Why is using multiple T-tests instead of an ANOVA problematic? (note: multiple ircleln answers are correct and all correct answers must be selected to receive credit for this question) Many T-Tests are required once the number of groups becomes large ANOVA is better when comparing two groups O T-tests can only be performed on data with homogeneous variances It-Out The probability of commiting a Type I error becomes very large when the number of groups becomes large OT-tests use T-distributions, which can not be compared to muliple other T-distributions