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)

An example is the number 5i
A + (b + c) = (a + b) + c.....what u have here is the associative property of addition
Answer:
In ∆ABC, AD is perpendicular while BC and BE are perpendicular to AC.
Step-by-step explanation:
Answer: y+3
Step-by-step explanation: I'm taking the test rn