2) Reliability of Testing. A certain virus infects one in every 200 people. A test used to detect the virus in a person is positive 80% of the time if the person has the virus and 5% of the time if the person does not have the virus. (This 5% result is called a false positive.) Let A be the event "the person is infected" and B be the event "the person tests positive." a. Using Bayes' Theorem, if a person tests positive, determine the probability that the person is infected. b. Using Bayes' Theorem, if a person tests negative, determine the probability that the person is not infected. %3D

2) Reliability of Testing. A certain virus infects one in every 200 people. A test used to detect the virus in a person is positive 80% of the time if the person has the virus and 5% of the time if the person does not have the virus. (This 5% result is called a false positive.) Let A be the event "the person is infected" and B be the event "the person tests positive." a. Using Bayes' Theorem, if a person tests positive, determine the probability that the person is infected. b. Using Bayes' Theorem, if a person tests negative, determine the probability that the person is not infected. %3D

Algebra and Trigonometry (MindTap Course List)

4th Edition

ISBN:9781305071742

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter14: Counting And Probability

Section14.2: Probability

Problem 3E: The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the...

See similar textbooks