SOLUTION: A test is available to diagnose a disease. If a person has the disease, the probability that the test will produce a positive signal is 0.98. If a person does not have the disease,

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Question 1112713: A test is available to diagnose a disease. If a person has the disease, the probability that the test will produce a positive signal is 0.98. If a person does not have the disease, the probability that the test will produce a positive signal is 0.02. Assume that the proportion of people in the community who have the disease is 0.05
Given that the test is negative, what is the probability that the person does not have the disease?

Answer by KMST(5328) About Me  (Show Source):
You can put this solution on YOUR website!
Out of %2210%2C000%22 people, 0.05%2A%2210%2C000%22=500 have the disease.
Of those, 0.98%2A500 test positive, and start looking for treatment.
The other %281-0.98%29%2A500=0.02%2A500=10 test negative,
and do not think they have the disease, but they do.

Out of the same %2210%2C000%22 people, another %2210%2C000%22-500=%229%2C500%22 people do not have the disease.
However, among them, 0.02%2A%229%2C500%22=190 test positive, and worry unnecessarily.
The remaining %229%2C500%22-190=%229%2C310%22 people without the disease test negative.

Out of the whole %2210%2C000%22 people,
there are 10%2B%229%2C310%22=%229%2C320%22 people who have tested negative.
Out of those who tested negative, the fraction without the disease is
%229%2C310%22%2F%229%2C320%22=abouthighlight%280.9989%29 .
That is the probability that a person who tests negative does not have the disease.