Radiology, Cancer A radiologist investigates whether a new (less costly) method for identifying esophageal cancer is as effective as the gold standard. He obtains the following test results: false positive = 0, true positive = 46, false negative = 1, true negative = 17. (a) What is the sensitivity of the test? (Round your answer to four decimal places.) [09787] (b) Consider the following Excel spreadsheet. BINOMDIST(45, 47, p, TRUE) Р 0.8000 1.000 0.8100 0.999 0.8200 0.999 0.8300 0.998 0.8400 0.997 0.8500 0.996 0.8600 0.993 0.8700 0.988 0.8800 0.982 0.8900 0.972 0.9000 0.956 0.9100 0.933 0.9200 0.899 0.9300 0.850 0.9400 0.782 0.9500 0.688 0.9600 0.566 0.9700 0.414 0.9800 0.242 0.9900 0.080 0.9950 0.023 0.9990 0.001 0.9995 0.000 True positves True positive + False nego BINOMDIST(46, 47, p, TRUE) 1.000 1.000 1.000 1.000 1.000 1.000 0.999 0.999 0.998 0.996 0.993 0.988 0.980 0.967 0.945 0.910 0.853 0.761 0.613 0.376 0.210 0.046 0.023 46 47 46+1 = 0.97872340 = 0.9787 Provide a 95% CI for the sensitivity. (Enter your answer using interval notation. Round your numerical values to two decimal places. Hint: The above Excel spreadsheet might be useful.)
Radiology, Cancer A radiologist investigates whether a new (less costly) method for identifying esophageal cancer is as effective as the gold standard. He obtains the following test results: false positive = 0, true positive = 46, false negative = 1, true negative = 17. (a) What is the sensitivity of the test? (Round your answer to four decimal places.) [09787] (b) Consider the following Excel spreadsheet. BINOMDIST(45, 47, p, TRUE) Р 0.8000 1.000 0.8100 0.999 0.8200 0.999 0.8300 0.998 0.8400 0.997 0.8500 0.996 0.8600 0.993 0.8700 0.988 0.8800 0.982 0.8900 0.972 0.9000 0.956 0.9100 0.933 0.9200 0.899 0.9300 0.850 0.9400 0.782 0.9500 0.688 0.9600 0.566 0.9700 0.414 0.9800 0.242 0.9900 0.080 0.9950 0.023 0.9990 0.001 0.9995 0.000 True positves True positive + False nego BINOMDIST(46, 47, p, TRUE) 1.000 1.000 1.000 1.000 1.000 1.000 0.999 0.999 0.998 0.996 0.993 0.988 0.980 0.967 0.945 0.910 0.853 0.761 0.613 0.376 0.210 0.046 0.023 46 47 46+1 = 0.97872340 = 0.9787 Provide a 95% CI for the sensitivity. (Enter your answer using interval notation. Round your numerical values to two decimal places. Hint: The above Excel spreadsheet might be useful.)
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Related questions
Question
![DETAILS
ROSBIOSTAT8 6.E.108-109.
Radiology, Cancer
A radiologist investigates whether a new (less costly) method for identifying esophageal cancer is as effective as the gold
standard.
He obtains the following test results: false positive = 0, true positive
(a) What is the sensitivity of the test? (Round your answer to four decimal places.)
09787
(b) Consider the following Excel spreadsheet.
Р
0.8000
1.000
0.8100
0.999
0.8200 0.999
0.8300 0.998
0.8400 0.997
0.8500 0.996
0.8600
0.993
0.8700 0.988
0.8800 0.982
0.8900 0.972
0.9000 0.956
0.9100 0.933
0.9200 0.899
0.9300 0.850
0.9400 0.782
0.9500 0.688
0.9600 0.566
0.9700 0.414
0.9800 0.242
0.9900 0.080
0.9950 0.023
0.9990 0.001
0.9995 0.000
Need Help?
BINOMDIST(45, 47, p, TRUE)
Read It
MY NOTES
=
1.000
1.000
1.000
1.000
1.000
1.000
0.999
0.999
0.998
0.996
0.993
0.988
0.980
0.967
0.945
0.910
0.853
0.761
0.613
0.376
0.210
0.046
0.023
ASK YOUR TEACHER
46, false negative = 1, true negative = 17.
BINOMDIST(46, 47, p, TRUE)
True positves
True positive + False negative
46
47
46.
46+1
:)
Provide a 95% CI for the sensitivity. (Enter your answer using interval notation. Round your numerical values to two
decimal places. Hint: The above Excel spreadsheet might be useful.)
) manually
Please explain how to do the enclosed (
and with Tables.
Thank you
= 0.9787234043
= 0.9787](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faeadb183-1175-48ee-be1d-be4cbd36e1e9%2Fd69e26d9-c7b9-4e8b-a5e6-ab260963a888%2F54ftqv_processed.jpeg&w=3840&q=75)
Transcribed Image Text:DETAILS
ROSBIOSTAT8 6.E.108-109.
Radiology, Cancer
A radiologist investigates whether a new (less costly) method for identifying esophageal cancer is as effective as the gold
standard.
He obtains the following test results: false positive = 0, true positive
(a) What is the sensitivity of the test? (Round your answer to four decimal places.)
09787
(b) Consider the following Excel spreadsheet.
Р
0.8000
1.000
0.8100
0.999
0.8200 0.999
0.8300 0.998
0.8400 0.997
0.8500 0.996
0.8600
0.993
0.8700 0.988
0.8800 0.982
0.8900 0.972
0.9000 0.956
0.9100 0.933
0.9200 0.899
0.9300 0.850
0.9400 0.782
0.9500 0.688
0.9600 0.566
0.9700 0.414
0.9800 0.242
0.9900 0.080
0.9950 0.023
0.9990 0.001
0.9995 0.000
Need Help?
BINOMDIST(45, 47, p, TRUE)
Read It
MY NOTES
=
1.000
1.000
1.000
1.000
1.000
1.000
0.999
0.999
0.998
0.996
0.993
0.988
0.980
0.967
0.945
0.910
0.853
0.761
0.613
0.376
0.210
0.046
0.023
ASK YOUR TEACHER
46, false negative = 1, true negative = 17.
BINOMDIST(46, 47, p, TRUE)
True positves
True positive + False negative
46
47
46.
46+1
:)
Provide a 95% CI for the sensitivity. (Enter your answer using interval notation. Round your numerical values to two
decimal places. Hint: The above Excel spreadsheet might be useful.)
) manually
Please explain how to do the enclosed (
and with Tables.
Thank you
= 0.9787234043
= 0.9787
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