4. Predictive 5. Predictive 6. Likelihood 7. Likelihood ratio negative 8. Overall accuracy. value positive value negative ratio positive

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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I need assistance with qs 4,5,6,7,8
A screening test for a newly discovered disease is being evaluated. To determine the effectiveness of the new test, it was administered to 880 workers, and 120 of the
individuals diagnosed with the disease tested positive.
A negative test finding occurred in 50 people who had the disease. A total of 40 persons not diseased tested positive for it.
Construct a 2 x 2 table similar to Table 12-1 and calculate the following:
1. Prevalence of the disease
2. Sensitivity
3. Specificity
4. Predictive value positive
5. Predictive value negative
6. Likelihood ratio positive
7. Likelihood ratio negative
8. Overall accuracy.
Transcribed Image Text:A screening test for a newly discovered disease is being evaluated. To determine the effectiveness of the new test, it was administered to 880 workers, and 120 of the individuals diagnosed with the disease tested positive. A negative test finding occurred in 50 people who had the disease. A total of 40 persons not diseased tested positive for it. Construct a 2 x 2 table similar to Table 12-1 and calculate the following: 1. Prevalence of the disease 2. Sensitivity 3. Specificity 4. Predictive value positive 5. Predictive value negative 6. Likelihood ratio positive 7. Likelihood ratio negative 8. Overall accuracy.
Disease
No disease
Total
Positive
120
40
a.) Prevalence of disease
p= n (disease)/n (total)
=170/880
= 0.1932
b.) Sensitivity
0.7059
120+40=160
c.) Specificity
Specificity=
= 670/670 + 40
= 0.9437
Negative
50
Sensitivity = True positive / True positive + False negative
= 120/120+ 50
710-50-670
50+670=720
Total
= True negative / True negative + False positive
120+50=170
880-170-710
160+720 880
Transcribed Image Text:Disease No disease Total Positive 120 40 a.) Prevalence of disease p= n (disease)/n (total) =170/880 = 0.1932 b.) Sensitivity 0.7059 120+40=160 c.) Specificity Specificity= = 670/670 + 40 = 0.9437 Negative 50 Sensitivity = True positive / True positive + False negative = 120/120+ 50 710-50-670 50+670=720 Total = True negative / True negative + False positive 120+50=170 880-170-710 160+720 880
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