Intro to Political Research
A Type II error occurs when a null hypothesis is falsely accepted, meaning that a test fails to detect an effect or difference when one actually exists. This type of error is crucial in hypothesis testing because it can lead to incorrect conclusions about the data, often causing researchers to overlook significant findings that could impact their analysis.
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