STAT 230 Final, Spring 2008
American University of Beirut · Introduction to Probability and Random Variables · 2 pages
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AMERICAN UNIVERSITY OF BEIRUT
MATH 233 FINAL EXAMINATION
Time = 2 hours
1. Six cards are drawn at random and without replacement from an ordi-
nary deck of 52 cards.
(a) Find the joint density of the number, of aces x. and the number
of kings Y.
(b) Find the conditional density of X given Y. -
Hint: use the fact ;
k .
ny Ne of Mt Ne
(5) (2) ("2")
2. Let X and Y be independent and identically distribiited random vari-
ables with common density -
f(x) = O(1 — 6)? for z= 0, 1,2, fae
Find P(X = Y). -
3, The discrete density of . the random:variable xX is. given by f(r) =
a/8 for « = 1,2 and fy\x(y|z) is binomial with:parameters # and 1/2;
that is
e
frix(y|z) = ( ? ) (=)* for y =0,1,...,2 and « = 1,2
y
Nie
(a) Find £(X) and Var(X).
(b) Find E(Y). ;
(c) Find the joint distribution of X and Y.
aN ee
SOONIVERS Ey,
RARY
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| Sarde tiie Se, Rie AEE AG
eke iecs eae eran
1 Rey oe.
j
4
4
a
Sabir emis:
oa?
;
a
4. Let X1,X2,...,X_ be n independent and identically distributed random x
variables with common density function © :
f(z) =27 fore > 1.
Let ¥, = min{X1, X2,..., Xn}. te #
(a) Does E(X;) exist? If so, Find it. :
(b) Does E(Y,) exist? If so, Find it. 4
5. Let X; and X, be a random sample of size 2 from the density :
f(z) = ser for > “
Find the distribution of the random variable Y = X, 1X3. ;
6. Let X, and X2 be a random sample of'size 2 from the density 4
f(z) = 1 for 0 <2 <1
Sok yes 5
Find the distribution of Y = (X; + X,)/2.
7. Let X and X, be a random sample from N (0, 1); that is the common 4
pd.f.is f(z) = (1/V2zr) exp(—1/227) for all « S
(a) Show that (Xi +X2)/V/2 and (K+ X2)/v2 are 2 independent and 3
N(0,1) random variables. che 8
(b) Find the distribution of (X; +: XX ~ ¥”3)
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4
2 4
. 3
t
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