1.)

What is the difference between the null hypothesis and the alternative hypothesis?

a.The null hypothesis is initially assumed to be true, while the alternative hypothesis can beconsidered true only if it corresponds to the claim.

b.The null hypothesis must have the possibilityof equality, while the alternative hypothesis must correspond to the claim.

c.The alternative hypothesis must have the possibility of equality, while thenull hypothesis cannot.

d.The null hypothesismust have the possibility of equality, and is initially assumed to be true.

2.)

A hypothesis test had a test statics of -2.57.If this is a left tailed t-test,with a sample size of 15 and a significance level of 5%, what can be concluded?

a.The null hypothesis is rejected.

b.The claimis supported.

c.The claim is not supported.

d.The null hypothesis is not rejected.

3.)

A person claims that their roommatewashes their dishes no more than 2 times a week. A hypothesis test on the matter resulted in a test statics of 1.86. If this is a t-test with sample size of 10 and a significance level of 10%, what can be concluded?

a.The claimis supported.

b.The alternative hypothesis rejected.

c.The null hypothesis is not rejected.

d.The claim is not supported.

4.)

A two tailed t-test has the test static 1.782, and is based on a sample size of 20 and a significance level of 0.01. What can be concluded?

a.The claim is supported.

b.The claim is not supported.

c.The null hypothesis is rejected.

d.The null hypothesis is not rejected.

5.)

What is the difference between a Type I and a Type II error?

a.A Type I error is rejecting a true null hypothesis, while a Type II error is failing to reject a false null hypothesis.

b.A Type I error is failing to reject a true null hypothesis,while a Type II error is rejecting a false null hypothesis.

c.A Type I error is failing to reject a true null hypothesis,while a Type II error is rejecting a true null hypothesis.

d.A Type I error is failing to reject a false null hypothesis,while a Type II error is rejecting a true null hypothesis.