Interpreting the Results We Should Use Post Hoc Tests Instead

Multiple Choice

Interpreting the Results We should use post hoc tests instead of a priori tests when

A) the computed F is not significant.
B) we did not predict group differences.
C) we need to perform fewer pairwise comparisons than the number of treatment groups.
D) we want to reduce the risk of Type 2 error.