A test for ovarian cancer has a 4 percent rate of false positives and a 1 percent rate of false negatives. On average, 1 in every 2,000 American women over age 35 actually has ovarian cancer. If a woman over 35 tests positive, what is the probability that she actually has cancer

The probability that a woman over 35 actually has cancer given that she tests positive is 0.012.

Step-by-step explanation:

The information provided is:

P (+ | X') = 0.04

P (- | X) = 0.01

P (X) = 0.0005

Compute the value of P (+ | X) as follows:

P (+ | X) = 1 - P (- | X)

            = 1 - 0.01

            = 0.99

Compute the value of P (+) as follows:

P (+) = P (+ | X) × P (X) + P (+ | X') × P (X')

Compute the probability that a woman over 35 actually has cancer given that she tests positive as follows:

Thus, the probability that a woman over 35 actually has cancer given that she tests positive is 0.012.

binomial distribution

median= 2

range = 7-0 = 7

how to find median?

no. of term=28

median=(28+1)/2=14.5th term

the 14th and 15th term are 2, therefore the median is (2+2)/2 = 2