Bayesian Statistics for Estimation Suppose we have the improper prior ()e^(a), R(and a0). Conditional on , we have observations X_1,X_2, ..., X_n ~ iid N(, 1). Compute the posterior distribution ( | X_1,X_2,..., X_n ) , then provide the following statistics on the posterior distribution: mean, variance, q_0.025 (cutoff for highest 2.5%). I already found that the variance of the posterior distribution Var(( | X_1,X_2,..., X_n ))=1/n Help me on finding the mean and the cutoff for highest 2.5% (q_0.025)