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Type I Error
The error of rejecting a true null hypothesis, also known as a false positive.
Alpha
Often denoted as α, it is a significance level used in hypothesis testing, representing the probability of rejecting a true null hypothesis.
Alpha
A term often associated with the significance level in hypothesis testing, indicating the probability of rejecting a true null hypothesis.
Type II Error
The error occurs when the null hypothesis is not rejected when it is actually false.
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