Hypothesis test
One-way Analysis of Variance
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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Sources
- Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
- Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185
Related methods
Referenced by
ANCOVABartlett's TestBayesian ANOVABayesian one-way ANOVABonferroni CorrectionCompletely Randomized DesignContrast AnalysisDescriptive StatisticsDose-Response DesignDunn TestEffect size analysisEquivalence Test (TOST)Fractional Factorial DesignFull Factorial DesignGames-Howell TestHierarchical Linear ModelingHolm CorrectionHotelling's T² TestIndependent samples t-testIndependent t-testJonckheere-Terpstra TestKruskal-Wallis testLatin Square DesignLevene and Brown-Forsythe TestMANCOVAMANOVAMixed ANOVAMultilevel Power AnalysisMultiple Linear RegressionOne-sample t-testPaired t-testPlackett-Burman DesignPower analysisPower Analysis for ANOVARandomized Complete Block DesignRandomized Controlled TrialRepeated-measures ANOVAResponse Surface MethodologyRobust one-way ANOVAScheffé TestSequential AnalysisShapiro-Wilk testSimple Linear RegressionSimulation-Based Power AnalysisSplit-Plot DesignTaguchi MethodTwo-Way ANOVAVan der Waerden TestWelch ANOVAWelch t-test