EE 126, Fall 2001 Midterm 2: Probability and Random Processes, Exams of Probability and Statistics

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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EE 126, Fall 2001
Midterm #2
Professor Anantharam
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.
Problem #1 - 25 points
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, 2X, and 3X 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.
Problem #2 - 7 points
Let X ~ N(2,2). Let the conditional density of Y given X be given by
fY|X(y|x) = (1/((3/21/2)*(2*PI)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.
Problem #3 - 6 points
I throw three darts at a disk of radius R0 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) = { (3*r2/(2*PI*R03) if 0 <= r <=R0 and -PI <= THETA <= PI
0elsewhere
EE 126, Midterm #2, Fall 2001
EE 126, Fall 2001 Midterm #2 Professor Anantharam 1
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EE 126, Fall 2001

Midterm

Professor Anantharam

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.

Problem #1 - 25 points

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.

Problem #2 - 7 points

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.

Problem #3 - 6 points

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

Problem #4 - 7 points

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.

Problem #5 - 5 points

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.

Posted by HKN (Electrical Engineering and Computer Science Honor Society)

University of California at Berkeley

If you have any questions about these online exams

please contact [email protected].

EE 126, Midterm #2, Fall 2001

Problem #4 - 7 points 2