Math 362 Final Exam Fall '09: Probability and Statistics, Exams of Probability and Statistics

The final exam questions for math 362, a university-level course in probability and statistics, from the fall '09 semester. The exam covers topics such as probability calculations, conditional probability, roulette games, dealing cards, and density functions.

Typology: Exams

2012/2013

Uploaded on 02/20/2013

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Math 362 Final Exam Fall ’09
1. A certain country has a careless mint. One out of every 801 coins
comes out with two heads. Pick a coin at random and flip it three
times.
a) What is the probability all three tosses are heads?
b) What is the conditional probability the coin was two-headed,
given that all three tosses were heads?
2. George decides to play roulette, betting on a single number each
time, until he wins. Since a roulette wheel has 38 slots, the prob-
ability of winning on a given play is 1
38 .
a) What is the probability he plays at least 5 times?
b) How many times should he expect to play?
c) What is the variance for the number of plays?
3. Deal 7 cards from a well-shuffled deck.
a) What is the probability at least five of the cards are spades?
b) What is the probability at least five of the cards are in the
same suit?
c) How many spades to you expect to get?
d) What is the variance for the number of spades in the hand?
4. Consider the density function
f(x, y)=15
2xy2for 0 x1, xyx.
0otherwise.
Compute the following:
a) f1(x)
b) E(X)
c) V(X)
d) E(Y|X)
e) V(Y|X)
f) E(Y)
g) E(Y2)
h) V(Y)
i) E(XY )
j) Cov(X, Y )
k) ρ
l) E(2X+3Y)
m) V(2X+3Y).
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Math 362 Final Exam Fall ’

  1. A certain country has a careless mint. One out of every 801 coins comes out with two heads. Pick a coin at random and flip it three times. a) What is the probability all three tosses are heads? b) What is the conditional probability the coin was two-headed, given that all three tosses were heads?
  2. George decides to play roulette, betting on a single number each time, until he wins. Since a roulette wheel has 38 slots, the prob- ability of winning on a given play is 381. a) What is the probability he plays at least 5 times? b) How many times should he expect to play? c) What is the variance for the number of plays?
  3. Deal 7 cards from a well-shuffled deck. a) What is the probability at least five of the cards are spades? b) What is the probability at least five of the cards are in the same suit? c) How many spades to you expect to get? d) What is the variance for the number of spades in the hand?
  4. Consider the density function

f (x, y) =

15 2 xy

(^2) for 0 ≤ x ≤ 1, −x ≤ y ≤ x. 0 otherwise.

Compute the following: a) f 1 (x) b) E(X) c) V (X) d) E(Y |X) e) V (Y |X) f) E(Y ) g) E(Y 2 ) h) V (Y ) i) E(XY ) j) Cov(X, Y ) k) ρ l) E(2X + 3Y ) m) V (2X + 3Y ).

2 Final Exam

n) If 0 ≤ y ≤ 1, what is f 2 (y)? o) Are X and Y independent? Give a reason. p) What is P (Y ≥ −^14 | X ≤ 12 )? q) What is P (Y ≥ −^14 | X = 12 )?

  1. A large jar is filled with coins. 40% of the coins are quarters, 30% are dimes, 20% are nickels and 10% are pennies. Select 10 coins at random. a) What is the probability five of the coins are quarters, two are dimes, two are nickels and one is a penny? b) What are the expected value and variance for the amount of money drawn?