The beta level, often denoted as \(\beta\), is the probability of making a Type II error in hypothesis testing. This error occurs when the null hypothesis is not rejected when it is actually false. Understanding the beta level is crucial as it helps determine the power of a statistical test, which is the probability of correctly rejecting a false null hypothesis.
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