Suppose 0.1% of the population have a new disease. A test is developed for the disease. 98% of people without the disease will receive a negative test result. 99.5% of people with the disease will receive a positive test result. A random person who was tested for the disease is chosen. What is the probability that the chosen person does not have the disease and got a negative test result?​ N = negative test results ​ H = does not have the disease​ P(N and H) = P(N|H) x P(H) or 2. P(H|N) x P(N) [use formula 1]​ = (0.98) P

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Suppose 0.1% of the population have a new disease. A test is developed for the disease. 98% of people without the disease will receive a negative test result. 99.5% of people with the disease will receive a positive test result. A random person who was tested for the disease is chosen. What is the probability that the chosen person does not have the disease and got a negative test result?​

N = negative test results ​

H = does not have the disease​

  1. P(N and H) = P(N|H) x P(H) or 2. P(H|N) x P(N) [use formula 1]​

= (0.98) P

Expert Solution
Step 1: Determine the given information

For the defined events, "N: negative test results" and "H: does not have the disease", the following events are interpreted:

Nc: positive test results

Hc: have the disease

The given probabilities are:

The probability that a selected person has the disease, P(Hc)=0.1%=0.001.

The probability that a selected person received a negative test result, provided that the person does not have the disease, i.e., P(N|H)=98%=0.98.

The probability that a selected person received a positive test result, given that the person has the disease, i.e.,

P(Nc|Hc)=95%=0.95.



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