Probability and Statistics
The alpha level, often denoted as $$\alpha$$, is the threshold for significance in hypothesis testing, indicating the probability of making a Type I error. It represents the probability of rejecting the null hypothesis when it is actually true, serving as a standard for determining whether the results of a test are statistically significant. Researchers typically set an alpha level before conducting their tests, commonly at 0.05, meaning there is a 5% risk of incorrectly concluding that an effect exists.
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