Posted by Jabaar on Thursday, April 29, 2010 at 11:34pm.
A pollster conducts a survey of a random sample of voters in a community to estimate the proportion who support a measure on public health insurance. Let P be the proportion of the population who support the measure. The pollster takes the sample of 200 voters and tests Ho: P=0.5 versus H1:P(not equal)0.5 at 5% level. What is the power of the test if the true value of P is 0.55?

statistics  MathGuru, Friday, April 30, 2010 at 8:09pm
The 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 1beta 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  Suppose the U.S. president wants an estimate of the proportion of ...
 Data Analysis  A) An insurance company wants to estimate the proportion of ...
 Statistics  People end up tossing 12% of what they buy at the grocery store (...
 statistics  People end up tossing 12% of what they buy at the grocery store (...
 statistics  People end up tossing 12% of what they buy at the grocery store (...
 Statistics Emergency please  People end up tossing 12% of what they buy at the ...
 Math  People end up tossing 12% of what they buy at the grocery store (Reader's...
 statistics  Can any sample proportion less than 0.5 be used to support a claim ...
 statistics  In a survey of 400 college students, 40 were lefthanded. Treating ...
 statistics  A researcher wants to estimate the proportion of a population which...
More Related Questions