Probability Homework With 4 Problems Assignment 1 Problem 1 (6 points) a. (2 points) Do Problem 1.3, page 14 in the text. Explain. b. (2 points) Let A,

Probability Homework With 4 Problems Assignment 1

Problem 1 (6 points)

a. (2 points) Do Problem 1.3, page 14 in the text. Explain.

b. (2 points) Let A,

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Probability Homework With 4 Problems Assignment 1

Problem 1 (6 points)

a. (2 points) Do Problem 1.3, page 14 in the text. Explain.

b. (2 points) Let A, B, and C be events. Derive an expression for the probability
P(A∪B ∪C). Your expression should generalize the expression

P(A∪B) = P(A) + P(B) −P(A∩B)

to unions of three events. Note that your expression should be in terms of the
probabilities of the events A, B, and C and their intersections (not unions).
Explain.

c. (2 points) Do Problem 1.23, page 15 in the text. Explain.

Problem 2 (14 points)

a. (4 points) Do Problem 2.9, page 80 in the text. Compute E[X], V ar(X), and the
moment generating function φX(t), where t ∈ IR.

b. (7 points) Consider a random variable Y with probability density function (PDF):

fY (y) =

{
cye−y/5 if y > 0,
0 otherwise.

(i) Determine the value of c.

(ii) Completely specify the cumulative distribution function (CDF) of the random
variable Y .

(iii) Use the probability density function (PDF) fY to compute E[Y ], V ar(Y ),
and the moment generating function φY (t), where t ∈ IR.

(iv) Use the moment generating function φY to compute E[Y ] and V ar(Y ).

c. (3 points) Let Z be a normal random variable with mean 5 and variance 4 (i.e.,
Z ∼ N(5, 4)).
(i) Use Table 2.3, page 76 in the text, to determine the probability

P{3.52 ≤ Z ≤ 9.14}. Explain.
(ii) Define the random variable Z′ = 3Z − 7. Specify the distribution of Z′.

Explain.

1

Problem 3 (15 points)

a. (2 points) Consider an exponential random variable X with rate λ > 0 (i.e., with
probability density function (PDF) fX(x) = λe

−λx for all x ≥ 0 and fX(x) = 0
for all x < 0). Determine the conditional expected value E[X|X > 1/λ]. Explain.

b. (6 points) Do Problems 3.3 and 3.4, page 164 in the text. Compute the marginal
probability mass function (PMF) and the marginal cumulative distribution func-
tion (CDF) of the random variable Y .

c. (7 points) Consider random variables X and Y with joint probability density func-
tion (PDF):

fX,Y (x,y) =

{
c if 0 ≤ x ≤ 1, 0 ≤ y ≤ 1, x + y ≥ 1,
0 otherwise.

(i) Determine the value of c.

(ii) Determine the probability P{0.5 ≤ X ≤ 1, 0 ≤ Y ≤ 0.5}.
(iii) Compute the marginal probability density functions (PDFs) of the random

variables X and Y .

(iv) Compute E[Y ] and E[Y |X = x] for x = 2
3
.

(v) Are the random variables X and Y independent? Explain.

Problem 4 (10 points)

a. (6 points) Do Problem 3.40, page 170 in the text.

b. (4 points) Do Problem 3.26, page 167 in the text. Provide an intuition for your
answer.

2

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