Process / pipelineparametric-hypothesis-testing

Analysis of Variance (ANOVA)

ANOVA is a parametric statistical method developed by Ronald A. Fisher in 1925 that tests whether means differ significantly across three or more independent groups. By partitioning total variance into between-group and within-group components, ANOVA determines whether observed differences are likely due to treatment effects or random variation, making it fundamental to comparative research across medicine, psychology, agriculture, and engineering.

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Sources

  1. Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boyd. DOI: 10.1037/14612-001
  2. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. DOI: 10.1080/01621459.1952.10483441

Related methods

Referenced by

ScholarGateAnalysis of Variance (ANOVA) (Analysis of Variance). Retrieved 2026-06-04 from https://scholargate.app/tr/research-statistics/analysis-of-variance