Which of the following sets of data would produce the largest value for an independent-measures t statistic?
a. Sample means of10 and 12, with sample variances of 20 and 25.
b. Sample means of10 and 12, with sample variances of 120 and 125.
c. Sample means of 10 and 20, with sample variances of 20 and 25.
d. Sample means of10 and 20, with sample variances of 120 and 125.
Question 2Which of the following sets of data would produce the largest value for Cohen's d?
a. n = 10 for both samples, a pooled variance of 15, and a mean difference of 3 points
b. n = 20 for both samples, a pooled variance of 15, and a mean difference of 5 points
c. n = 10 for both samples, a pooled variance of 20, and a mean difference of 3 points
d. n = 20 for both samples, a pooled variance of 20, and a mead difference of 5 points
Question 3For an independent-measures t statistic, what is the effect of increasing the number of scores in the samples?
a. Increase the likelihood of rejecting H0and increase measures of effect size
b. Increase the likelihood of rejecting H0 and decrease measures of effect size
c. Increase the likelihood of rejecting H0and have little or no effect on measures of effect size
d. Decrease the likelihood of rejecting H0 and have little or no effect on measures of effect size
Question 4For the independent-measures t statistic, what is the effect of increasing the difference between sample means?
a. Increase the likelihood of rejecting H0 and increase measures of effect size
b. Increase the likelihood of rejecting H0 and decrease measures of effect size
c. Decrease the likelihood of rejecting H0 and increase measures of effect size
d. Decrease the likelihood of rejecting H0and decrease measures of effect size