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QUESTION 11 A pregnancy testing device is used by 1000 different women from a population of women who think they might be pregnant. The results are depicted in the contingency table below. Here, a positive test result means pregnancy is detected. Positive Test Result Negative Test Result Was she actually pregnant? Yes 482 6 No 11 501 (a) Using the relative frequency approximation of probabilities, what is the probability that the device is correct? Round your answer to 3 digits. P(result is correct) = (b) Suppose you are a woman about to take the test. Prior to taking the test, what is the probability of a false-positive? Round your answer to 3 digits. P(false positive) = (c) Suppose you are a woman who takes the test and it comes back positive. Now, what is the probability that the test result is wrong? Round your answer to 3 digits. P(not pregnant | positive test result) = (d) What statement is true about the probability of getting a false positive? (choose a, b, or c) a. The probability of a false positive decreases after a positive test result is obtained. The probability of a false positive is not affected by the result of the test. c. The probability of a false positive increases after a positive test result is obtained.

QUESTION 11 A pregnancy testing device is used by 1000 different women from a population of women who think they might be pregnant. The results are depicted in the contingency table below. Here, a positive test result means pregnancy is detected. Positive Test Result Negative Test Result Was she actually pregnant? Yes 482 6 No 11 501 (a) Using the relative frequency approximation of probabilities, what is the probability that the device is correct? Round your answer to 3 digits. P(result is correct) = (b) Suppose you are a woman about to take the test. Prior to taking the test, what is the probability of a false-positive? Round your answer to 3 digits. P(false positive) = (c) Suppose you are a woman who takes the test and it comes back positive. Now, what is the probability that the test result is wrong? Round your answer to 3 digits. P(not pregnant | positive test result) = (d) What statement is true about the probability of getting a false positive? (choose a, b, or c) a. The probability of a false positive decreases after a positive test result is obtained. The probability of a false positive is not affected by the result of the test. c. The probability of a false positive increases after a positive test result is obtained.

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 33E: Sick leave probability that a given worker at Dyno Nutrition Will call in sick on a Monday is 004....
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please answer question 11 a,b,c,d

QUESTION 11 A pregnancy testing device is used by 1000 different women from a population of women who think they might be pregnant. The results are depicted in the contingency table below. Here, a positive test result means pregnancy is detected. Positive Test Result Negative Test Result Was she actually pregnant? Yes 482 6 No 11 501 (a) Using the relative frequency approximation of probabilities, what is the probability that the device is correct? Round your answer to 3 digits. P(result is correct) = (b) Suppose you are a woman about to take the test. Prior to taking the test, what is the probability of a false-positive? Round your answer to 3 digits. P(false positive) = (c) Suppose you are a woman who takes the test and it comes back positive. Now, what is the probability that the test result is wrong? Round your answer to 3 digits. P(not pregnant | positive test result) = (d) What statement is true about the probability of getting a false positive? (choose a, b, or c) a. The probability of a false positive decreases after a positive test result is obtained. The probability of a false positive is not affected by the result of the test. c. The probability of a false positive increases after a positive test result is obtained.
Transcribed Image Text:QUESTION 11 A pregnancy testing device is used by 1000 different women from a population of women who think they might be pregnant. The results are depicted in the contingency table below. Here, a positive test result means pregnancy is detected. Positive Test Result Negative Test Result Was she actually pregnant? Yes 482 6 No 11 501 (a) Using the relative frequency approximation of probabilities, what is the probability that the device is correct? Round your answer to 3 digits. P(result is correct) = (b) Suppose you are a woman about to take the test. Prior to taking the test, what is the probability of a false-positive? Round your answer to 3 digits. P(false positive) = (c) Suppose you are a woman who takes the test and it comes back positive. Now, what is the probability that the test result is wrong? Round your answer to 3 digits. P(not pregnant | positive test result) = (d) What statement is true about the probability of getting a false positive? (choose a, b, or c) a. The probability of a false positive decreases after a positive test result is obtained. The probability of a false positive is not affected by the result of the test. c. The probability of a false positive increases after a positive test result is obtained.
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