The table to the right is based on the assumption that 1% of breast tumors are malignant. It also assumes that mammogram screening is 90% accurate. Complete parts (a) through (c) below. ... Positive Mammogram Negative Mammogram Total (Type an integer or decimal rounded to the nearest tenth as needed.) b. What is the chance of a positive mammogram, given that the patient has cancer? (Type an integer or decimal rounded to the nearest hundredth as needed.) Tumor is Tumor is Malignant Benign 90 1206 10 a. Suppose a patient has a positive mammogram. What is the chance that she really has cancer? 100 8694 9900 (Type an integer or decimal rounded to the nearest tenth as needed.) c. Suppose a patient has a negative mammogram. What is the chance that she actually does have cancer? Total 1296 8704 10,000
The table to the right is based on the assumption that 1% of breast tumors are malignant. It also assumes that mammogram screening is 90% accurate. Complete parts (a) through (c) below. ... Positive Mammogram Negative Mammogram Total (Type an integer or decimal rounded to the nearest tenth as needed.) b. What is the chance of a positive mammogram, given that the patient has cancer? (Type an integer or decimal rounded to the nearest hundredth as needed.) Tumor is Tumor is Malignant Benign 90 1206 10 a. Suppose a patient has a positive mammogram. What is the chance that she really has cancer? 100 8694 9900 (Type an integer or decimal rounded to the nearest tenth as needed.) c. Suppose a patient has a negative mammogram. What is the chance that she actually does have cancer? Total 1296 8704 10,000
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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
Transcribed Image Text:The table to the right is based on the assumption that 1% of breast
tumors are malignant. It also assumes that mammogram
screening is 90% accurate. Complete parts (a) through (c) below.
Positive
Mammogram
Negative
Mammogram
Total
%
(Type an integer or decimal rounded to the nearest tenth as needed.)
b. What is the chance of a positive mammogram, given that the patient has cancer?
%
(Type an integer or decimal rounded to the nearest hundredth as needed.)
Tumor is Tumor is
Malignant Benign
90
1206
a. Suppose a patient has a positive mammogram. What is the chance that she really has cancer?
10
100
8694
9900
%
(Type an integer or decimal rounded to the nearest tenth as needed.)
c. Suppose a patient has a negative mammogram. What is the chance that she actually does have cancer?
Total
1296
8704
10,000
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