A statistician is interested in the mean p of a normal population, and his prior distribution is normal with mean 800 and variance 12. The variance of the population is known to be 72. How large a sample would be needed to guar¬

antee that the variance of the posterior distribution is no larger than 1 ? How large a sample would be needed to guarantee that the variance of the posterior distribution is no larger than .1?