A test to determine whether a certain antibody is present is 99.2% effective. This means that the test will accurately come back negative if the antibody is not present (in the test subject) 99.2% of...


A test to determine whether a certain antibody is present is 99.2% effective. This means that the test will accurately come back negative if the antibody is not present (in the test subject) 99.2% of the time. The probability of a test coming back<br>positive when the antibody is not present (a false positive) is 0.008. Suppose the test is given to seven randomly selected people who do not have the antibody.<br>(a) What is the probability that the test comes back negative for all seven people?<br>(b) What is the probability that the test comes back positive for at least one of the seven people?<br>.--..<br>(a) P(all 7 tests are negative) =<br>(Round to four decimal places as needed.)<br>(b) P(at least one positive) =<br>(Round to four decimal places as needed.)<br>

Extracted text: A test to determine whether a certain antibody is present is 99.2% effective. This means that the test will accurately come back negative if the antibody is not present (in the test subject) 99.2% of the time. The probability of a test coming back positive when the antibody is not present (a false positive) is 0.008. Suppose the test is given to seven randomly selected people who do not have the antibody. (a) What is the probability that the test comes back negative for all seven people? (b) What is the probability that the test comes back positive for at least one of the seven people? .--.. (a) P(all 7 tests are negative) = (Round to four decimal places as needed.) (b) P(at least one positive) = (Round to four decimal places as needed.)

Jun 03, 2022
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