1. A null hypothesis states that there is

A. No significant difference between a population parameter and sample statistic.

B. A significant difference between a population parameter and sample statistic.

C. The difference between the population parameter and sample statistic is significant and can be attributed to sampling error.

D. The difference between the population parameter and sample statistic is insignificant and cannot be attributed to sampling error.

E. None of the above

2. Which is not a step in the hypothesis test process:

A. Compare critical values to the population average

B. Find critical values

C. Calculate test value (T or Z formula)

D. State Ho and h1

E. Apply the decision rule (if test value falls inside critical value, reject ho).

3.For the alternative hypothesis to be correct...

A. A significant difference exits between a population parameter and sample statistic.

B. No significant difference between a population parameter and sample statistic.

C. The difference between the population parameter and sample statistic is significant and can be attributed to sampling error.

D. The null hypothesis must also be correct.

E. The alpha must be greater than the level of 1-alpha.

4.A test value landing in the ______________ region would be grounds for__________ the ________________ hypotheses.

A: non-critical, not rejecting, null

B. non-critical, not rejecting, alternative

C. critical, not rejecting, null

D. non-critical, rejecting, null

E. none of the above

5.The bumblebee tuna company has for years operated under the assumption that the mean tuna consumption is 3.2 pounds of tuna per year with a (population standard deviation) of 1.13 pounds. However, an enterprising executive feels that the mean tuna consumption is inaccurate. She hires a market-research firm who samples 60 people and finds their average consumption to be 3.4 pounds. At an alpha level of .08, is the executive correct?

A. left tail, Z test, 60 degrees of freedom

B: 2 tail, Z test

C. 2 tail, Z test, 59 degrees of freedom

D. left tail, Z test

6.. The average salary for public school teachers for a specific year was reported to be $39,385. A random sample of 50 public school teachers in a particular state had a mean of $41,680, and the sample standard deviation is $5975. Is there sufficient evidence at the = 0.05 level to conclude that the mean salary differs from $39,385? Note: no calculations are required.

A. left tail, Z test, 49 degrees of freedom

B: 2 tail, T-test, 49 degrees of freedom

C. right tail, Z Test, 50 degrees of freedom

D. Cannot be determined