विधियों की तुलना करें

	विवेचक विश्लेषण	स्वतंत्र प्रतिदर्श t-परीक्षण	एक-तरफ़ा विचरण विश्लेषण
क्षेत्र	सांख्यिकी	सांख्यिकी	सांख्यिकी
परिवार	Latent structure	Hypothesis test	Hypothesis test
उद्भव वर्ष	1936	1908	1925
प्रवर्तक	Ronald A. Fisher	Student (W. S. Gosset)	Ronald A. Fisher
प्रकार	Supervised classification and dimension reduction	Parametric mean comparison	Parametric mean comparison
मौलिक स्रोत	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
उपनाम	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
संबंधित	4	4	4
सारांश	Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.	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.	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.