Suppose we are studying a test for a rare disease which is present in .5% of people (probability .005). If a person has the disease, the test will detect it 90% of the time (true positive rate). If a person does not have the disease, the test will detect it 95% of the time (true negative rate). (a) What is the probability that a person with a positive test result has the disease? (b) How high does the true negative rate have to be before the probability in part (a) is ? (c) Repeat parts (a) and (b), but assume the disease is much more common, and is present in 10% of people.
Suppose we are studying a test for a rare disease which is present in .5% of people (probability .005). If a person has the disease, the test will detect it 90% of the time (true positive rate). If a person does not have the disease, the test will detect it 95% of the time (true negative rate). (a) What is the probability that a person with a positive test result has the disease? (b) How high does the true negative rate have to be before the probability in part (a) is ? (c) Repeat parts (a) and (b), but assume the disease is much more common, and is present in 10% of people.
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section: Chapter Questions
Problem 14T: An unbalanced coin is weighted so that the probability of heads is 0.55. The coin is tossed ten...
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