4. Let {X1, X2,...} be a sequence of independent, identically distributed random variables. In other words, for
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4. Let {X1, X2,...} be a sequence of independent, identically distributed random variables. In other words, for all n, let X1, X2, . . . , Xn be a random sample from a distribution with mean µ < ∞. Let Sn = X1 + X2 + · · · + Xn, X¯ n = Sn/n. Show that Sn grows at rate n. That is, lim n→∞ P ! n(µ − ε) ≤ Sn ≤ n(µ + ε) " = 1. B
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Fundamentals Of Probability With Stochastic Processes
ISBN: 9780131453401
3rd Edition
Authors: Saeed Ghahramani
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