/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q13E A mail-order computer business h... [FREE SOLUTION] | ÷ÈÓ°Ö±²¥

÷ÈÓ°Ö±²¥

A mail-order computer business has six telephone lines. Let X denote the number of lines in use at a specified time. Suppose the pmf of X is as given in the accompanying table.

X

0

1

2

3

4

5

6

p(x)

.10

.15

.20

.25

.20

.06

.04

Calculate the probability of each of the following events.

a. {at most three lines are in use}

b. {fewer than three lines are in use}

c. {at least three lines are in use}

d. {between two and five lines, inclusive, are in use}

e. {between two and four lines, inclusive, are not in use}

f. {at least four lines are not in use}

Short Answer

Expert verified

a. The probability that at most three lines are in use is 0.70.

b. The probability that fewer than three lines are in use is 0.45.

c. The probability that at least three lines are in use is 0.55.

d. The probability that between two and five lines, inclusive, are in use is 0.71.

e. The probability that between two and four lines, inclusive, are not in use is 0.65.

f. The probability that at least four lines are not in use is 0.45.

Step by step solution

01

Given information

Consider X to be the number of lines in use for a mail order business.

Following table shows the pmf of random variableX:

X

0

1

2

3

4

5

6

P(X)

0.1

0.15

0.2

0.25

0.2

0.06

00.04

02

Compute the probability that at most three lines in use.

a.

Consider X to be the probabilitythat at most three lines in use at a specified time.

The required probability is\(P\left( {X \le 3} \right)\). It can be computed as:

\(P\left( {X \le 3} \right) = P\left( {X = 0} \right) + P\left( {X = 1} \right) + P\left( {X = 2} \right) + P\left( {X = 3} \right)\)

Substitute the values of\(P\left( {X = 0} \right) = 0.1\),\(P\left( {X = 1} \right) = 0.15\),\(P\left( {X = 2} \right) = 0.2\)and\(P\left( {X = 3} \right) = 0.25\)in the above formula,

\(\begin{array}{c}P\left( {X \le 3} \right) = 0.1 + 0.15 + 0.2 + 0.25\\ = 0.70\end{array}\)

Thus, the required probability is 0.70.

03

Compute the probability that fewer than three lines in use.

b.

Consider X to be the probability that fewer than three lines in use at a specified time.

The required probability is\(P\left( {X < 3} \right)\). It can be computed as:

\(P\left( {X < 3} \right) = P\left( {X = 0} \right) + P\left( {X = 1} \right) + P\left( {X = 2} \right)\)

Substitute the values of\(P\left( {X = 0} \right) = 0.1\),\(P\left( {X = 1} \right) = 0.15\),and\(P\left( {X = 2} \right) = 0.2\)in the above formula,

\(\begin{array}{c}P\left( {X < 3} \right) = 0.1 + 0.15 + 0.2\\ = 0.45\end{array}\)

Thus, the required probability is 0.45.

04

Compute the probability that at least three lines in use.

c.

Consider X to be the probability that at least three lines in use at a specified time.

The required probability is\(P\left( {X \ge 3} \right)\). It can be computed as:

\(P\left( {X \ge 3} \right) = P\left( {X = 3} \right) + P\left( {X = 4} \right) + P\left( {X = 5} \right) + P\left( {X = 6} \right)\)

Substitute the values of\(P\left( {X = 3} \right) = 0.25\),\(P\left( {X = 4} \right) = 0.2\),\(P\left( {X = 5} \right) = 0.06\)and\(P\left( {X = 6} \right) = 0.04\)in the above formula,

\(\begin{array}{c}P\left( {X \ge 3} \right) = 0.25 + 0.2 + 0.06 + 0.04\\ = 0.55\end{array}\)

Thus, the required probability is 0.55.

05

Compute the probability that between two andfive lines in use, inclusive

d.

Consider X to be the probability that between two and five lines in use, inclusive

at a specified time.

The required probability is\(P\left( {2 \le X \le 5} \right)\). It can be computed as:

\(P\left( {2 \le X \le 5} \right) = P\left( {X = 2} \right) + P\left( {X = 3} \right) + P\left( {X = 4} \right) + P\left( {X = 5} \right)\)

Substitute the values of\(P\left( {X = 2} \right) = 0.2\),\(P\left( {X = 3} \right) = 0.25\),\(P\left( {X = 4} \right) = 0.2\), and\(P\left( {X = 5} \right) = 0.06\)in the above formula,

\(\begin{array}{c}P\left( {2 \le X \le 5} \right) = 0.2 + 0.25 + 0.2 + 0.06\\ = 0.71\end{array}\)

Thus, the required probability is 0.71.

