1. As sample variances increases, what happens to the likelihood of rejecting the null hypothesis and what happens to measures of effect size such as r² and Cohen's d?

a. the likelihood decreases and measures of effect size decrease

b. the likelihood increases and measures of effect size decrease

2. One sample has a variance of s² = 10 and a second sample has a variance of s² = 6. If the two samples have the same number of scores, what is the pooled variance for the two samples?

a. 14

b. 4

c. cannot answer without knowing the sample size

d. 8

3. For the independent-measures t statistic, what is the effect of increasing the sample variances?

a. decrease the likelihood of rejecting H₀ and decrease measures of effect size

b. increase the likelihood of rejecting H₀ and increase measures of effect size

c. decrease the likelihood of rejecting H₀ and increase measures of effect size

d. increase the likelihood of rejecting H₀ and decrease measures of effect size

4. Which of the following sets of sample data would produce the largest value for an independent-measures t statistic? Assume that n = 10 for all samples.

a. a sample mean difference of 5 points with SS = 20 for both samples

b. a sample mean difference of 10 points with SS = 10 for both samples

c. a sample mean difference of 10 points with SS = 20 for both samples

d. a sample mean difference of 5 points with SS = 10 for both samples

5. A researcher obtains a t statistic of t = 2.00 from a repeated measures study using n = 7 participants. If the effect size is measured using r² then the value of r² for the study would be _______________________

a. the value of r² cannot be determined from the information provided

b. r² = 4/40 = .10

c. r² = 4.00

d. r² = 4/10 = .40

6. A researcher obtains t = 4.00 and M_D = 9 for a repeated-measures study. If the researcher measures effect size using the percentage for variance accounted for, what value will be obtained for r²?

a. 16/97

b. cannot be determined without additional information

c. 9/4

d. 16/81

7. Which of the following samples will produce the largest value for a t statistic? Assume each sample has n = 10 scores.

a. M_D = 10 with SS = 20

b. M_D = 5 with SS = 20

c. M_D = 5 with SS = 40

d. M_D = 10 with SS = 40

8. The results from an independent-measures research study indicate that there are significant differences between treatments, F(2, 30) = 4.80, p < .05

a. How many treatments were compared in the study?

b. How many individuals participated in the entire study?

9. The following summary table presents the results from an ANOVA comparing three treatment conditions with n = 8 participants in each treatment. Complete all missing values. (hint: start with df column)

Source	SS	Df	MS
Between treatments	(?)___________________________	(?)___________________________	20	F=(?)___________________________
Within treatments	(?)___________________________	(?)___________________________	(?)___________________________
Total	124	(?)___________________________

10. The following data are constructed so that there is no variability inside any of the treatment conditions

a. Before you begin any calculations, predict what value should be obtained for SS_within. (Hint: How big are the differences within treatments?)

b. Calculate SS_totaland SS_between. You should find that all of the variability in the data is between-treatments variability (SS_total= SS_between)

Treatment
I	II	III
4	2	6	N = 12
4	2	6	G = 48
4	2	6	EX2 = 224
4	2	6
M = 5	M = 2	M = 1
SS = 2	SS = 8	SS = 2