Can someone please explain "reverse conditions" when discussing conditional probability?
in probability we are sometimes given P( A | B) , and asked to determine P (B | A )
P ( A | B ) = prob. of A given B P( B | A ) = prob. of B given A
So if you were given a simple question that asked you to find P(B|A) given P(A|B), could you just switch their roles to find the probability?
Could you maybe give an example of how a situation might be phrased that would require the use of reverse conditions?
you need more information
the classic example is with detection of a disease , using a test
i found this while googling A disease is known to be present in 2% of a population. A test is developed to help determine whether or not someone has the disease. Given that a person has the disease, the test is positive with probability 0.95 Given that a person does not have the disease, the test is positive with probability 0.03 A person is selected at random from the population and tested for this disease. Find the probability that the test is positive. A doctor randomly selects a person from the population and tests him for the disease. Given that the test is positive, find the probability that he does not have the disease.
first thing i usually do is label events. Let S = event person has disease F = event person does not have disease + = event person tests positive - = event person does not test positive
this is a pretty good explanation here http://www.algebra.com/algebra/homework/Probability-and-statistics/THEO-20091113.lesson
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