Inferential Statisticshard
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Consider testing H0:θ=0H_0: \theta = 0 against H1:θ>0H_1: \theta > 0. If the power function is β(θ)=Φ(nθz1α)\beta(\theta) = \Phi(\sqrt{n}\theta - z_{1-\alpha}), how does increasing the sample size nn affect the Type II error rate β\beta for a fixed alternative θa>0\theta_a > 0?