What is the main purpose of ANOVA, and how does it differ from a t-test when comparing group means?
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The main purpose of ANOVA is to compare the means of three or more groups to determine if there is a statistically significant difference among them.It differs from a t-test in that a t-test is typically used to compare the means of two groups, whereas ANOVA is used when comparing the means of three or more groups. ANOVA can test multiple groups simultaneously, whereas using multiple t-tests increases the risk of Type I errors.