Answer the following questions about hypothesis testing:

i.Typically, the null hypothesis is the statement that we are interested in _____.

a.Accepting

b.Disproving

c.Proving

d.Rejecting

ii.Increasing the value of the significance level tends to do which of the following?

a.Increases Type I error and increases Type II error

b.Increases Type I error and reduces Type II error

c.Reduces Type I error and increases Type II error

d.Reduces Type I error and reduces Type II error

iii.The power of a statistical test is best described as which of the following?

a.The probability that the test will correctly accept a false alternative hypothesis.

b.The probability that the test will correctly accept a false null hypothesis.

c.The probability that the test will correctly reject a false alternative hypothesis.

d.The probability that the test will correctly reject a false null hypothesis.

iv.Which of the following is our best attitude to a test result that returns a nonsignificant result?

a.The null hypothesis is conclusively demonstrated to be correct.

b.The null hypothesis is conclusively demonstrated to be incorrect.

c.The overall study is inconclusive and the null hypothesis is incorrect.

d.The overall study is inconclusive and we shouldn't make a definitive decision.

v.Which of the following is the best description of what a "two-sided" test means?

a.Either the null or alternative hypothesis may be false.

b.Either the null or alternative hypothesis may be true.

c.The alternative hypothesis includes parameter values of both sides of the null hypothesis parameter value.

d. The alternative hypothesis includes statistical values of both sides of the null hypothesis statistic value