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OpenStudy (anonymous):

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.

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 ?

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)?

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!

ganeshie8 (ganeshie8):

np :) wat do u get ?

ganeshie8 (ganeshie8):

|dw:1396326932372:dw|

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