Type 2 Error, also known as a "false negative," occurs in hypothesis testing when a false null hypothesis is not rejected. It represents a miss, failing to detect an effect or a difference when one actually exists.
Understanding Type 2 Error
In the context of medical testing, a Type 2 Error would occur if a test fails to detect a disease in a person who actually has the disease. The power of a test (1 - β) is related to the probability of avoiding a Type 2 Error.
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