Alpha Risk

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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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In lending, correspondingly, a Type 1 error would be rejecting a good loan, while a Type 2 error would be writing a bad loan, the economist said.
Each of the SPCs was classified as either a Type 1 error (a complete transposition between patients) or Type 2 error (contamination of the patient's tissue with one or more unrelated patients).
For example, a Type II error rate of 15 percent is associated with a Type 1 error rate of 21 percent in 1996, while Type I error rates of more than 21 percent are associated with a 15 percent Type II error rate for the years 1997-2004.
It should be noted that this study is a partial replication and extension of earlier research; thus, the threat to validity imposed from a slight elevation of Type 1 error is not as serious as it would have been without the earlier study.
All chapters have been revised, as each area of coverage now concludes with discussion of tests of main effects and type 1 error issues.