Mathematical Probability Theory
A Type II error occurs when a statistical test fails to reject a false null hypothesis, leading to the incorrect conclusion that there is no effect or difference when one actually exists. This concept is crucial as it connects to the power of a test, which measures the probability of correctly rejecting a false null hypothesis, and helps to understand the implications of errors in hypothesis testing.
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