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The question says that a cancer diagnostic test is 90 % accurate on those who have cancer and 95 % on those who don't.
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It is estimated that 0 .005 of the population actually does have cancer.
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Compute the probability that the cancer diagnostic test is accurate.
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A and b, compute the probability that a particular individual has cancer given that test indicate he or c has cancer.
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Therefore, it is based on the concept of the bias theorem.
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The researcher basically used the bios theorem to find the probability of any event that is condensely associated with other possibilities.
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For example, if we compute the likelihood of age group mortality rate 60 plus would be very high compared to age group 20 to 50.
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Therefore, age is a key factor to be higher mortality rate.
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Now moving towards the question.
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Here we define the event as we define event as as c denotes the event that a person has cancer and t denotes event that the test result positive.
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Now from the given data, p t by c is equal to 0 .90 and p t...