Two-way ANOVA and what interactions mean.
hardAnswer
- Tests three effects at once: main effect of factor A, main effect of factor B, and A×B interaction.
- Interaction: the effect of A depends on the level of B.
- Significant interaction means main effects are hard to interpret in isolation (plot cell means to visualize).
- Assumptions: normality + equal variances + independence within cells.
- Foundation of factorial experimental design.
Check yourself — multiple choice
- One-effect only
- Tests main A + main B + A×B interaction; significant interaction complicates main-effect interpretation
- Same as one-way
- Only for regression
Two-way ANOVA: main + main + interaction — interaction complicates main effects.
#hypothesis-testing#parametric-tests
Practise Statistics Fundamentals
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