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(MS

  • A ) / (E(MS
  • E ) is:
A equal to -1
B more than 1
C equal to 1
D less than 1
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