Experimental Design
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 relates to the sensitivity of tests, impacting the reliability of experimental results and interpretations.
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