Asked by Sarah

Recall that the power (1 – β) of a hypothesis test is the probability that we will reject
the null hypothesis given that it is false; that is, the probability that we will correctly
reject the null hypothesis. All other things being equal, which of the following
changes to our hypothesis test will result in an increase of power? (Circle all that
apply.)
I. Increasing sample size
II. Decreasing sample size
III. Increasing the level of significance (α)
IV. Decreasing the level ofsignificance (α)

please explain

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