What is the purpose of Analysis of Variance (ANOVA), and how does it differ from a t-test?
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ANOVA compares means among three or more groups, whereas t-tests solely compare means between two groups.
ANOVA is used to compare the means of three or more groups to determine if there are statistically significant differences between them. It differs from a t-test because a t-test compares only two means, whereas ANOVA can handle multiple groups simultaneously.