Solutions Assignment 6 - Probability I | M 362K, Assignments of Probability and Statistics

Material Type: Assignment; Class: PROBABILITY I; Subject: Mathematics; University: University of Texas - Austin; Term: Fall 2007;

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Math 362K Probability Fall 2007 Instructor: Geir Helleloid
Weekly Homework 6 Solutions
1. (Chapter 4, Problem 48) It is known that diskettes produced by a certain company
will be defective with probability .01, independently of each other. The company sells
the diskettes in packages of size 10 and offers a money-back guarantee that at most 1
of the 10 diskettes in the package will be defective. If someone buys 3 packages, what
is the probability that he or she will return exactly 1 of them?
Solution. The number of defective diskettes Xin a package is a Binomial(10, .01)
random variable. The probability that at most 1 of the diskettes in a package is
defective is
P(X1) = P(X= 0) + P(X= 1)
=10
0×(.99)10 +10
1×(.01)1×(.99)9
.9957
The number of packages Yreturned by the customer is itself a Binomial(3, 0.0043
) random variable, since she returns each of the three packages independently with
probability 1-0.9957. So the probability that the customer returns exactly 1 of the 3
packages is
P(Y= 1) = 3
1×(1 0.9957) ×.99572=.0127 .
2. (Chapter 4, Problem 49a) When coin 1 is flipped, it lands heads with probability .4;
when coin 2 is flipped, it lands heads with probability .7. One of these coins is randomly
chosen and flipped 10 times. What is the probability that exactly 7 of the 10 flips land
on heads?
Solution. The number of heads Xobtained when flipping coin 1 ten times is a Bino-
mial(10, .4) random variable. The number of heads Yobtained when flipping coin 2
ten times is a Binomial(10, .7) random variable. The probability that coin 1 lands
heads up exactly 7 times is
P(X= 7) = 10
7×(.4)7×(.6)3.0425
The probability that coin 2 lands heads up exactly 7 times is
P(Y= 7) = 10
7×(.7)7×(.3)3.2668
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Math 362K Probability Fall 2007 Instructor: Geir Helleloid

Weekly Homework 6 Solutions

  1. (Chapter 4, Problem 48) It is known that diskettes produced by a certain company will be defective with probability .01, independently of each other. The company sells the diskettes in packages of size 10 and offers a money-back guarantee that at most 1 of the 10 diskettes in the package will be defective. If someone buys 3 packages, what is the probability that he or she will return exactly 1 of them?

Solution. The number of defective diskettes X in a package is a Binomial(10, .01) random variable. The probability that at most 1 of the diskettes in a package is defective is

P (X ≤ 1) = P (X = 0) + P (X = 1)

=

× (.99)^10 +

× (.01)^1 × (.99)^9

The number of packages Y returned by the customer is itself a Binomial(3, 0. ) random variable, since she returns each of the three packages independently with probability 1-0.9957. So the probability that the customer returns exactly 1 of the 3 packages is

P (Y = 1) =

× (1 − 0 .9957) ×. 99572 =. 0127.

  1. (Chapter 4, Problem 49a) When coin 1 is flipped, it lands heads with probability .4; when coin 2 is flipped, it lands heads with probability .7. One of these coins is randomly chosen and flipped 10 times. What is the probability that exactly 7 of the 10 flips land on heads?

Solution. The number of heads X obtained when flipping coin 1 ten times is a Bino- mial(10, .4) random variable. The number of heads Y obtained when flipping coin 2 ten times is a Binomial(10, .7) random variable. The probability that coin 1 lands heads up exactly 7 times is

P (X = 7) =

× (.4)^7 × (.6)^3 ≈. 0425

The probability that coin 2 lands heads up exactly 7 times is

P (Y = 7) =

× (.7)^7 × (.3)^3 ≈. 2668

Let E be the event of getting exactly 7 heads. Then, conditioning on which coin was chosen, we have

P (E) = P (E|coin 1)P (coin 1) + P (E|coin 2)P (coin 2) = P (X = 7) × .5 + P (Y = 7) ×. 5 ≈. 1546

  1. (Chapter 4, Problem 60) The number of times that a person contracts a cold in a given year is a Poisson random variable with parameter λ = 5. Suppose that a new wonder grug (based on large quantities of vitamin C) has just been marketed that reduces the Poisson parameter to λ = 3 for 75 percent of the population. For the other 25 percent of the population the drug has no appreciable effect on colds. If an individual tries the drug for a year and has 2 colds in that time, how likely is it that the drug is beneficial for him or her?

Solution. Let E be the event that the drug is beneficial to the person. Let F be the event that the person gets 2 colds. We want P (E|F ). We know P (E) = .75 and P (Ec) = .25. Furthermore, we can compute P (F |E) and P (F |Ec). Namely, given E, the number of colds that the person gets is a Poisson(3) random variable X, and so

P (F |E) = P (X = 2) = e−^3 ×

Similarly, given Ec, the number of colds that the person gets is a Poisson(5) random variable Y , and so

P (F |Ec) = P (X = 5) = e−^5 ×

Thus, by Bayes’ Formula,

P (E|F ) =

P (F |E)P (E)

P (F |E)P (E) + P (F |Ec)P (Ec)

0. 2240 ×. 75

0. 2240 × .75 + 0. 0842 ×. 25