Probability and Statistics
In statistics, α (alpha) represents the significance level in hypothesis testing, which is the probability of making a Type I error. This value defines the threshold for rejecting the null hypothesis, indicating how willing researchers are to risk falsely concluding that there is an effect when none exists. A common choice for α is 0.05, which implies a 5% risk of making this error.
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