3. A particular test correctly identifies those with a certain serious disease 94% of the time and correctly diagnoses those without the disease 98% of the time. A friend has just informed you that he has received a positive result and asks for your advice. Before attempting to address your friend’s concerns, you research the illness and discover that 4% of men have this disease. What is your friend’s probability of having the disease given that he has a positive test result?
USING BAYES THEOREM. I'm not sure what to plus in for the values !

Question

3.	A particular test correctly identifies those with a certain serious disease 94% of the time and correctly diagnoses those without the disease 98% of the time.  A friend has just informed you that he has received a positive result and asks for your advice.  Before attempting to address your friend’s concerns, you research the illness and discover that 4% of men have this disease.  What is your friend’s probability of having the disease given that he has a positive test result?
USING BAYES THEOREM. I'm not sure what to plus in for the values !

anonymous · Answer

Bayes theorem is: P(Disease|Screen Positive = P(Screen Positive|Disease)P(Disease)/P(Screen positive)

imqwerty · Answer

i don't know the answer but its given here- https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0CB0QFjAAahUKEwjc9NHCptXIAhVSJI4KHW4OC_o&url=http%3A%2F%2Fspot.pcc.edu%2F~hmesa%2Fmath243%2Fchapter%25204%2FSection_4_5%2Fbayes_lec_answer.doc&usg=AFQjCNFjcX9-SYBq8yNXzhm2Lv81tkB8lA

anonymous · Answer

OMG THANK YOU

imqwerty · Answer

Lol  np