06

Compute the probability that between two and four lines not in use, inclusive

e.

Consider X to be the probability that between two and four lines not in use, inclusive

at a specified time.

The required probability is\(P\left( {2 \le X \le 4} \right)\). It can be computed as:

\(P\left( {2 \le X \le 4} \right) = P\left( {X = 2} \right) + P\left( {X = 3} \right) + P\left( {X = 4} \right)\)

Substitute the values of\(P\left( {X = 2} \right) = 0.2\),\(P\left( {X = 3} \right) = 0.25\),\(P\left( {X = 4} \right) = 0.2\)in the above formula,

\(\begin{array}{c}P\left( {2 \le X \le 4} \right) = 0.2 + 0.25 + 0.2\\ = 0.65\end{array}\)

Thus, the required probability is 0.65.

07

Compute the probability that at least 4 lines are not in use

f.

Consider X to be the probability that at least four lines not in use, inclusive

at a specified time.

The required probability is\(P\left( {X \le 2} \right)\). It can be computed as:

\(P\left( {X \le 2} \right) = P\left( {X = 0} \right) + P\left( {X = 1} \right) + P\left( {X = 2} \right)\)

Substitute the values of\(P\left( {X = 0} \right) = 0.1\),\(P\left( {X = 1} \right) = 0.15\), and\(P\left( {X = 2} \right) = 0.2\)in the above formula,

\(\begin{array}{c}P\left( {X \le 2} \right) = 0.1 + 0.15 + 0.2\\ = 0.45\end{array}\)

Thus, the required probability is 0.45.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with ÷ÈÓ°Ö±²¥!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

A manufacturer of integrated circuit chips wishes to control the quality of its product by rejecting any batch in which the proportion of defective chips is too high. To this end, out of each batch (10,000 chips), 25 will be selected and tested. If at least 5 of these 25 are defective, the entire batch will be rejected.

a. What is the probability that a batch will be rejected if 5% of the chips in the batch are in fact defective?

b. Answer the question posed in (a) if the percentage of defective chips in the batch is \({\bf{10}}\% \).

c. Answer the question posed in (a) if the percentage of defective chips in the batch is \({\bf{20}}\% \).

d. What happens to the probabilities in (a)–(c) if the critical rejection number is increased from 5 to \({\bf{6}}\)?

Airlines sometimes overbook flights. Suppose that for a plane with 50 seats, 55 passengers have tickets. Define the random variable Y as the number of ticketed passengers who actually show up for the flight. The probability mass function of Y appears in the accompanying table.

y

45

46

47

48

49

50

51

52

53

54

55

p(y)

.05

.10

.12

.14

.25

.17

.06

.05

.03

.02

.01

a. What is the probability that the flight will accommodateall ticketed passengers who show up?

b. What is the probability that not all ticketed passengerswho show up can be accommodated?

c. If you are the first person on the standby list (whichmeans you will be the first one to get on the plane ifthere are any seats available after all ticketed passengers have been accommodated), what is the probability that you will be able to take the flight? What is this probability if you are the third person on the standby list?

Eighteen individuals are scheduled to take a driving test at a particular DMV office on a certain day, eight of whom will be taking the test for the first time. Suppose that six of these individuals are randomly assigned to a particular examiner, and let X be the number among the six who are taking the test for the first time. a. What kind of a distribution does X have (name and values of all parameters)? b. Compute P(X\({\rm{ = 2}}\)), P(X\( \le {\rm{ 2}}\)), and P(X\( \ge {\rm{ 2}}\)). c. Calculate the mean value and standard deviation of X.

A second-stage smog alert has been called in a certain area of Los Angeles County in which there are \({\rm{50}}\) industrial firms. An inspector will visit \({\rm{10}}\) randomly selected firms to check for violations of regulations. a. If \({\rm{15}}\) of the firms are actually violating at least one regulation, what is the pmf of the number of firms visited by the inspector that are in violation of at least one regulation? b. If there are \({\rm{500}}\) firms in the area, of which \({\rm{150}}\) are in violation, approximate the pmf of part (a) by a simpler pmf. c. For X = the number among the 10 visited that are in violation, compute E(X) and V(X) both for the exact pmf and the approximating pmf in part (b).

Grasshoppers are distributed at random in a large field according to a Poisson process with parameter a \({\rm{\alpha = 2}}\) per square yard. How large should the radius \({\rm{R}}\) of a circular sampling region be taken so that the probability of finding at least one in the region equals \({\rm{.99}}\)?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.