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When doing hypothesis testing in the real world • A. the researcher knows when the effects...

When doing hypothesis testing in the real world • A. the researcher knows when the effects are real, but does not know when they are not real. • B. the researcher rarely knows the population parameters • C. the researcher knows when he or she has made a Type I error. • D. the researcher knows when he or she has made a Type II error.

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Answer #1

For doing the hypothesis testing in the real world under a given level of significance the researcher can know the probability of making a type I or type I error but not know when they have made it.

in the real world they rarely know the population parameters because the population concerned is very large and it is nearly impossible to sample the whole population.

So option B is correct.

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