3. This question has to do with expected mean squares. One way to state it is in terms of expected mean squares of treatment and errors. Although you will rarely need to know the expected value of MST or MSE, it is important to see that both expected values are the same when the null hypothesis is true and that the expected value of MST is larger when the null hypothesis is false.
a. For a single factor Anova, find/derive E(MSerr).
b. Find/derive E(MStmt) for H0 when it is both true and false.
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