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Suppose a free medical test is given for a certain disease. The test is 90% reliable in the following sense: If a person has the disease there is a probability of 0,9 that the test will give a positive response; whereas, if a person does not have the disease, there is a probability of only 0,1 that the test will give a positive response. Data indicate that your chances of having the disease are only 1 in 10000. You decide to undergo the test and a few days later you learn that you had a positive response from the test. What is now the probability that you have the disease?​

User Hiu
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2 Answers

19 votes
19 votes

Answer:

Explanation:


\red{ \rule{0pt}{900000pt}}


\red{ \rule{500pt}{900000pt}}

User Daniel Braun
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12 votes
12 votes
  • P(Person has disease)=0.9
  • P(Person doesn't have the disease)=0.1

Your chances of having the disease:-

  • 1/10000
  • 0.0001

So your current probability:-

  • 0.0001(0.1)
  • 0.00001
User Stormbeta
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