Theoretical Statistics
A false negative occurs when a test incorrectly indicates that a condition is absent when it is actually present. This situation can lead to serious consequences, especially in medical and diagnostic settings, as it can result in a failure to provide necessary treatment or interventions. Understanding false negatives is crucial because they are linked to Type II errors, where the null hypothesis is not rejected when it should be.
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