Hypothesis test

Two-Way Analysis of Variance (Two-Way ANOVA)

Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors.

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Sources

  1. Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478

Related methods

Referenced by

ScholarGateTwo-Way ANOVA (Two-Way Analysis of Variance). Retrieved 2026-06-04 from https://scholargate.app/tr/statistics/two-way-anova