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Ranking razor blades.The corporations in the highly competitive razor blade industry do a tremendous amount of advertising each year. Corporation G gave a supply of three top-name brands, G, S, and W, to a consumer and asked her to use them and rank them in order of preference.

The corporation was, of course, hoping the consumer would prefer its brand and rank it first, thereby giving them some material for a consumer interview advertising campaign. If the consumer did not prefer one blade over any other but was still required to rank the blades, what is the probability that

a.The consumer ranked brand G first?

b.The consumer ranked brand G last?

c.The consumer ranked brand G last and brand W second?

d.The consumer ranked brand W first, brand G second, and brand S third?

Short Answer

Expert verified
  1. The probability of brand G first is 0.3.
  2. The probability of brand G last is 0.3.
  3. The probability of G last and W second is 0.1666.
  4. The probability of W first, G second, and S third is 0.1666.

Step by step solution

01

Important formula

The formula for probability is P=FavourableoutcomesTotaloutcomes

02

(a) The consumer ranked brand G first

The sample events are GSW, GWS, SGW, SWG, WGS, and WSG.

P(BRANDGFIRST)=P(GSW)+P(GWS)=16+16=0.3

So, the probability of brand G first is 0.3.

03

(b) The consumer ranked brand G last 

P(brandGislast)=P(SWG)+P(WSG)=16+16=0.3

Hence, the probability of brand G last is 0.3.

04

(c) The consumer ranked brand G last and brand W second

P(brandGislastandWsecond)=P(SWG)=16=0.166

Accordingly, the probability of G last and W second is 0.1666.

05

(d) The consumer ranked brand W first, brand G second, and brand S third

P(brandWfirst,Gsecond,Slast)=P(WGS)=16=0.166

Therefore, the probability of W first, G second, and S third is 0.1666.

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Most popular questions from this chapter

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.

Confidence of feedback information for improving quality. In the semiconductor manufacturing industry, a key to improved quality is having confidence in the feedback generated by production equipment. A study of the confidence level of feedback information was published in Engineering Applications of Artificial Intelligence(Vol. 26, 2013). At any point in time during the production process, a report can be generated. The report is classified as either “OK” or “not OK.” Let Arepresent the event that an “OK” report is generated in any time period (t).Let Brepresent the event that an “OK” report is generated in the next time period. Consider the following probabilities:

P(A)=0.8,PBA=0.9, andPBAC=0.5.

a. Express the event B|Ain the words of the problem.

b. Express the event B|ACin the words of the problem.

c. FindP(AC).

d. FindP(AB).

e. FindP(ACB).

f. Use the probabilities, parts d and e, to find P(B).

g. Use Bayes’ Rule to find P(A|B), i.e., the probability that an “OK” report was generated in one time period(t), given that an “OK” report is generated in the next time period(t+1).

Blood diamonds.According to Global Research News(March 4, 2014), one-fourth of all rough diamonds producedin the world are blood diamonds. (Any diamond that is mined in a war zone—often by children—to finance a warlord’s activity, an insurgency, or an invading army’s effort is considered a blood diamond.) Also, 90% of the world’s rough diamonds are processed in Surat, India, and, of these diamonds one-third are blood diamonds.

a.Find the probability that a rough diamond is not a blood diamond.

b.Find the probability that a rough diamond is processed in Surat and is a blood diamond.

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.

Who prepares your tax return? As part of a study on income tax compliance (Behavioral Research and Accounting, January 2015), researchers sampled 270 adults at a shopping mall and asked each: “Who usually prepares your tax return?” Their answers (and frequency of responses) are shown in the table (p. 170). Use the information in the table to estimate the probability that a randomly selected adult uses a friend, relative, or professional to prepare his or her income tax return.

Table for Exercise 3.16

Response

Frequency

You

100

Your spouse

16

Equally with spouse

7

Friend or relative

31

Professional help

114

Not required to file

2

TOTAL

270

Source: S. Bhattacharjee, K. Moreno, and D. Salbador, “The Impact of Multiple Tax Returns on Tax Compliance Behavior,” Behavioral Research and Accounting, Vol. 27, No. 1, January 2015 (from Table 1).

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