One-Way ANOVA and Two-Way ANOVA

One-Way ANOVA is a statistical test used to determine if there are significant differences between the means of three or more independent groups. It helps to understand if a single factor impacts a dependent variable. For example, analyzing the effectiveness of different diets on weight loss.
Two-Way ANOVA examines the influence of two different categorical independent variables on one continuous dependent variable. It evaluates the main effects of each factor and their interaction effect. For instance, assessing how different teaching methods and age groups together affect learning outcomes. This analysis is crucial for complex experiments involving multiple factors.
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