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ANOVA & Group Comparisons
A two-sample t-test compares two groups. These tools compare three or more groups at once, without inflating your false-positive rate by running many pairwise t-tests instead. Every engine here reports cell sizes, group means and standard deviations, the omnibus test statistic, degrees of freedom, p-value, and an effect size together.
These tools calculate group sample sizes, the observed variance ratio, and residuals directly from your data, but a significant omnibus test does not by itself identify which specific groups differ, and whether your design is genuinely independent or repeated measures is left for you to specify correctly.
Engines in this category
- One-Way ANOVA Calculator
Compare means across three or more independent groups at once.
- Welch ANOVA Calculator
Compare group means without assuming equal variance across groups.
- Eta Squared Calculator
Quantify the proportion of variation explained by group membership.
- Omega Squared Calculator
Provide a less biased ANOVA effect-size estimate than eta squared.