Problem 9. Let Xi, Xj, Xa, Xa be independent random variables with common mean,
ID: 3364595 • Letter: P
Question
Problem 9. Let Xi, Xj, Xa, Xa be independent random variables with common mean, variance, and transform, denoted by EX,var(X), and Mx (s), respectively. Let Y be a random variable that is independent of Xi, Xa, Xa, Xa, and is associated with the transform My () Each part of this problem introduces a new random variable either as a function of Xi, X, Xa. Xa, and Y, or as a transform defined in terms of Mx (s) and My (s). For each part, determine the mean and variance of the new random variable. (b) V-0.25(X1 + X2 + X3 + Xs). (d) R-4XY (e) Mo(s)Mx() h) Mp(s)-Mx(7s)Explanation / Answer
(a)
E[W] = E[X1 + X2 + X3 + X4] = E[X1] + E[X2] + E[X3] + E[X4] = E[X] + E[X] + E[X] + E[X] = 4E[X]
So, E[W] = 4E[X]
Var[W] = Var[X1 + X2 + X3 + X4] = Var[X1] + Var[X2] + Var[X3] + Var[X4] = Var[X] + Var[X] + Var[X] + Var[X] = 4Var[X]
So,Var[W] = 4Var[X]
(b)
E[V] = E[0.25(X1 + X2 + X3 + X4)] = E[0.25X1 + 0.25X2 + 0.25X3 + 0.25X4)]
= 0.25E[X1] + 0.25E[X2] + 0.25E[X3] + 0.25E[X4] = 0.25E[X] + 0.25E[X] + 0.25E[X] + 0.25E[X] = E[X]
So, E[V] = E[X]
Var[V] = Var[0.25(X1 + X2 + X3 + X4)] = Var[0.25X1 + 0.25X2 + 0.25X3 + 0.25X4)]
= 0.252Var[X1] + 0.252Var[X2] + 0.252Var[X3] + 0.252Var[X4]
= 0.0625Var[X] + 0.0625Var[X] + 0.0625Var[X] + 0.0625Var[X] = 0.25Var[X]
So,Var[V] = 0.25Var[X]
(c)
E[U] = E[X1 + X2 + X3 + X4 + Y] = E[X1] + E[X2] + E[X3] + E[X4] + E[Y] = E[X] + E[X] + E[X] + E[X] + E[Y]
= 4E[X] + E[Y]
So, E[U] = 4E[X] + E[Y]
Var[U] = Var[X1 + X2 + X3 + X4 + Y] = Var[X1] + Var[X2] + Var[X3] + Var[X4] + Var[Y]
= Var[X] + Var[X] + Var[X] + Var[X] + Var[Y] = 4Var[X] + Var[Y]
So,Var[U] = 4Var[X] + Var[Y]
(d)
R = 4X - Y
E[R] = E[4X-Y] = E[4X] + E[-Y] = 4E[X] - E[Y]
So, E[R] = 4E[X] - E[Y]
Var[R] = Var[4X-Y] = Var[4X] + Var[-Y] = 42Var[X] + (-1)2 Var[Y] = 16Var[X] + Var[Y]
So,Var[R] = 16Var[X] + Var[Y]
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