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    We say a critical region C is of size  if = max P{(X1,....,Xn)  C], 0
    We define the power function of a critical region to be c()= P[(X1,...Xn) C], 1

    1)Let X have a pdf of the from f(x; &#61553;)= &#61553;x^(&#61553;-1), 0<x<1, 0 elsewhere, where &#61553;&#61646; {&#61553;:&#61553; =1,2}. To test the simple hypothesis H0: &#61553;=1 against the alternative simple hypothesis H1: &#61553;=2, use a random sample X1, X2 of size n=2 and define the critical region to be C= {(x1,x2): ¾ <= x1x2}. Find the power function of the test.

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    https://brainmass.com/statistics/hypothesis-testing/power-functions-32779

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    We say a critical region C is of size a if = max P0{(X1,....,Xn) E C], &#61553;&#61646;&#61559;0
    We define the power function of a critical region to be &#61543;c(&#61553;)= P&#61553;[(X1,...Xn) &#61646;C], &#61553;&#61646;&#61559;1

    1)Let X have a pdf of the from f(x; &#61553;)= &#61553;x^(&#61553;-1), 0<x<1, 0 elsewhere, where &#61553;&#61646; {&#61553;:&#61553; =1,2}. To test the simple hypothesis H0: &#61553;=1 against the alternative simple hypothesis H1: &#61553;=2, use a random sample X1, X2 of size n=2 and define the critical region to be C= {(x1,x2): ¾ <= x1x2}. Find the power function of the test.

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