Let the random variables (discrete) X1, X2 have the joint pmfp(x1, x2) = 1/3, for (x1,x2) = (-1,0), (0, 1), (1,0) .(a) Compute Cov(X1, X2).(b) Are X1 and X2 independent? Why?

Covariance is given by, Cov(X1,X2)= E(X1)*E(X2)-E(X1*X2) E(X1)= (summation X1*p(X1,X2)) =…

Answered: Let the random variables (discrete) X1,…

Let the random variables (discrete) X1, X2 have the joint pmf p(x1, x2) = 1/3, for (x1, 12) = (-1,0), (0, 1), (1, 0) . %3D (a) Compute Cov(X1, X2). (b) Are X1 and X2 independent? Why?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Let the random variables (discrete) X1, X2 have the joint pmf
p(x1, x2) = 1/3, for (x1,x2) = (-1,0), (0, 1), (1,0) .
(a) Compute Cov(X1, X2).
(b) Are X1 and X2 independent? Why?

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