Suppose that X1,. , X, is an independent and identically distributed sample from some distribution family G defined by an unknown parameter value 0. Also suppose that the posterior distribution for 0 has the probability density function p(0|x1, ...Xn). The Bayes estimator for 0 is the expected value of the posterior distribution, i.e. E[0\x1,... , xn].

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Q: Let x be a random variable that represents the weights in kilograms (kg) of healthy adult female…

A: Hey there! Thank you for posting the question. Since your question has more than 3 parts, we are…

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Q: Find Cumulative Distribution Function (cdf) of X, F(x), x {0, 1, 2,...}

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