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In Exercises 21–24, refer to the sample data in Table 4-1, which is included with the Chapter Problem. Assume that 1 of the 555 subjects included in Table 4-1 is randomly selected.


Positive Test Result

(Test shows drug use)

Negative Test Result

(Test shows no drug use)

Subject Uses Drugs

45 (True Positive)

5 (False Negative)

Subject Does Not Use drugs

25 (False Positive)

480 (True Negative)

Drug Testing Job Applicants Find the probability of selecting someone who does not use drugs. Does the result appear to be reasonable as an estimate of the proportion of the adult population that does not use drugs?

Short Answer

Expert verified

The probability of selecting a person who does not use drugs is 0.90990.

Yes, the value appears to be reasonable for estimating the proportion of adults who do not use drugs.

Step by step solution

01

Given information

A sample of 555 job-seeking candidates are drug tested, and their results are categorized under four headings.

02

Define probability

Probability measures the possibility of an event.

Mathematically, it is represented as

PA=NumberofoutcomesresultinginATotalnumberofoutcomes

03

Calculate the probability 

Let A be the event that the selected person does not use drugs.

Here,the number of people who do not use drugs is the sum of the number of people who tested true negative and false positive.

The total number of persons who got tested is 555.

The probability of event A is

PA=NumberofpersonswhodonotusedrugsTotalnumberofpersons=25+480555=505555=0.910

Therefore, the probability of selecting a person who does not use drugs is 0.910.

04

Discuss if the probability is a reasonable estimate

The computed probability value appears to be a reasonable estimate of the actual proportion of adults who do not use drugs.

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Most popular questions from this chapter

Denomination Effect. In Exercises 13–16, use the data in the following table. In an experiment to study the effects of using a \(1 bill or a \)1 bill, college students were given either a \(1 bill or a \)1 bill and they could either keep the money or spend it on gum. The results are summarized in the table (based on data from “The Denomination Effect,” by Priya Raghubir and Joydeep Srivastava, Journal of Consumer Research, Vol. 36).

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Kept the Money

Students Given A \(1 bill

27

46

Students Given a \)1 bill

12

34

Denomination Effect

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c. What do the preceding results suggest?

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In Exercises 21–24, refer to the sample data in Table 4-1, which is included with the Chapter Problem. Assume that 1 of the 555 subjects included in Table 4-1 is randomly selected.


Positive Test Result

(Test shows drug use)

Negative Test Result

(Test shows no drug use)

Subject Uses Drugs

45 (True Positive)

5 (False Negative)

Subject Does Not Use drugs

25 (False Positive)

480 (True Negative)

Drug Testing Job Applicants Find the probability of selecting someone who got a result that is a false positive. Who would suffer from a false positive result? Why?

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