Question

Sensitivity is the probability that a test will identify a person who has the disease you are testing for.

Question 9 options:

	True
	False

Which of the following statements is NOT true when describing Specificity?

Question 10 options:

A) It measures the effectiveness of a test in returning a negative test result to people who do not have the disease.

B) It is the ability of a test to correctly identify people who have the disease you are testing for.

C) It is a characteristic of a diagnostic test, and is unaffected by the population you are testing.

D) It increases or decreases in relation to the sensitivity of your test.

Answer 1

• When diagnostic or screening tests are conducted, it is essential to truly identify a diseased individual and distinguish them from non-diseased individuals in a population.
• Sensitivity and specificity are two terms that may be used for this screening prediction, through test results.
• Sensitivity: Indicates the probability or proportion in a screening population, that tests (through true positive results), correctly and truly identifies a diseased individual. It also indicates ruling out of the disease through negative results. Individuals with high scores in screening tests.

Sensitivity = true positives/ (true positive + false negative).

• Specificity: Indicates the probability or proportion in a screening population, that tests, correctly and truly identifies a non-diseased individual. IT is the probability that, in a person without the disease (low screening score), how often the test will be negative, or specific tests, that has high degree of confidence.

Specificity = true negatives/ (true negative + false positive).

9. Answer: True.

10. Answer: B