In a Single-Factor Analysis of Variance, MST Is the Mean

Multiple Choice

In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is likely false if:

A) MST is much larger than MSE.
B) MST is much smaller than MSE.
C) MST is equal to MSE.
D) MST is zero.