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)

Answer:
SAS Similarity
Step-by-step explanation:
ΔOPQ similar to ΔRST
∠Q = ∠T
OQ : RT = 28 : 84 = 1 : 3
QP : TS = 16 : 48 = 1 : 3
The measures of two sides of ΔOPQ are proportional to the measure of two side of ΔRST and their included angles are congruent. The triangles are similar by SAS Similarity.
Answer:
They performed the same, with 80% for both of their marks.
Step-by-step explanation:
Rashmi's mark in percentage : (480/600) x 100 = 80%
Rajan's Mark in percentage : (560/700) x 100 = 80%
To find anyone's marks in percentage, you can use :
(marks scored/full marks) x 100.