ANOVA

Analysis of variance or ANOVA is a statistical test similar to a t-test but instead of comparing means of two groups, it can compare several. It tests the null hypothesis, which predicts that all populations come from the same distribution.
Ratio of the variances between the samples determines the statistical significance of the test.
Different uses:

1. One-way ANOVA: used for comparing three or more groups considering one factor
2. Two-way ANOVA: extended version of One-way ANOVA, where two independent variables (factors) are examined; the outcome tells us if groups come from different distributions with respect to both independent variables
3. Repeated measures ANOVA: same subjects are used for comparison with respect to each of several factors

References

Wikipedia. (n.d.). Analysis of variance. Retrieved 01.09.2023 from URL