A test with 95% sensitivity means that it:

A test with 95% sensitivity measures how effectively it identifies individuals who have a specific disease. Sensitivity, also called the true positive rate, indicates the proportion of actual positives that are correctly identified by the test. In this context, a sensitivity of 95% means that the test correctly detects 95 out of 100 individuals who truly have the disease, which signifies a high level of accuracy in identifying true positives.

Focusing on the other options, identifying all individuals with the disease is an ideal scenario but does not reflect sensitivity. It implies a 100% sensitivity level, which is not the case here. Missing some true positive cases contradicts the definition of sensitivity; instead, it would suggest a lower sensitivity. Producing false negatives can occur with a test that has less than 100% sensitivity, as it indicates there are instances where the test fails to identify someone with the disease.

Thus, saying that a test has 95% sensitivity reinforces the understanding that it detects 95% of those who do have the disease, making option C the most accurate reflection of what sensitivity means in this context.