A test for ovarian cancer has a 4 percent rate of false positives and a 0 percent rate of false negatives. On average, 2 in every 1,000 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? Hint: Make a contingency table for a hypothetical sample of 100,000 women. (Round your answer to 5 decimal places.)
A test for ovarian cancer has a 4 percent rate of false positives and a 0 percent rate of false negatives. On average, 2 in every 1,000 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? Hint: Make a contingency table for a hypothetical sample of 100,000 women. (Round your answer to 5 decimal places.)
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....
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A test for ovarian cancer has a 4 percent rate of false positives and a 0 percent rate of false negatives. On average, 2 in every 1,000 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? Hint: Make a contingency table for a hypothetical sample of 100,000 women. (Round your answer to 5 decimal places.)
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thats what i got aswell when i worked it but its saying that the answer is incorrect
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