A pregnancy testing device is used by 1000 different women from a population of
ID: 3354959 • Letter: A
Question
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.
(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) =
(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) =
(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) =
(d) What statement is true about the probability of getting a false positive?
The probability of a false positive increases after a positive test result is obtained.
The probability of a false positive decreases after a positive test result is obtained.
The probability of a false positive is not affected by the result of the test.
*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
Was she actually pregnant? Yes No Positive Test Result 480 15 Negative Test Result 6 499Explanation / Answer
Ans:
a)P(result is correct)=P(positive/actually pregnent)=P(positive and actually pregnent)/P(actually pregnent)
=0.48/0.486=0.988
b)P(false positive)=P(positive/not pregnent)=P(positive and not pregnent)/P(not pregnent)=0.015/0.514=0.029
c)P(not pregnent/positive)=P(positive and not pregnent)/P(positive)=0.015/0.495=0.030
d)The probability of a false positive is not affected by the result of the test.
Pregnant Yes No Total Positive 480 15 495 Negative 6 499 505 Total 486 514 1000 Joint Prob. Distribution Yes No Total Positive 0.48 0.015 0.495 Negative 0.006 0.499 0.505 Total 0.486 0.514 1Related Questions
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