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

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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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

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