Let X be a joint Gaussian random vector X X 2 with mean and covariance tiven by: E[X] = [8] Ex = [1 2] Define the random variable Z= = [3 2 ]X+4. Compute Var[Z].

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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QUESTION 7
X
11
X
2
Let X be a joint Gaussian random vector
with mean and covariance tiven by:
01
0
EX= [0]; x = [62]
ΕΧ
Ex 0
Define the random variable Z= 3 2 X+4. Compute Var[Z].
4
Transcribed Image Text:QUESTION 7 X 11 X 2 Let X be a joint Gaussian random vector with mean and covariance tiven by: 01 0 EX= [0]; x = [62] ΕΧ Ex 0 Define the random variable Z= 3 2 X+4. Compute Var[Z]. 4
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QUESTION 4
Let X, Y be joint Gaussian random variables with E[X]=0,E[Y]=0, Var[X]=2, Var[Y]=4 and Cov[X,Y] =2. Compute
E[XIY=1] as a decimal and enter the answer.
QUESTION 5
Let X, Y be joint Gaussian random variables with E[X]=0,E[Y]=0, Var[X]=2, Var[Y]=4 and Cov[X,Y] =2. Compute
Var[X]Y=1] as a decimal and enter the answer.
Transcribed Image Text:QUESTION 4 Let X, Y be joint Gaussian random variables with E[X]=0,E[Y]=0, Var[X]=2, Var[Y]=4 and Cov[X,Y] =2. Compute E[XIY=1] as a decimal and enter the answer. QUESTION 5 Let X, Y be joint Gaussian random variables with E[X]=0,E[Y]=0, Var[X]=2, Var[Y]=4 and Cov[X,Y] =2. Compute Var[X]Y=1] as a decimal and enter the answer.
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