Question

Let MSA defines mean sum of squares due to factor A and

MSE defines mean sum of squares due to error. If the null hypothesis of ANOVA for one way classification is not true, then (E(MSA)) / (E(MSE)) is:

A equal to -1

B more than 1

C equal to 1

D less than 1

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