The positive predictive value of a test is 92. What does this tell us?
A) The condition is actually present in 92 out of every 100 people who test positive.
B) The condition is present in 92 out of every 100 people with similar demographic and clinical characteristics.
C) The test will give a negative result in 92 out of every 100 patients who do not have the condition.
D) The test will provide a correct result 92 of every 100 times.
Question 2
When testing for medical conditions, when is a high efficiency most desired?
A) When only a false positive might cause harm
B) When the condition is both serious and treatable, and a false positive and false negative are equally injurious
C) When the suspected medical condition is serious but not treatable, and a false positive can cause harm
D) When the suspected medical condition is serious and treatable, and a false positive does not have harmful consequences
Pregnancy test
Positive and Negative Symptoms of Schizophrenia
A test for iconic sensory memory
Monitoring and Following Up on Laboratory Test Results
Using an ice bath to test the fuel temperature sensor.
Allen’s test