Suppose that a screening test diagnoses 90% of sick people positive and 90% of healthy people negative. Assume that 15% of those screened are sick. If a screened person is chosen at random, then the probability of having a negative diagnosis is:

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Suppose that a screening test
diagnoses 90% of sick people
positive and 90% of healthy people
negative. Assume that 15% of those
screened are sick. If a screened
person is chosen at random, then
the probability of having a negative
diagnosis is:
O a. 0.981
O b. 0.109
Oc. 0.0192
O d. 0.78
O e. 0.22
Transcribed Image Text:Suppose that a screening test diagnoses 90% of sick people positive and 90% of healthy people negative. Assume that 15% of those screened are sick. If a screened person is chosen at random, then the probability of having a negative diagnosis is: O a. 0.981 O b. 0.109 Oc. 0.0192 O d. 0.78 O e. 0.22
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