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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}

Short Answer

Expert verified
  1. Tree Diagram
  2. Table
  3. P(A)=136,P(B)=16,P(C)=12

Step by step solution

01

Finding the sample points contained in sample space

Two dice are tossed and the face on each dice is observed. The first dice is tossed and the face on the dice is written. After that, the second dice is tossed and the face on this dice is observed. The first branches show the face on the first dice and the ends show the face on the second dice.

02

Assigning probability to sample points

Two fair dice are tossed, the faces on one dice are 1, 2, 3, 4, 5 and 6 .

Therefore, the total number of possible outcomes are 62=36

03

Finding the probability of event A,B and C

A=3showing on each die andS=total outcome (sample space)

One observes 3 on both the dice only one time.

Hence nB=1 and nS=36

localid="1662212210908" PA=FavorablenumberofoutcomesTotalnumberofoutcomes=nAnS=136

Therefore, the probability of getting 3 on each die is localid="1662212168718" 136.

B=Sum of two numbers showing is 7

One observes sum of two numbers showing as 7 when the sample points are 1,6,2,5,3,4,4,3,5,2,6,1

Therefore, nB=6

localid="1662212248503" PB=FavorablenumberofoutcomesTotalnumberofoutcomes=nBnS=636=16

Thus, the probability of getting two numbers whose sum is 7 is16.

C=Sum of two numbers is even

One observes sum of two numbers is even when the sample points are

1,1,1,3,1,5,2,2,2,4,2,6,3,1,3,3,3,54,2,4,4,4,6,5,1,5,3,5,5,6,2,6,4,6,6

Therefore, nC=18

localid="1662212281500" PC=FavorablenumberofoutcomesTotalnumberofoutcomes=nCnS=1836=12

Hence, the probability of getting two numbers whose sum is an even number is 12.

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Most popular questions from this chapter

Study of why EMS workers leave the job. An investigation into why emergency medical service (EMS) workers leave the profession was published in the Journal of Allied Health (Fall 2011). The researchers surveyed a sample of 244 former EMS workers, of which 127 were fully compensated while on the job, 45 were partially compensated, and 72 had no compensated volunteer positions. EMS workers who left because of retirement were 7 for fully compensated workers, 11 for partially compensated workers, and 10 for no compensated volunteers. One of the 244 former EMS workers is selected at random.

a. Find the probability that the former EMS worker was fully compensated while on the job.

b. Find the probability that the former EMS worker was fully compensated while on the job and left due to retirement.

c. Find the probability that the former EMS worker was not fully compensated while on the job.

d. Find the probability that the former EMS worker was either fully compensated while on the job or left due to retirement.

A sample space contains six sample points and events A, B, and C as shown in the Venn diagram. The probabilities of the sample points are

P (1) = .20, P (2) = .05, P (3) = .30, P (4) = .10,P (5) = .10, P (6) = .25.

a. Which pairs of events, if any, are mutually exclusive? Why?

b. Which pairs of events, if any, are independent? Why?

c. FindP (A∪B) by adding the probability of the sample points and then using the additive rule. Verify that the answers agree. Repeat forP (A∪C)

Management system failures. Refer to the Process Safety Progress (December 2004) study of 83 industrial accidents caused by management system failures, Exercise 2.150(p. 142). A summary of the root causes of these 83 incidents is reproduced in the following table. One of the 83 incidents is randomly selected and the root cause is determined.

Management system cause category

Number of incidents

Engineering and design

27

Procedures and practices

24

Management and oversight

22

Training and communication

10

Total

83

a. List the sample points for this problem and assign reasonable probabilities to them.

b. Find and interpret the probability that an industrial accident is caused by faulty engineering and design.

c. Find and interpret the probability that an industrial accident is caused by something other than faulty procedures and practices.

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

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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