Alpha Risk

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Related to alpha error: false positive error

Alpha Risk

When testing a hypothesis, the risk of rejecting a piece of data that should have been accepted. Many tests reject some data as unusable or irrelevant. Alpha risk is the probability that the wrong data will be eliminated from the sample. It is also called type I error or alpha error. See also: Beta risk.
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The probability of the test statistic (0.000) is lesser than the probability of alpha error rate (0.05).
The probability of the test statistic (0.221) is greater than the probability of alpha error rate (0.05).
This is called the alpha error. If we have the alpha error of 0, then we will need a very large sample size.