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complete) This Quiz: 16 The table to the right is based on the assumption that 1% of breast tumors are malignant. It also assumes that mammogram screening is 85% accurate. Complete parts (a) through (c) below. Tumor is Tumor is Malignant Benign Total Positive Mammogram Negative Mammogram Total 85 1389 1474 15 8511 8526 100 9900 10,000 a. Suppose a patient has a positive mammogram. What is the chance that she really has cancer? D% (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 tenth as needed.) c. Suppose a patient has a negative mammogram. What is the chance that she actually does have cancer? (Type an integer or decimal rounded to the nearest hundredth as needed.) Enter your answer in each of the answer boxes. javascript:doExercise(14); 7:52 PM 4/30/2020 TOSHIBA II complete) This Quiz: 16 The table to the right is based on the assumption that 1% of breast tumors are malignant. It also assumes that mammogram screening is 85% accurate. Complete parts (a) through (c) below. Tumor is Tumor is Malignant Benign Total Positive Mammogram Negative Mammogram Total 85 1389 1474 15 8511 8526 100 9900 10,000 a. Suppose a patient has a positive mammogram. What is the chance that she really has cancer? D% (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 tenth as needed.) c. Suppose a patient has a negative mammogram. What is the chance that she actually does have cancer? (Type an integer or decimal rounded to the nearest hundredth as needed.) Enter your answer in each of the answer boxes. javascript:doExercise(14); 7:52 PM 4/30/2020 TOSHIBA II
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Computer Architecture A Quantitative Approach
ISBN: 978-8178672663
5th edition
Authors: John L. Hennessy, David A. Patterson
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