Sunday

January 25, 2015

January 25, 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.

**Answer this Question**

**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 - A public relations firm found only 9% of voters in a certain state...

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

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

Algebra - A pollster conducts a survey by phone. The probability that a call ...

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

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

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

Statistics - People end up tossing 12% of what they buy at the grocery store (...