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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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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.