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    5. Let MSA defines mean sum of squares due to factor A and MSE defines mean sum of squares due to error

    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 Correct Answer Incorrect Answer
    B more than 1 Correct Answer Incorrect Answer
    C equal to 1 Correct Answer Incorrect Answer
    D less than 1 Correct Answer Incorrect Answer

    Solution

    The correct answer is B

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