Suppose that a random sample is to be taken from a norma1 distribution for which the va1ue of the mean 0 is unknown and the standard deviation is 2; that the prior distribution of (J is a normal distribution for which the standard deviation is 1; and that the value of 0 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 0 to be 0.01 or less?