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المجالالإحصاءالإحصاء
العائلةHypothesis testHypothesis test
سنة النشأة19081925
صاحب الطريقةStudent (W. S. Gosset)Ronald A. Fisher
النوعParametric mean comparisonParametric mean comparison
المصدر التأسيسيStudent (W. S. Gosset) (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
الأسماء البديلةtwo-sample t-test, unpaired t-test, Student t-test, independent groups t-testone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
ذات صلة44
الملخصThe independent samples t-test is a parametric hypothesis test that determines whether the means of two independent, unrelated groups differ significantly on a continuous outcome variable. Derived from Gosset's 1908 t-distribution, it is one of the most widely used inferential tests in social, behavioral, biomedical, and experimental sciences.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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ScholarGateقارن الطرق: Independent samples t-test · One-way ANOVA. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare