Mammograms are used to detect breast cancer. Suppose a mammogram is known to be 83% accurate, which means P(positive mammogram/cancer) = 0.83. Suppose in the United States, 35 million women are tested for breast cancer with mammograms and, of these, 310,000 have breast cancer (regardless of the results of the mammogram). Complete parts (a) through (c) below. (a) Suppose the probability of receiving a positive mammogram given cancer is not present is 0.06. This is a false positive. Express this result as a conditional probability. Choose the correct choice below. O A. P(positive mammogram cancer) = 0.06 O B. P(no cancer positive mammogram) = 0.06 O C. P(cancer positive mammogram) = 0.06 D. P(positive mammogram no cancer) = 0.06
Mammograms are used to detect breast cancer. Suppose a mammogram is known to be 83% accurate, which means P(positive mammogram/cancer) = 0.83. Suppose in the United States, 35 million women are tested for breast cancer with mammograms and, of these, 310,000 have breast cancer (regardless of the results of the mammogram). Complete parts (a) through (c) below. (a) Suppose the probability of receiving a positive mammogram given cancer is not present is 0.06. This is a false positive. Express this result as a conditional probability. Choose the correct choice below. O A. P(positive mammogram cancer) = 0.06 O B. P(no cancer positive mammogram) = 0.06 O C. P(cancer positive mammogram) = 0.06 D. P(positive mammogram no cancer) = 0.06
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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![Mammograms are used to detect breast cancer. Suppose a mammogram is known to be 83% accurate, which means P(positive mammogram/cancer) = 0.83.
Suppose in the United States, 35 million women are tested for breast cancer with mammograms and, of these, 310,000 have breast cancer (regardless of the
results of the mammogram). Complete parts (a) through (c) below.
(a) Suppose the probability of receiving a positive mammogram given cancer is not present is 0.06. This is a false positive. Express this result as a conditional
probability. Choose the correct choice below.
A. P(positive mammogram cancer) = 0.06
B. P(no cancer positive mammogram) = 0.06
C. P(cancer positive mammogram) = 0.06
D. P(positive mammogram no cancer) = 0.06](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F793b6aff-f148-4523-8250-7b38a941d7e6%2Fbfdcf69f-3014-481d-bc26-4a15f570d3f3%2Fs6oh02r_processed.png&w=3840&q=75)
Transcribed Image Text:Mammograms are used to detect breast cancer. Suppose a mammogram is known to be 83% accurate, which means P(positive mammogram/cancer) = 0.83.
Suppose in the United States, 35 million women are tested for breast cancer with mammograms and, of these, 310,000 have breast cancer (regardless of the
results of the mammogram). Complete parts (a) through (c) below.
(a) Suppose the probability of receiving a positive mammogram given cancer is not present is 0.06. This is a false positive. Express this result as a conditional
probability. Choose the correct choice below.
A. P(positive mammogram cancer) = 0.06
B. P(no cancer positive mammogram) = 0.06
C. P(cancer positive mammogram) = 0.06
D. P(positive mammogram no cancer) = 0.06
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