Binomial - Probability - Exam, Exams of Probability and Statistics

This is the Exam of Probability which includes Density Function, Probability, Unbiased, Same Dice, Conditioning, Company, Construction Project etc. Key important points are: Binomial, Random Variables, Joint Probability, Density, Function, Compute, Probabilities, Central Limit Theorem, Uniformly Distributed, Two Digits

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2012/2013

Uploaded on 02/21/2013

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SAMPLE PROBLEMS FOR FINAL EXAM
MATH 627 Probability, 12/12
1. Let X1, X2, X3be the outcomes of rolling a fair die three times. Deter-
mine P(X1+X2+X39).
2. Let Xand Ybe random variables with the joint probability density
function given by
fXY (x, y ) = 3x0<y<x<1
0 otherwise
Compute E[X|Y=1
2].
3. Let X1have the binomial b(n1,1
2) distribution and let X2have the
binomial b(n2,1
2) distribution. Determine the distribution of Ywhere
Y=X1X2+n2.
4. Let {X1, X2, ...., X25}be 25 independent Bernoulli random variables
each with the probabilities P(X= 1) = 1
2and P(X= 0) = 1
2. Let
Y= Σ25
i=1Xi. Use the Central Limit Theorem to approximate P(12 <
Y < 14).
5. Let Xbe a random variable that is uniformly distributed on (0,1). If
Y=sin(2πX) then find P(Y > 0).
6. Let Xbe an N(0,1) random variable and y=max(0, X). Compute
E[Y].
7. Two digits are randomly selected with replacement from the collection
{0,1, ..., 9}. Find the probability that their sum is 15.
8. Let Xand Ybe random variables with the joint probability density
function
fXY (x, y ) = 10x2y0<y<x<1
0 otherwise
Let V=X+Yand W=X2. Compute P(V < 1).
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SAMPLE PROBLEMS FOR FINAL EXAM

MATH 627 Probability, 12/

  1. Let X 1 , X 2 , X 3 be the outcomes of rolling a fair die three times. Deter- mine P (X 1 + X 2 + X 3 ≤ 9).
  2. Let X and Y be random variables with the joint probability density function given by

fXY (x, y) = 3 x 0 < y < x < 1 0 otherwise

Compute E[X|Y = 12 ].

  1. Let X 1 have the binomial b(n 1 , 12 ) distribution and let X 2 have the binomial b(n 2 , 12 ) distribution. Determine the distribution of Y where Y = X 1 − X 2 + n 2.
  2. Let {X 1 , X 2 , ...., X 25 } be 25 independent Bernoulli random variables each with the probabilities P (X = 1) = 12 and P (X = 0) = 12. Let Y = Σ^25 i=1Xi. Use the Central Limit Theorem to approximate P (12 < Y < 14).
  3. Let X be a random variable that is uniformly distributed on (0, 1). If Y = sin(2πX) then find P (Y > 0).
  4. Let X be an N (0, 1) random variable and y = max(0, X). Compute E[Y ].
  5. Two digits are randomly selected with replacement from the collection { 0 , 1 , ..., 9 }. Find the probability that their sum is 15.
  6. Let X and Y be random variables with the joint probability density function

fXY (x, y) = 10 x^2 y 0 < y < x < 1 0 otherwise

Let V = X + Y and W = X^2. Compute P (V < 1).

  1. In 10 tosses of a fair coin, find the probability that at least one collection of three consecutive heads occurs.
  2. Two distinguishable fair dice are rolled once. Find the conditional probability that one number is a 5 given that the two numbers are different.
  3. Let X and Y be random variables with joint probability density func- tion

fXY (x, y) =

y

e−(y+^

x y )^ x > 0 , y > 0

0 otherwise

Find Cov(X, Y ).

  1. A fair die is rolled three times. Find the probability that a strictly larger number is obtained on each consecutive roll.
  2. Find the probability that a hand of seven cards from a deck of 52 cards contains exactly two distinct pairs.
  3. Two distinguishable fair dice are rolled ten times. Let X be the number of times that the number 1 occurs and Y be the number of times that the number 2 occurs. Find P (X + Y = 4).
  4. Let X and Y be random variables with the joint probability density function

fXY (x, y) = 10 x^2 y 0 < y < x < 1 0 otherwise

Compute P (Y < X^2 ).

  1. Four red balls and four blue balls are randomly placed in eight urns that are numbered one to eight so that exactly one ball is in each urn. What is the probability that exactly one blue ball is in an odd numbered urn?
  2. Let X be a random variable with the probability density function

fX (x) = (x + c)^2 − 1 < x < 1 0 otherwise Find the possible values for the constant c.