1. The null hypothesis is that the mean value is 200.The population standard deviation is 10.The alternative hypothesis is that the mean value is greater than 200.The sample size is 20.What is the p-value of an observed sample mean of 203?

A: .089

B: .178

C: .05

D: .164

2. If the alternative hypothesis is that the mean value of a variable in one population is different from the mean value of a variable in another population, the test is two-sided.

Group of answer choices

A: True

B: False

3. If the alternative hypothesis is that the mean value of a variable in one population is different from the mean value of a variable in another population, the test is two-sided.

Group of answer choices

A: True

B: False

4. Suppose we have a dataset containing a number of body measurements from a population of people.Each record in the dataset contains all of the body measurements from a single person.We wish to follow up on the conjecture that typically a person's right wrist will be greater in diameter than his or her left wrist because of the larger amount of use of the right hand by the majority of people.

Group of answer choices

A: This is a one-sided hypothesis test. The null hypothesis is that right wrists are larger in diameter.

B: This is a two-sided hypothesis test. The null hypothesis is that right wrists are larger in diameter.

C: This is a two-sided hypothesis test. The null hypothesis is that both wrists are the same.

D: This is a one-sided hypothesis test. The null hypothesis is that both wrists are the same.

5. We want to test the hypothesis that 30% of the dollar bills in the cash registers at the Western Washington Fair come from the 12th Federal Reserve District. We take a sample of 40 dollar bills from these cash registers and find that 17 are from the 12th District. What is the proper R command to test this hypothesis at the 5% level?

Group of answer choices

A: prop.test(17,40)

B: prop.test(17,40,p=.3)

C: qnorm(.05)

D: t.test(x,mu=17)

7. We wish to test the hypothesis that the mean score on a test administered to all entering students at a university is 90%.We grade a random sample of students and store the results in a vector GRADES. What is the proper R command to test this hypothesis?

Group of answer choices

A: prop.test(GRADES,90)

B: prop.test(GRADES,p=.9)

C: t.test(GRADES,mu=90)

D: t.test(GRADES,p=.9)