Communication Research Methods
A Type II error occurs when a statistical test fails to reject a false null hypothesis, meaning it concludes that there is no effect or difference when, in reality, there is one. This error is crucial in understanding inferential statistics and hypothesis testing, as it highlights the risk of overlooking significant findings, especially when using tests like t-tests to compare means between groups.
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