MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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
expand button
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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