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Analisis Varians Satu Hala×Ujian-t Sampel Bebas×
BidangStatistikStatistik
KeluargaHypothesis testHypothesis test
Tahun asal19251908
PengasasRonald A. FisherStudent (W. S. Gosset)
JenisParametric mean comparisonParametric mean comparison
Sumber perintisFisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
Aliasone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVAstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Berkaitan44
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.The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.
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ScholarGateBandingkan kaedah: One-way ANOVA · Independent t-test. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare