The table below displays results from experiments with polygraph instruments. Find the positive predictive value for the test. That is, find the probability that the subject lied, given that the test yields a positive result.Did the Subject Actually Lie?No (Did Not Lie)Yes (Lied)Positive test results1641Negative test results3511.....The probability is.(Round to three decimal places as needed.)MacBookDDF8F9000F7F5F6F4escF2F3F1&!2378.1234PWE-RTYQtabJKFGAS69%24

Answered: The table below displays results from…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.4450.445 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Positive test results 1717 4444 Negative test results 3535 1414 The probability that a randomly selected polygraph test subject was not lying is nothing. (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.445 for a negative test result?
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Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 37 12 Subject Is Not a Drug User 19 32 The probability of a false positive test result is nothing. (Round to three decimal places as needed.)
0.028 0.147 0.321 0.332
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The probability you reject the null hypothesis when in fact the null hypothesis is true is called? Select one: O a. the power O b. Type Il error Ос. Туре Гerror O d. significance level
The following table shows the results of a medical test. Positive Test Result Negative Test Result 95.3 4.6 Total 82.6 % 4.6 Has Disease X % 491 24 % 515 Does Not Have Disease 45 Use the preceding data to estimate each of the following. (Express each response as a percentage rounded to one decimal place.) a. If a person has the disease, what is the probability that person tests positive? This is the sensitivity or true positive rate of a test. 214 259 Total b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate. 536 238 774 c. If a person does not have the disease, what is the probability that person tests negative? This is the specificity or true negative rate of a test. d. If a person does not have the disease, what is the probability that person tests positive? This is sometimes called the false positive rate. X %
=null O 0.525 O 0.093 O 0.103 QUESTION 3 Find the indicated probability. The table below describes the exercise habits of a group of people suffering from high blood pressure. If one of the 980 subjects is randomly selected, find the probability that the person selected is female given that they exercise occasionally. No Occasional Regular exercise exercise exercise Total Men 361 87 66 514 Women 334 60 72 466 Total 695 147 138 980 Solution: P= 60/147=0.4082 O 0.408 O 0.061 0.15 O 0.129 QUESTION 4 Find the indicated probability.
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 42 11 Subject Is Not a Drug User 2 29 The probability of a false positive test result is (Round to three decimal places as needed.) Who would suffer from a false positive result? Why? O A. The person tested would suffer because he or she would be suspected of using drugs when in reality he or she does not use drugs. B. The employer would suffer because the person tested would not be suspected of using drugs when in reality he or she does use drugs. C. The person tested would suffer because he or she would not be suspected of using drugs when in reality he or she does use drugs. D. The employer would suffer…
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5. Suppose a marketing research firm would like to examine if the social networking site that a person primarily uses is influenced by his or her age. In a randomly drawn sample, 337 social network users were asked which site they primarily visited. These data are presented in the following table along with each person's age group. Complete parts a. through c. below. Click the icon to view the data table. a. Using a = 0.025, perform a chi-square test to determine if age group and social networking site used are independent of one another. Identify the null and alternative hypotheses for a chi-square test of independence based on the information in the table. Choose the correct answer below. O A. Ho: Age group and social networking site are independent of one another. H1: The social networking site used affects the age group. O B. Ho: Age group and social networking site are independent of one another. H,: Age group and social networking site are not independent of one another. O C. Ho:…

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