Ononot — Consider testing H0: \theta = \theta0 against H1: \theta \ne

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Inferential Statisticshard

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Consider testing $H_0: \theta = \theta_0$ against $H_1: \theta \neq \theta_0$ . If the test statistic $T$ has a null distribution $f_0$ and the alternative distribution $f_1$ , what does the Power of the test $\beta(\theta_1) = P(T \in R | \theta = \theta_1)$ signify?