- #1
DannyCov
- 11
- 0
Hi everone,
Really stuck on this one, if anyone has any suggestions I would be more than greatful!
Problem:
A HIV test detects at 90% accuracy
It falsly detects people as positive without HIV at 2%
and it is estimated that 50% of the tested patients have HIV
I need to work out the probability that a person does not have HIV and the test is negative?
... but first I am still confused to how to separate all the conditions, my teacher suggested using contingency tables but the ones I draw up don't make sense to me
Can anyone help?
Really stuck on this one, if anyone has any suggestions I would be more than greatful!
Problem:
A HIV test detects at 90% accuracy
It falsly detects people as positive without HIV at 2%
and it is estimated that 50% of the tested patients have HIV
I need to work out the probability that a person does not have HIV and the test is negative?
... but first I am still confused to how to separate all the conditions, my teacher suggested using contingency tables but the ones I draw up don't make sense to me
Can anyone help?