Understanding ANOVA: One-Way and Two-Way Variants, Assumptions, and Applications
<p>ANOVA, or Analysis of Variance, is a statistical technique used to analyze the differences among group means in a sample. It is often used to determine if there are statistically significant differences between the means of three or more groups. ANOVA can be classified into one-way ANOVA and two-way ANOVA, depending on the number of independent variables being considered.</p>
<p><strong>Assumptions for ANOVA:</strong></p>
<p><strong>1. Independence:</strong> The observations in each group or category must be independent of each other. In other words, the values in one group should not depend on or affect the values in another group.</p>
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