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Performance-based logistics. Refer to the Journal of Business Logistics (Vol. 36, 2015) study of performance-based logistics (PBL) strategies, Exercise 1.15 (p. 49). Recall that the study was based on the opinions of a sample of 17 upper-level employees of the U.S. Department of Defense and its suppliers. The current position (e.g., vice president, manager), type of organization (commercial or government), and years of experience for each team member interviewed are listed below. Suppose we randomly select one of these interviewees for more in-depth questioning on PBL strategies.

a. What is the probability that the interviewee works for a government organization?

b. What is the probability that the interviewee has at least 20 years of experience?

Interviewee

Position

Organization

Experience (years)

1

Vice president

Commercial

30

2

Postproduction

Government

15

3

Analyst

Commercial

10

4

Senior manager (mgr.)

Government

30

5

Support chief

Government

30

6

Specialist

Government

25

7

Senior analyst

Commercial

9

8

Division chief

Government

6

9

Item mgr.

Government

3

10

Senior mgr.

Government

20

11

MRO mgr.

Government

25

12

Logistics mgr.

Government

30

13

MRO mgr.

Commercial

10

14

MRO mgr.

Commercial

5

15

MRO mgr.

Commercial

10

16

Specialist

Government

20

17

Chief

Government

25

Short Answer

Expert verified
  1. 0.75
  2. 0.36

Step by step solution

01

Step-by-Step SolutionStep 1: Introduction

Probability is a measure of the possibility that an event will occur in a Random Experiment. The probability formula is used to calculate the likelihood of an event occurring. The following is the formula for calculating the probability of an occurrence:

Probability=FavourableoutcomeTotaloutcome

02

Find the probability of government organization

Totalofgovernmentorganization=15+30+30+25+6+3+20+25+30+20+25=229

role="math" localid="1653480317687" P(Governmentorganization)=229303=0.75

Hence, the required probability is 0.75.

03

Find the probability of at least 20 years of experience

Totalofatleast20yearsexperience=15+10+9+6+3+20+10+5+10+20=108

role="math" localid="1653480437013" P(atleast20years)=108303=0.36

Hence, the required probability is 0.36.

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Most popular questions from this chapter

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.

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}

Three fair coins are tossed and either heads(H) or tails(T) are observed for each coin.

  1. List the sample points for the experiment.
  2. Assign probabilities to the sample points.
  3. Determine the probability of observing each of the following events:

A= {Three heads are observed}

B= {Exactly two heads are observed}

C= {At least two heads are observed}

Simulate the experiment described in Exercise 3.7 using any five identically shaped objects, two of which are one colour and the three another colour. Mix the objects, draw two, record the results, and then replace the objects. Repeat the experiment a large number of times (at least 100). Calculate the proportion of time events A, B, and C occur. How do these proportions compare with the probabilities you calculated in Exercise 3.7? Should these proportions equal the probabilities? Explain.

Two fair dice are tossed, and the following events are defined:

A: {Sum of the numbers showing is odd.}

B: {Sum of the numbers showing is 9, 11, or 12.}

Are events A and B independent? Why?

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