Question: Suppose that a random sample is to be taken from a normal distribution for which the value of the mean is unknown and the

Suppose that a random sample is to be taken from a normal distribution for which the value of the mean θ is unknown and the standard deviation is 2, the prior distribution of θ is a normal distribution for which the standard deviation is 1, and the value of θ must be estimated by using the squared error loss function. What is the smallest random sample that must be taken in order for the mean squared error of the Bayes estimator of θ to be 0.01 or less?

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