What is the difference between ANOVA and T-tests?
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ANOVA (Analysis of Variance) and t-test are both statistical tests used to compare means of two or more groups. However, ANOVA is used when there are more than two groups, while t-test is used when there are only two groups.
The main advantage of ANOVA is that it allows us to test for differences among multiple groups simultaneously, while controlling for the overall type I…