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Beta Risk
 

In hypothesis testing the beta (β ) risk is the risk of making a type II error. A type II error occurs when there is a 'special cause' but the test results do not show that the null hypothesis should be rejected.

The beta risk equals 1 minus the Power of the test.

Refer also to alpha risk.

 

Hypothesis testing is covered in the MiC Quality Advanced Statistics Course.

Try out our courses by taking the first module of the Primer in Statistics free of charge.

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