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.
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ganeshie8 (ganeshie8):
start by drawing probability tree
ganeshie8 (ganeshie8):
|dw:1396326166328:dw|
ganeshie8 (ganeshie8):
If the false negative rate is 4%
that means, eventhough disease is present, the test shows NEGATIVE falsely
ganeshie8 (ganeshie8):
|dw:1396326296936:dw|
ganeshie8 (ganeshie8):
false positive rate is 2%
wat does that mean ?
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ganeshie8 (ganeshie8):
"false positive" means, the disease is not there, but the test shows POSITIVE
ganeshie8 (ganeshie8):
|dw:1396326415208:dw|
ganeshie8 (ganeshie8):
see if the probability tree makes sense
ganeshie8 (ganeshie8):
you need to find :
P(diseased | positive)
OpenStudy (anonymous):
How would I compute P(diseased | positivie)?
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OpenStudy (anonymous):
*positive
ganeshie8 (ganeshie8):
heard of bayees theorem ?
ganeshie8 (ganeshie8):
P(diseased | positive) = P(diseased AND positive) / P(positive)
ganeshie8 (ganeshie8):
find both of them, and plugin
OpenStudy (anonymous):
Okay thank you!
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