1. The larger the value for df, the more a t distribution resembles a normal distribution? True or False

2. In general, an increase in the sample variance makes is more likely that the t statistic will be large enough to reject the null hypothesis. True or False

3. In general, a large value for a t statistic (far from zero) is an indication that the sample data are not consistent with the null hypothesis. True or False

4. A sample of n = 15 scores will produce a t statistic with df = 16. True or False

5. The size of the estimated standard error, sM, is partially determined by the size of the sample variance. True or False

6. If other factors are held constant, increasing the number of scores in the sample will increase the likelihood of rejecting the null hypothesis. True or False

7. Which of the following terms is not required when using the t statistic? n 

df 
s or s2 or SS 

8. A sample of n = 9 scores has SS = 72. What is the estimated standard error for the sample mean?

9. What is measured by the estimated standard error, sM? a. how spread out the scores are in the sample. 
b. how spread out the scores are in the population. 
c. how much difference is reasonable to expect between a sample mean and the population mean. 
d.how much difference is reasonable to expect between the t statistic and the corresponding z-score. 

10. A hypothesis test produces a t statistic of t = 2.14. If the researcher is using a two-tailed test with a = .05, how large does the sample have to be in order to reject the null hypothesis?