Answer:
I believe it is c> 34
Step-by-step explanation:
Correct me if i'm wrong
Answer:
A. 7/11
Step-by-step explanation:
Answer:
predictive value of a positive test = 18.18%
predictive value of a negative test = 94.03%
Step-by-step explanation:
Sensitivity = 60% = 0.6
Specificity = 70% = 0.7
Let True Positive = TP
True Negative = TN
False Negative = FN


Prevalence = 10% = 0.1
Three hundred people are screened, 
Total number of people having the disease, 


But TP = 1.5 FN
30 = 1.5 FN + FN
30 = 2.5 FN
FN = 30/2.5
FN = 12
TP = 1.5 FN = 1.5 * 12
TP = 18

81 + TN = 270
TN = 189
To calculate the Predictive value of positive test (PPT)

To calculate the Predictive value of negative test (PNT)

1. Take out the constants
-(2 x 3 x 4 x 2)xxyy^3
2. Simplify 2 x 3 x 4 x 2 to 48
-48xxyy^3
3. Use Product Rule: x^ax^b = x^a+b
-48x^1+1y^1+3
4. Simplify 1 + 1 to 2
-48x^2y^1+3
5. Simplify 1 + 3 to 4
-48x^2y^4