What is a key difference between ANOVA and a t-test?

A) ANOVA can compare more than two groups, while a t-test can only compare two groups.  

B) ANOVA is used for dependent variables only.  

C) A t-test can handle any number of groups.  

D) ANOVA does not require normally distributed data.