What is the key difference between a t-test and an ANOVA?
- t-test is for one variable, ANOVA is for two variables
- t-test is for three groups, ANOVA is for two groups
- t-test is for two groups, ANOVA is for three or more groups
- t-test is for two variables, ANOVA is for one variable
The key difference between a t-test and an ANOVA is the number of groups being compared. A t-test is used to compare the means of two groups, while ANOVA is used to compare the means of three or more groups.
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