Analyze whether means differ across groups. Decompose variance into between-group and within-group components. Run Bonferroni-corrected post-hoc pairwise comparisons.
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| Group | N | Mean | SD |
|---|---|---|---|
Method A | 20 | 72.50 | 5.26 |
Method B | 20 | 76.05 | 4.77 |
Method C | 20 | 78.20 | 5.49 |
Method D | 20 | 74.75 | 3.48 |
Each group has 20 observations. Select a preset to change the dataset.
One-way ANOVA assumes independent observations, approximately normal residuals within each group, and roughly equal group variances. Check the box plots above for badly skewed groups or very unequal spreads before trusting the F-test.
ANOVA decomposes total variability into between-group and within-group components. Press Next to begin the variance decomposition.
SSTotal = SSBetween + SSWithin
Post-hoc comparisons appear when ANOVA is significant (p < 0.05).
Currently showing between-subjects ANOVA: each participant is in exactly one group. Toggle to see how the design changes with repeated measures.
Run ANOVA to see a summary of results.