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When does Rao-Blackwell give you nothing at all?

You already estimate the mean μ\mu of an i.i.d. sample X1,,XnX_1, \dots, X_n using the sample mean Xˉ\bar X, and S=iXiS = \sum_i X_i is a sufficient statistic. A colleague suggests running Rao-Blackwell anyway, forming E[XˉS]\mathbb{E}[\bar X \mid S], hoping to shave the variance further.

Does Rao-Blackwellizing Xˉ\bar X reduce its variance? Characterize exactly when the procedure gives no improvement.

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