BIT Assignment - 3

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College of Charleston *

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Statistics

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Apr 3, 2024

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BIT ASSIGNMENT - 3 Problem 04-12 (Conditional Probability) Question 1 of 5 » Hint(s) Check My Work According to a 2018 article in Esquire magazine, approximately 70% of males over age 70 will develop cancerous cells in their prostate. Prostate cancer is second only to skin cancer as the most common form of cancer for males in the United States. One of the most common tests for the detection of prostate cancer is the prostate-specific antigen (PSA) test. However, this test is known to have a high false-positive rate (tests that come back positive for cancer when no cancer is present). Suppose there is a 0.02 probability that a male patient has prostate cancer before testing. The probability of a false-positive test is 0.75, and the probability of a false-negative (no indication of cancer when cancer is actually present) is 0.20. Let C = event male patient has prostate cancer + = positive PSA test for prostate cancer = negative PSA test for prostate cancer (@) What is the probability that the male patient has prostate cancer if the PSA test comes back positive? Round your answer to four decimal places. 0.0213 @ (b) What is the probability that the male patient has prostate cancer if the PSA test comes back negative? Round your answer to four decimal places. 0.0161 @ (c) For older men, the prior probability of having cancer increases. Suppose that the prior probability of the male patient is 0.3 rather than 0.02. What is the probability that the male patient has prostate cancer if the PSA test comes back positive? Round your answer to four decimal places. 0.3137 @ What is the probability that the male patient has prostate cancer if the PSA test comes back negative? Round your answer to four decimal places. 0.2553 @ (d) What can you infer about the PSA test from the results of parts (a), (b), and (c)? The difference between P(C|+) and P(C|-) in parts (a) and (b) is[ lower v ) than the difference between P(C|+) and P(C|-) in part (c). Problem 04-15 Algo (Discrete Probability Distributions) 4 Question 2 of 5 » Hint(s) Check My Work The percent frequency distributions of job satisfaction scores for a sample of information systems (IS) senior executives and middle managers are as follows. The scores range from a low of 1 (very dissatisfied) to a high of 5 (very satisfied). Job Satisfaction IS Senior IS Middle Score Executives (%) Managers (%) 1 5 4 2 9 10 3 40 19 - 42 46 5 4 21 If required, round your answers to two decimal places. (a) Develop a probability distribution for the job satisfaction score of a randomly selected senior executive. x f(x) 1 0.0s & 2 0.00 & 3 0.20 & 4 0.02 & > 0.0a & 1.00 &
(b) Develop a probability distribution for the job satisfaction score of a randomly selected middle manager. x f(x) Ceereeee@ 1.00 (c) What is the probability that a randomly selected senior executive will report a job satisfaction score of 4 or 5? 0.46 @ (d) What is the probability that a randomly selected middle manager is very satisfied? 0.21 @ (e) Compare the overall job satisfaction of senior executives and middle managers. d v @ than middle managers. Senior executives appear to be | less sat Problem 04-22 Algo (Discrete Probability Distributions) 4 Question3 of 5 » Hint(s) Check My Work Consider a Poisson distribution with 1 = 6. If needed, round your answer to four decimal digits. (@) Choose the appropriate Poisson probability mass function. - z 6 e z 6 O g =T @ -T2 i) 6%’ (iv) _ afet f@) = —— f@) == | option (i) 7;\@ (b) Compute £(2). 0.0446 @ (c) Compute f(1). 0.0149 @ (d) Compute P(x = 2). 0.9826 &
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