Random Variableshard
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Let X1,X2,,XnX_1, X_2, \ldots, X_n be i.i.d. with mean μ\mu and variance σ2\sigma^2. What does the Law of Large Numbers state about Xn=1ni=1nXi\overline{X}_n = \frac{1}{n}\sum_{i=1}^n X_i?