Data, Inference, and Decisions
A Type II error occurs when a statistical test fails to reject a false null hypothesis, leading to a conclusion that there is no effect or difference when, in fact, there is one. This error is closely linked to the power of a test, which measures the likelihood of correctly rejecting a false null hypothesis, making it crucial in evaluating the effectiveness of hypothesis testing.
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