विधियों की तुलना करें

	एक-तरफ़ा विचरण विश्लेषण	स्वतंत्र प्रतिदर्श t-परीक्षण
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Hypothesis test	Hypothesis test
उद्भव वर्ष	1925	1908
प्रवर्तक	Ronald A. Fisher	Student (W. S. Gosset)
प्रकार	Parametric mean comparison	Parametric mean comparison
मौलिक स्रोत	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
उपनाम	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
संबंधित	4	4
सारांश	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.	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.