In Exercises 17–20, refer to the accompanying table showing results from a Chembio test for hepatitis C among HIV-infected patients (based on data from a variety of sources).

Positive Test Result

Negative Test Result

Hepatitis C

335

10

No Hepatitis C

2

1153

False Positive Find the probability of selecting a subject with a positive test result, given that the subject does not have hepatitis C. Why is this case problematic for test subjects?

Short Answer

Expert verified

The probability of selecting a subject with a positive test result, given that the subject does not have Hepatitis C, is equal to 0.00173.

Obtaining a positive result even though the subject does not have Hepatitis C will create unnecessary stress for him/her. He/she may also need to undergo further testing.

Step by step solution

01

Given information

The number of subjects who have Hepatitis C and who do not is tabulated.

The numbers are further divided into positive test results and negative test results.

02

Conditional probability

The probability of theoccurrence of an event subject to a condition that another event has previously occurred is called theconditional probability of the event.

The following is the expression to compute the conditional probability of B, given A.

PB|A=PAandBPA

03

Compute the probability of the event

Let A be the event of selecting a subject who has Hepatitis C.

Let B be the event of selecting a subject who does not have Hepatitis C.

Let C be the event of selecting a subject who has a positive test result.

Let D be the event of selecting a subject who has a negative test result.

The following table consists of the total frequency under each category:

Positive Test Result

Negative Test Result

Totals

Hepatitis C

335

10

345

No Hepatitis C

2

1153

1155

Totals

337

1163

1500

The total number of subjects is 1500.

The number of subjects who do not have Hepatitis C is 1155.

The probability of selecting a subject who does not have Hepatitis C is given by:

PB=11551500

The number of subjects who do not have Hepatitis C and tested positive is 2.

The probability of selecting a subject who tested positive and does not have Hepatitis C is given by:

PBandC=21500

The probability of selecting a subject who tested positive, given that he/she does not have Hepatitis C, is calculated as follows:

PC|B=PBandCPB=2150011551500=21155=0.00173

Therefore, the probability of selecting a subject who tested positive, given that he/she did not have Hepatitis C, is equal to 0.00173.

04

Identifying the problematic case for subjects

The event of testing positive, given that the subject does not have Hepatitis C, will bother the subject by worrying him/her gravely.

The subject might need to undergo further testing, which can lead to unnecessary expenses.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

In Exercises 9–20, use the data in the following table, which lists drive-thru order accuracy at popular fast food chains (data from a QSR Drive-Thru Study). Assume that orders are randomly selected from those included in the table.

McDonald’s

Burger King

Wendy’s

Taco Bell

Order Accurate

329

264

249

145

OrderNotAccurate

33

54

31

13

Fast Food Drive-Thru Accuracy If three different orders are selected, find the probability that they are all from Wendy’s

In Exercises 25–32, find the probability and answer the questions. YSORT Gender Selection MicroSort’s YSORT gender selection technique is designed to increase the likelihood that a baby will be a boy. At one point before clinical trials of the YSORT gender selection technique were discontinued, 291 births consisted of 239 baby boys and 52 baby girls (based on data from the Genetics & IVF Institute). Based on these results, what is the probability of a boy born to a couple using MicroSort’s YSORT method? Does it appear that the technique is effective in increasing the likelihood that a baby will be a boy?

Penicillin “Who discovered penicillin: Sean Penn, William Penn, Penn Jillette, Alexander Fleming, or Louis Pasteur?” If you make a random guess for the answer to that question, what is the probability that your answer is the correct answer of Alexander Fleming?

Denomination Effect. In Exercises 13–16, use the data in the following table. In an experiment to study the effects of using four quarters or a \(1 bill, college students were given either four quarters or a \)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).

Purchased Gum

Kept the Money

Students Given Four Quarters

27

46

Students Given a $1 bill

12

34

Denomination Effect

a. Find the probability of randomly selecting a student who spent the money, given that the student was given four quarters.

b. Find the probability of randomly selecting a student who kept the money, given that the student was given four quarters.

c. What do the preceding results suggest?

At Least One. In Exercises 5–12, find the probability.

Probability of a Girl Assuming that boys and girls are equally likely, find the probability of a couple having a boy when their third child is born, given that the first two children were both girls.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free