Saturday

April 19, 2014

April 19, 2014

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.

**Related Questions**

Statistics - In a survey, 55% of the voters support a particular referendum. If ...

Math/statistics - Thirty five percent of adult americans are regular voters. A ...

Statistics - Suppose the U.S. president wants an estimate of the proportion of ...

Statisics - 35%of adult Americans are regular voters. A random sample of 250 ...

STATISTICS - In a survey of 1000 registered U.S. voters, 55% respond that they ...

TCCD - Thirty five percent of adult americans are regular voters. A random ...

statistics - . A statistician needs to survey a sample of 50 people that is ...

statistics - In a survey of 400 college students, 40 were left-handed. Treating ...

statistics - A researcher wants to estimate the proportion of a population which...

statistics - In a state,52%of the voters supports party-R, and 48% supports ...