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4 CEE 1L Uncertainty, Design, and Optimization – Duke University – Spring 22 – PSH, HPG and JTS Given the probability of a normal rv, ie, given PX≤x, the associated value of xcan be found from the inverse standard normal CDF, x−µ XI =1,,n is a normal random sample then ¯ x ∼ NII Let x1, x2, , x n be a random sample drawn from a population with mean µ and variance σ2In other words, E(xi) = µ, and Var (xi) = σ 2 for i = 1, 2, , n, and the x's are all independent of each otherLet ∑ n i xi n x 1 1 be the sample mean (a) (4 points) Show that E(x) = µE( x ) = E (∑n i xi n 1 1) = n 1 E(∑) = n i xi 1 n 1 ∑ n i E xi Exact Inter Discharge Interval Distribution Of Motor Unit Firing Patterns With Gamma Model Springerlink Y peut vous arriver