Having an Alpha of .05 and a Beta of .10 are the most common risk levels when running a Statistical test.

Name: Having an Alpha of .05 and a Beta of .10 are the most common risk levels when running a Statistical test.
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Quizplus · Accepted Answer

Alpha of 0.05 is a common significance level indicating a 5% risk of Type I error, and Beta of 0.10 indicates a 10% risk of Type II error, which are typical thresholds in hypothesis testing.