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March 31, 2015

March 31, 2015

Posted by **Jabaar** on Thursday, April 29, 2010 at 11:34pm.

- statistics -
**MathGuru**, Friday, April 30, 2010 at 8:09pmThe probability of making a Type II error is equal to beta. A Type II error is failure to reject the null when it is false. The power of the test is 1-beta and is the correct decision of rejecting the null when it is false. The alpha level directly affects the power of a test. The higher the level, the more powerful the test. Sample size also affects power. If your question is asking to calculate the actual power of the test, you will need to find methods to calculate beta.

I hope this helps.

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