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Analisis Varians Satu Hala×Analisis Varians Welch×
BidangStatistikStatistik
KeluargaHypothesis testHypothesis test
Tahun asal19251951
PengasasRonald A. FisherB. L. Welch
JenisParametric mean comparisonParametric mean comparison (heteroscedastic)
Sumber perintisFisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗Welch, B.L. (1951). On the Comparison of Several Mean Values. Biometrika, 38(3/4), 330–336. link ↗
Aliasone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVAWelch's F-test, heteroscedastic one-way ANOVA, Welch ANOVA — Heterojen Varyans ANOVA
Berkaitan43
RingkasanOne-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.Welch ANOVA is a parametric hypothesis test that compares the means of three or more independent groups when their variances are not equal. Introduced by B. L. Welch in 1951, it replaces classic one-way ANOVA whenever the homogeneity-of-variance assumption fails, while still requiring approximately normal data.
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ScholarGateBandingkan kaedah: One-way ANOVA · Welch ANOVA. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare