Preparatory Statistics
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 one actually exists. This error is crucial in hypothesis testing, as it relates to the sensitivity of the test in detecting true effects, influencing the interpretation of results in various contexts.
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