Suppose there was a cancer diagnostic test was 95% accurate both on those that do and those do not have the disease. If 0.4% of the population have cancer, compute the probability that a tested person has cancer given that his test result indicates.

Complete Question

Suppose there was a cancer diagnostic test was 95% accurate both on those that do and 90% on  those do not have the disease. If 0.4% of the population have cancer, compute the probability that a particular individual has cancer, given that the test indicates he or she has cancer.

The probability is  

Step-by-step explanation:

From the question we are told that

The probability that the test was accurate given that the person has cancer is  

The probability that the test was accurate given that the person  do not have cancer is  

The probability that a person  has  cancer is  

Generally the probability that a person do not have cancer is  

=>    

=>    

Generally the  probability that a particular individual has cancer, given that the test indicates he or she has cancer is according to  Bayes's theorem evaluated as

=>  

=>  

55? i think maybe

step-by-step explanation:

c.35

step-by-step explanation:

8+13=21

21+8=29

29+6=35