Pregnancy Test: A pregnancy testing device is used by 1000 different women from a population of women who think they mig
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Pregnancy Test: A pregnancy testing device is used by 1000 different women from a population of women who think they mig
statement is true about the probability of getting a false positive? The probability of a false positive is not affected by the result of the test. The probability of a false positive decreases after a positive test result is obtained. The probability of a false positive increases after a positive test result is obtained. *Significant Digits: Here are some probabilities expressed to 3 significant digits. You start counting digits from left to right starting with the first non-zero digit. 0.123 0.0123 0.0120 0.00123 0.102 0.350 0.300
Pregnancy Test: A pregnancy testing device is used by 1000 different women from a population of women who think they might be pregnant. The results are depicted in the contingency table below. Here, a positive test result means pregnancy is detected. Was she actually pregnant? Yes No 479 12 6 503 Positive Test Result Negative Test Result (a) Using the relative frequency approximation of probabilities, what is the probability that the device is correct? Round your answer to 3 significant digits.* P(result is correct) = 4,9 (b) Suppose you are a woman about to take the test. Prior to taking the test, what is the probability of a false-positive? Round your answer to 3 significant digits.* P(false positive) = 49) (c) Suppose you are a woman who takes the test and it comes back positive. Now, what is the probability that the test result is wrong? Round your answer to 3 significant digits.* P(not pregnant positive test result) = 49) (d) What