Working on summer vacation.Refer to the Harris Interactive(July 2013) poll of whether U.S. adults workduring summer vacation, Exercise 3.13 (p. 169). Recall thatthe poll found that 61% of the respondents work duringtheir summer vacation, 22% do not work at all while onvacation, and 17% were unemployed. Also, 38% of thosewho work while on vacation do so by monitoring theirbusiness emails.

a.Given that a randomly selected poll respondent will work while on summer vacation, what is the probability that the respondent will monitor business emails?

b.What is the probability that a randomly selected poll respondent will work while on summer vacation and will monitor business emails?

c.What is the probability that a randomly selected poll respondent will not work while on summer vacation and will monitor business emails?

Short Answer

Expert verified
  1. 0.38
  2. 23.18%
  3. 0

Step by step solution

01

 Step 1: Finding the probability that the respondent will monitor business emails while on summer vacation

P(A) = Respondents will monitor business emails = 38% = 0.38

Therefore, the probability that a respondent will monitor business emails while on summer vacation is 0.38.

02

Calculating the probability that the respondent will work during vacation and monitor business emails

P(A) = Respondents will monitor business emails while on vacation = 0.38

P(B) = Respondent will work on summer vacation = 0.61

P(AÇB)=P(A)×P(B)=0.38×0.61=0.2318=23.18%

Hence, the probability that the respondent works during the vacation and monitors email is 23.18%.

03

Finding the probability that a respondent will not work on vacation and monitor emails 

P (A) = Respondent does not work on vacation = 22% = 0.22

P (B) = Respondents monitor emails = 38% = 0.38

The probability of both A and B occurring together is 0because the respondent who does not work at all on vacation will not monitor business emails.

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Most popular questions from this chapter

Two fair dice are tossed, and the face on each die is observed.

  1. Use a tree diagram to find the 36 sample points contained in the sample space.
  2. Assign probabilities to the sample points in part a.
  3. Find the probability of each of the following events:

A = {3showing on each die}

B = {Sum of two numbers showing is}

C = {Sum of two numbers showing is even}

Firefighter glove sizing. Human Factors (December 2015) published a study on how well firefighter gloves fit. In a group of 586 firefighters who reported their glove size, the researchers determined whether the gloves fit well or poorly by gender. The data are summarized in the accompanying table. Consider the gender and glove fit status of a randomly selected firefighter.

a. List the sample points for this experiment.

b. Assign reasonable probabilities to these sample points.

c. Find the probability the firefighter is a female.

d. Find the probability the glove fits well.

e. Find the probability the firefighter is a female and has a well-fitting glove.

f. Find the probability the firefighter is a female or has a well-fitting glove.

Glove Fits Well

Glove Fits Poorly

Totals

Males

415

132

547

Females

19

50

39

Totals

434

152

586

Source: H. Hsiao, et al., “Firefighter Hand Anthropometry and Structural Glove Sizing: A New Perspective,” Human Factors, Vol. 57, No. 8, December 2015 (Table 6).

Fuzzy logic in supply chain management. A branch of mathematics known as fuzzy logic was used to improve customer service in supply chain management. (Decision Analytics, February 2014.) Customers rate the importance of one service factor relative to another using the following numerical scale: 1 = service factors are equally important, 3 = one factor is moderately more important, 5 = one factor is strongly more important, 7 = one factor is very strongly more important and 9 = one factor is extremely more important. Fuzzy numbers were developed to allow for variation in customer responses. For example, the fuzzy number 1∼represents an actual response of either 1 or 3; the fuzzy number 7∼represents a response of 5, 7, or 9. Consider the probabilities of the actual responses for each fuzzy number shown in the table.

Fuzzy Response

Probabilities of Actual Responses

1~

P(1)=2/3,P(3)=1/3

3~

P(1)=1/3,P(3)=1/3,P(5)=1/3

5~

P(3)=1/3,P(5)=1/3,P(7)=1/3

7~

P(5)=1/3,P(7)=1/3,P(9)=1/3

9~

P(7)=1/3,P(9)=2/3

a. If a customer gives a fuzzy response7~, what is the probability that the actual response is not a 7?

b. If both5~9~ represent a possible fuzzy response of a customer, what are the possible actual responses for this customer?

Jai-alai bets. The Quinella bet at the paramutual game of jai-alai consists of picking the jai-alai players that will place first and second in a game irrespective of order. In jai-alai, eight players (numbered 1, 2, 3, . . . , 8) compete in every game.

a. How many different Quinella bets are possible?

b. Suppose you bet the Quinella combination of 2—7. If the players are of equal ability, what is the probability that you win the bet?

Museum management. Refer to the Museum Management and Curatorship (June 2010) study of the criteria used to evaluate museum performance, Exercise 2.14 (p. 74). Recall that the managers of 30 leading museums of contemporary art were asked to provide the performance measure used most often. A summary of the results is reproduced in the table. Performance Measure Number of Museums Total visitors 8 Paying visitors 5 Big shows 6 Funds raised 7 Members 4


Performance Measure

Number of Museums

Total visitors

8

Paying visitors

5

Big shows

6

Funds raised

7

Members

4

a. If one of the 30 museums is selected at random, what is the probability that the museum uses total visitors or funds raised most often as a performance measure?

b. Consider two museums of contemporary art randomly selected from all such museums. Of interest is whether or not the museums use total visitors or funds raised most often as a performance measure. Use a tree diagram to aid in listing the sample points for this problem.

c. Assign reasonable probabilities to the sample points of part b.

d. Refer to parts b and c. Find the probability that both museums use total visitors or funds raised most often as a performance measure.

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