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Suppose that in the following hypothesis testing situation about a parameter θ (θ 1) Ho : θ-1 against H1 : θ> 1 the power fun

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Answer #1

a). The size of a test is the maximum probability of incorrectly rejecting the null hypothesis when it is true, i.e. the maximum probability of committing a Type 1 error.

The size of this test = \alpha =\pi(\theta0) = \pi(\theta = 1) = 1- (0.9/1) = 1- 0.9 = 0.1

The size of this test is 10 % or probabilty = 0.1

b). The power of this test (at \theta = 2) = \pi(2) = 1- (0.9/2) = 0.55

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