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What is the purpose of Analysis of Variance (ANOVA), and how does it differ from a t-test?

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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.

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