A Type II error, also known as a false negative, occurs when a test incorrectly fails to reject a false null hypothesis. In the context of cancer, this means that the test indicates a patient does not have cancer when, in fact, they do. This can have serious consequences for patient outcomes, as it can delay the necessary treatment.
