In statistics, "alpha" typically refers to the significance level used in hypothesis testing. It represents the probability of rejecting the null hypothesis when it is actually true. Commonly denoted as α, it's predetermined by researchers and helps determine the threshold for accepting or rejecting a hypothesis. A lower alpha level (e.g., 0.05) indicates a more stringent criterion for rejecting the null hypothesis, while a higher alpha level (e.g., 0.10) implies a greater tolerance for Type I errors.
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