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We immediately recognize this, as a function of u, as being proportional to the density of an n N uo n n + x + distribution. Notice that the posterior mean is a weighted average of the prior mean Mo and the sample mean x, with weights -1 -1 n n n and ON respectively. This implies that the posterior mean lies between the prior mean and the sample mean