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Thke a break from your little population for a bit, and go back to generalities. Suppose you have a pop ulation which contains a parameter

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Thke a break from your little population for a bit, and go back to generalities. Suppose you have a pop ulation which contains a parameter of interest, and suppose 160 samples are drawn from the population, independently of each other. Suppose that from each sample we can construct a 95% condence for the parameter. Let G be the number of good condence intervals, that is, those that contain the parameter. What is the probability distribution of G? . Find EH3} and SE{G}. On the horizontal axis of the histogram, mark the number of good intervals you got in Problem 31 [you can do this ushlg geomJlineU). Based on the values oi E(G] and SE(G), is your mark in a surprising place? Explain briey

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