ANOVA, or Analysis of Variance, serves as a statistical test employed to compare the means of distinct groups within a sample. It proves particularly useful in scenarios involving three or more groups or conditions, helping ascertain whether there exist statistically significant differences among them. ANOVA aids in determining if the variation between group means surpasses the variation within groups, offering valuable insights across various research and experimental contexts.
ANOVA Variables:
In situations where there is a single categorical independent variable with more than two levels (groups), and the goal is to compare their means, the one-way ANOVA is applied.
Extending the one-way ANOVA to encompass two independent variables, the Two-Way ANOVA facilitates the exploration of their interaction effects.
For cases involving more than two independent variables or factors that may interact in intricate ways, Multifactor ANOVA comes into play.