Question

Sample of 1000. 134 had abnormal test findings and asked to return. Of those, 52 had the disease. Of those not asked to return, 14 had later developed the disease. What is the sensitivity of the test?

Answer 1

The sensitivity of the test is 78.8% based on the provided information.To calculate the sensitivity of the test, divide the number of true positives by the sum of true positives and false negatives, which in this case is 52 / (52 + 14).

Step-by-step explanation:

The sensitivity of a test is a measure of its ability to correctly identify individuals with a particular condition or disease.

To calculate the sensitivity of the test given the provided information:

1. Sample size = 1000
2. Number of individuals asked to return = 134
3. Number of individuals who had the disease among those asked to return = 52
4. Number of individuals who developed the disease among those not asked to return = 14

The formula to calculate sensitivity is:

Sensitivity = Number of true positives / (Number of true positives + Number of false negatives)

Based on the provided information, the number of true positives is 52 and the number of false negatives is 14. Therefore, the sensitivity is calculated as:

Sensitivity = 52 / (52 + 14) = 0.7879 or 78.8%