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Analiza kovarijacije (ANCOVA)×Jednosmerna analiza varijanse×
OblastStatistikaStatistika
PorodicaHypothesis testHypothesis test
Godina nastanka19321925
TvoracRonald A. FisherRonald A. Fisher
TipParametric group comparison with covariate controlParametric mean comparison
Temeljni izvorTabachnick, 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 ↗
Drugi nazivianalysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi)one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Srodne44
SažetakANCOVA 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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ScholarGateUporedite metode: ANCOVA · One-way ANOVA. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare