A certain disease has an incidence rate of 0.5%. If the false negative rate is 4% and the false positive rate is 2%, compute the probability that a person who tests positive actually has the disease.
start by drawing probability tree
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If the false negative rate is 4% that means, eventhough disease is present, the test shows NEGATIVE falsely
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false positive rate is 2% wat does that mean ?
"false positive" means, the disease is not there, but the test shows POSITIVE
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see if the probability tree makes sense
you need to find : P(diseased | positive)
How would I compute P(diseased | positivie)?
*positive
heard of bayees theorem ?
P(diseased | positive) = P(diseased AND positive) / P(positive)
find both of them, and plugin
Okay thank you!
np :) wat do u get ?
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