False negatives refer to instances in which a test fails to detect a condition or event that is actually present. In probability and statistics, this term is crucial when evaluating the performance of diagnostic tests or decision-making processes, as it directly impacts the reliability of results and can lead to significant consequences, especially in fields like medicine and quality control.
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