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Sagot :
Answer:
Sensitivity = 66.7% Â (C)
specificity= 98.0% Â (E)
positive predictive value = 80.0% Â (F)
Negative predictive value = 96.0% Â (D)
accuracy of the test  = 94.5%  (A)
Step-by-step explanation:
Given the data in the question;
                  Disease Present        Disease Absent     Total
Test Positive            24                     6             30
Test Negative           12                    288           300
Total                  36                    294           330
so A = 24, B = 6, C = 12 and D = 288
sensitivity = [A/(A+C)]×100 = [24/(24+12)]×100 = [24/36]×100
Sensitivity = 66.7% Â (C)
specificity= [D/(D+B)]×100 = [288/(288+6)]×100 = [288/294]×100
specificity= 98.0% Â (E)
positive predictive value = [A/(A+B)]×100 = [24/(24+6)]×100
= [24/30]×100
positive predictive value = 80.0% Â (F)
Negative predictive value = [D/(D+C)]×100 = [288/(288+12)]×100
= [288/300]×100
Negative predictive value = 96.0% Â (D)
accuracy of the test = [A+D/(A+B+C+D)]×100 = [24+288/(24+6+12+288)]×100
= [312/330]×100
accuracy of the test  = 94.5%  (A)
Nothing 33.3% (B)
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