Examlex
What is the "Bounce Rate" in Google Analytics?
Type I Error
The mistake of rejecting the null hypothesis when it is actually true, commonly referred to as a "false positive".
Beta
A symbol often representing the type II error rate in hypothesis testing, or a measure of risk exposure in finance.
Type II Error
A statistical error that occurs when one fails to reject a false null hypothesis.
Alpha
In statistics, alpha represents the level of significance, the probability of rejecting the null hypothesis when it is actually true, commonly set at 0.05 or 5%.
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