonald A. Fisher
VrstaParametric mean comparison (unequal variances)Parametric mean comparison
Temeljni izvorWelch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Drugi naziviunequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Srodne44
SažetakWelch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGateUsporedite metode: Welch t-test · One-way ANOVA. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare