Question: Distinguish between the two types of errors which are possible in hypothesis testing. In general, is it reasonable to assume that one type of error

Distinguish between the two types of errors which are possible in hypothesis testing. In general, is it reasonable to assume that one type of error is always more serious than the other? If there are two types of error, why does the

“classical” convention presented in Section 7.9 only involve one type of error?

After the statistician has fixed

a, does he have any control over /?? Explain.

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