A cancer test is 97% accurate in cancer patients. But in a person who ☆ does not have cancer, it gives 93% correct results. Since the proportion of cancer patients in the community is known to be 1/3000 (one in three thousand), calculate the probability that a person will be left without treatment or be treated unnecessarily because of this test result. Help: Choose your symbols accordingly. Wrong results mean good to the patient, providing means patient.
A cancer test is 97% accurate in cancer patients. But in a person who ☆ does not have cancer, it gives 93% correct results. Since the proportion of cancer patients in the community is known to be 1/3000 (one in three thousand), calculate the probability that a person will be left without treatment or be treated unnecessarily because of this test result. Help: Choose your symbols accordingly. Wrong results mean good to the patient, providing means patient.
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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![A cancer test is 97% accurate in cancer patients. But in a person who
does not have cancer, it gives 93% correct results. Since the
proportion of cancer patients in the community is known to be 1/3000
(one in three thousand), calculate the probability that a person will be
left without treatment or be treated unnecessarily because of this test
result. Help: Choose your symbols accordingly. Wrong results mean
good to the patient, providing means patient.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff9d8a8cf-4080-435c-b374-be5ec0544522%2F867f85d8-aad9-4901-a12d-c4ce063b7b7f%2F6ytq1qa_processed.png&w=3840&q=75)
Transcribed Image Text:A cancer test is 97% accurate in cancer patients. But in a person who
does not have cancer, it gives 93% correct results. Since the
proportion of cancer patients in the community is known to be 1/3000
(one in three thousand), calculate the probability that a person will be
left without treatment or be treated unnecessarily because of this test
result. Help: Choose your symbols accordingly. Wrong results mean
good to the patient, providing means patient.
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