Probability & Random Process Final Exam for CNCE363 at Korea University, Spring 2011, Exams of Probability and Statistics

The final exam questions for the probability and random process course (cnce363) offered in the school of information and communications at korea university during the spring semester of 2011. The exam consists of five problems and is closed-book, but students are allowed to bring two a4 pages of cheat sheets. The problems cover topics such as independent and identically distributed exponential random variables, uniformly distributed random variables, probability of points on a line, and moment generating functions of random variables.

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2012/2013

Uploaded on 02/21/2013

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Korea University
School of Information and Communications
CNCE363: Probability and Random Process
Spring Semester, 2011
Final exam
June 17 Friday (120 minutes)
This is closed book test. However, two A4 pages of cheating sheet are allowed.
Problem 1)[20pt] Let X1and X2be the independent and identically distributed exponential
random variables with the parameter λ(i.e., fZ(z) = λeλz for z0).
(a) Find out P(min(X1, X2)a).
(b) Find out P(max(X1, X2)a).
Problem 2)[20pt] Let X,Y, and Zbe independent and uniformly distributed on (0,1).
Find P(X > Y Z ).
Problem 3)[20pt] Three points X1,X2, and X3are selected at random on a line with length
L. What is the probability that X2lies between X1and X3?
Hint: You should consider two scenarios; X1< X2< X3and X3< X2< X1.
Problem 4)[20pt] Consider continuous random variables Xand Y. The conditional distribution
of xgiven yis fX|Y(x|y) = yexy for 0 < x < and the distribution of yis fY(y) = 3y2for
0< y < 1.
(a) Find E[X|Y=y].
(b) Find E[X]. (Hint: use fundamental theorem of expectation)
Problem 5)[20pt] Moment generating function (MGF) of a RV Xis defined as M(t) = E[etX].
(a) What is M(t) for the standard normal distribution?
(b) Find out E[X] of the standard normal distribution using MGF.
(c) Find out V ar(X) of the standard normal distribution using MGF.

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Korea University

School of Information and Communications

CNCE363: Probability and Random Process

Spring Semester, 2011

Final exam June 17 Friday (120 minutes)

This is closed book test. However, two A4 pages of cheating sheet are allowed.

Problem 1)[20pt] Let X 1 and X 2 be the independent and identically distributed exponential random variables with the parameter λ (i.e., fZ (z) = λe−λz^ for z ≥ 0). (a) Find out P (min(X 1 , X 2 ) ≤ a). (b) Find out P (max(X 1 , X 2 ) ≤ a).

Problem 2)[20pt] Let X, Y , and Z be independent and uniformly distributed on (0, 1). Find P (X > Y Z).

Problem 3)[20pt] Three points X 1 , X 2 , and X 3 are selected at random on a line with length L. What is the probability that X 2 lies between X 1 and X 3?

Hint: You should consider two scenarios; X 1 < X 2 < X 3 and X 3 < X 2 < X 1.

Problem 4)[20pt] Consider continuous random variables X and Y. The conditional distribution of x given y is fX|Y (x|y) = ye−xy^ for 0 < x < ∞ and the distribution of y is fY (y) = 3y^2 for 0 < y < 1. (a) Find E[X|Y = y]. (b) Find E[X]. (Hint: use fundamental theorem of expectation)

Problem 5)[20pt] Moment generating function (MGF) of a RV X is defined as M (t) = E[etX^ ]. (a) What is M (t) for the standard normal distribution? (b) Find out E[X] of the standard normal distribution using MGF. (c) Find out V ar(X) of the standard normal distribution using MGF.