Question: Given the random vector X' = [X1, X2, ..., Xs] with mean vector /'x = [2, 4, -1, 3, 0] and variance-covariance matrix: 4 -1
![Given the random vector X' = [X1, X2, ..., Xs] with](https://dsd5zvtm8ll6.cloudfront.net/si.experts.images/questions/2024/09/66ef196eba66d_64666ef196ea84da.jpg)
![mean vector /'x = [2, 4, -1, 3, 0] and variance-covariance matrix:](https://dsd5zvtm8ll6.cloudfront.net/si.experts.images/questions/2024/09/66ef196f018b6_64666ef196ee2f5e.jpg)
Given the random vector X' = [X1, X2, ..., Xs] with mean vector /'x = [2, 4, -1, 3, 0] and variance-covariance matrix: 4 -1 -1 3 -1 E, = 1 6 1 -1 -1 0 -1 0 2 Partition X as X [X(1) X = X 7 = x (2) X3 XA Let A= [1 7] and B = [ 1 21And consider the linear combinations AX]) and BX(2). Find (a) E(X(1) (b) E(AX(1) (c) Cov(X(1) (d) Cov(AX(1)) (e) E(X(2) (f) E(BX 12) (g) Cov(X(2) (h) Cov(BX12) (i) Cov(x(1), x12) (j) Cov(AX(1), BX(2)
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
