Al b. In a town with 10.000 populations, they got a call to test a certain disease that has an incidence rate of 4%. If the false negative rate is 10% and the false positive rate is 1%, compute the probability that a person who tests positive actually has the disease.
Al b. In a town with 10.000 populations, they got a call to test a certain disease that has an incidence rate of 4%. If the false negative rate is 10% and the false positive rate is 1%, compute the probability that a person who tests positive actually has the disease.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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![ALD In a town with 10,000populations, they got a call to test a centain disease
that has an incidence rate of 4%. If the false negative rate is 10% and the false
positive rate is 1%, compute the probability that a person who tests positive
actually has the disease.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc5cb920d-8eea-430f-8297-1df2cfcef2bd%2F45ba0fc3-57c9-438b-93c3-a99ea4330214%2Fvd3q9hv_processed.jpeg&w=3840&q=75)
Transcribed Image Text:ALD In a town with 10,000populations, they got a call to test a centain disease
that has an incidence rate of 4%. If the false negative rate is 10% and the false
positive rate is 1%, compute the probability that a person who tests positive
actually has the disease.
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