Final answer:
A test with a 96% positive result among 100 patients has a sensitivity of 96%, indicating a low chance of false negatives.
Step-by-step explanation:
If 100 patients with a disease are tested but only 96 test positive for the disease, that means the test has a sensitivity of 96%. Sensitivity measures the test's ability to correctly identify those with the disease (true positives). A test's sensitivity is the probability of getting a positive test result when the patient is indeed infected. A sensitivity of 96% indicates that the probability of a false negative (the test indicating a person does not have a disease when they actually do) is low.