10. How does sample variance influence the estimated standard error and a measure of effect size like Cohen's d?

a.Larger variance increases both the standard error and measures of effect size.

b.Larger variance increases the standard error but decreases measures of effect size.

c.Larger variance decreases the standard error but increases measures of effect size.

d.Larger variance decreases both the standard error and measures of effect size.

11. Which of the following would have no effect on the width of a confidence interval?

a.Increase the sample mean

b.Increase the size of the sample

c.Increase the percentage of confidence

d.Increase the sample variance

12. The results of a hypothesis test are reported as follows: t(15) = 2.70, p < .05. Based on this report, how many individuals were in the sample?

a.14

b.15

c.16

d.Cannot be determined from the information provided