STAT 230 Final, Fall 2004
American University of Beirut · Introduction to Probability and Random Variables · 1 page
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AMERICAN UNIVERSITY OF BEIRUT
STATISTICS 230, Final Exam
Jan 31, 2005
Time = 1 Hour and 30 Minutes
You are allowed to use a formula sheet.
1. Let X be a discrete random variable that assumes positive probabilities
on the set {1,2,---}. Show that B(X) = D%p1 — Fx(x)], when it
exists.
_ Let X and Y be two random variables with a joint cumulative dis-
tribution function F(z,y) = P(X < 2,Y < y). Show that Fyx(x) +
Fy(y) -1< F(z,y) < J Fx(x)Fyly), where Fx(z) and Fy(y) are the
respective cumulative distribution functions of the random variables X
and Y.
. Let Xy,X2,°::,Xn be n independent and identically distributed ran-
dom variables with common probability density function f(z) = ke7l2-4l
if -co <Z< oO.
(a) Determine the value of & such that f(x) is a probability density
function.
(b) Find 6, the maximum likelihood estimate of 8. Hint: You may
need to minimize S77 |X; — @|
(c) if n = 3, is the estimator found in (2) unbiased?
. Let X denote the time required to do a computation using algorithm
written in programming language A, and let Y denote the time required
to the same calculations using programming language B. Assume fur-
ther that X is normally distributed and with mean 10 seconds and
standard deviation 3 seconds and Y is normally distributed with mean
9 seconds and standard deviation of 4 seconds.
(a) What is the distribution of X — Y?
(b) Find the probability that a given calculation will run faster using
A than when using B.