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The instructions and problems for midterm 2 of ee 126, a probability and random processes course offered at the university of california, berkeley in fall 2001. The exam covers topics such as gaussian random variables, conditional densities, and independent random variables.
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The exams starts at 3:40 p.m. sharp and ends at 5:00 p.m. sharp. There are 5 problems. The maximum score is 50 points. The exam is open book and notes.
For each of the following statements, indicate whether you believe that the statement is true or believe it is false, and give a brief explanation of your reasoning. A correct answer without a valid explanation gets 1 points. A correct answer with a valid explanation gets 5 points.
(a) If X is a Gaussian random variable the X , 2 X , and 3 X are jointly Gaussian random variables.
(b) Let X , Y , and Z be random variables, which you may assume have a joint density. Let W = Y + Z. Then
E [ W | X ] = E [ Y | X ] + E [ Z | X ]
(c) Let X , Y , and Z be random variables, which you may assume have a joint density. Let W = Y + Z. Then
E [ X | W ] = E [ X | Y ] + E [ X | Z ]
(d) If X is Gaussian and Y is uncorrelated with X , then X and Y are independent.
(e) If Gaussian random variables X and Y have the same mean and the same second moment then they have the same fourth moment.
Let X ~ N (2,2). Let the conditional density of Y given X be given by
fY | X ( y | x ) = (1/((3/21/2)(2PI)1/2))* e (-1/2)(2/9)( y -(1/2)*(x-2)-3)2,
i.e. conditional on X , Y is Gaussian with mean (1/2)( X - 2) + 3 and variance 9/2. Find the density of Y.
I throw three darts at a disk of radius R 0 centered at the origin. Each dart lands on the disk and the point at which it lands is distributed according to fR (^) THETA(r, theta) = { (3r^2 /(2PI*R 03 ) if 0 <= r <=R 0 and -PI <= THETA <= PI 0 elsewhere
EE 126, Midterm #2, Fall 2001
EE 126, Fall 2001 Midterm #2 Professor Anantharam 1
X and Y are jointly Gaussian mean zero random variables. You are told that the the variance of X + Y is 1, the variance of X - Y is 1, and the Cov ( X + Y , X - Y ) = 0. Find the joint density of X and Y.
X and Y are independent random variables, each of which is exponentially distributed with parameter 1. Find the linear MSE estimate of X + Y given X - Y.
EE 126, Midterm #2, Fall 2001
Problem #4 - 7 points 2