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This video discusses parameter estimation and complete statistics. A statistic t follows a distribution with a parameter theta in a parameter space omega. Statistic t is complete for family script f if the expected value of any function of t equals zero for all theta, implying that the function g of t is zero for all theta almost everywhere. Even if this is not true for one point, it still holds as that point has a probability of zero. Example provided shows that the nth order statistic x n is both sufficient and complete when x i is from a distribution.