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सहप्रसरण विश्लेषण (ANCOVA)×एक-तरफ़ा विचरण विश्लेषण×
क्षेत्रसांख्यिकीसांख्यिकी
परिवारHypothesis testHypothesis test
उद्भव वर्ष19321925
प्रवर्तकRonald A. FisherRonald A. Fisher
प्रकारParametric group comparison with covariate controlParametric mean comparison
मौलिक स्रोतTabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
उपनामanalysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi)one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
संबंधित44
सारांशANCOVA is a parametric hypothesis test that compares the adjusted means of two or more independent groups while statistically controlling for one or more continuous covariates. By removing the portion of outcome variance explained by the covariate, ANCOVA increases statistical precision and produces fairer group comparisons. The method builds on the general linear model framework consolidated by Fisher in the early 1930s and is described comprehensively by Tabachnick and Fidell (2013).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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