What is meant by a test result that is a false positive?
a. You have the disease but the test results were negative.
b. You don't have the disease but the test results were positive.
c. You test positive for a different disease than the one they thought you had.
d. None of the above.
Question 2
Which probability is larger for a randomly selected woman from the general population: The probability of having breast cancer given that the woman has a positive mammogram, or the probability of a positive mammogram given that the woman has breast cancer?
a. The probability of having breast cancer given that the woman has a positive mammogram.
b. The probability of a positive mammogram given that the woman has breast cancer.
c. The probabilities are the same.
d. Not enough information to tell.