1) You want to compare improvement in depression scores on the PHQ9 Quick Depression Assessment (on a scale of 027 where 0 represents no depression and 27 represents severe depression) between one group of 35 teenagers who participate in a singing class and a second group of 38 teenagers who participate in a boxing class. Mean improvement in depression scores over a 2month period are:
 Change in depression score  Standard deviation 
Singing Class  5.72  1.43 
Boxing Class  8.46  2.19 
What statistic will show you how much the boxing class reduced the teenagers depression scores?
2) Individuals experiencing depression were divided into three groups. Each group was counseled for different amounts of time (1 month, 6 months, or 12 months) to see how they scored on measures of psychological wellbeing.
What is the best test to find differences among the groups?
 ttest of independent means 
 ttest of dependent means 
 ANOVA 
 Chisquare 
 Pearson r 
3) You want to learn whether women named Sarah are more likely to have grown up in the Midwest and whether women named Sara are more likely to have grown up in the East.
What is the best test?
 ttest of independent means 
 ttest of dependent means 
 ANOVA 
 Chisquare 
 Pearson r 
4) You need to find whether different levels of happiness are associated with different levels of income.
What is the best test?
 ttest of independent means 
 ttest of dependent means 
 ANOVA 
 Chisquare
Pearson r 
 
 
5) Which of these values in an ANOVA table is of greatest interest?
 Mean squares. 
 The value of p. 
 The value of F. 
6) If you read, F = 3.50, df = 2, 20, p < .05, what conclusion do you draw?
a) The means tested differed.  
 b) More than two groups or multiple measurement points were employed in the study. 
 c) The relationship tested is statistically significant. 
 d) All of the above. 
 e) None of the above. 
7) Equating a significant difference with a large difference is a mistake.
True
False
8) In an experiment with a treatment and control group, what does d = 2 mean?
 a) The average participant in the experimental group did two standard deviations better on some measure than the average participant in the control group. 
 b) The average participant in the experimental group did two standard deviations worse on some measure than the average participant in the control group. 
9) A large effect size might represent an unimportant result
True or False
10) To determine whether AIDerall enhances studying, you give the drug to a group of 14 students and engage another 14 students as a control group. Both groups then solve 40 mathematical problems. The lowest score students can receive is zero; the highest is 40. Students who took AIDerall received these scores: 32, 25, 17, 12, 17, 22, 27, 30, 27, 21, 19, 25, 23, 28. Students in the control group received these scores: 33, 21, 14, 20, 36, 11, 32, 12, 15, 18, 19, 22, 14, 13
For the AIDerall group and rounding every answer to the nearest integer, what are the:
Mean: [5, 8, 14, 19, 20, 23, 24, 25]
Median: [5, 8, 14, 19, 20, 23, 24, 25, 17]
Standard Deviation: [5, 8, 14, 19, 20, 23, 24, 25]
For the control group and rounding every answer to the nearest integer, what are the:
Mean: [5, 8, 14, 19, 20, 23, 24, 25]
Median: [5, 8, 14, 19, 20, 23, 24, 25]
Standard Deviation: [5, 8, 14, 19, 20, 23, 24, 25]
What is the d (using for your computations the rounded integers you previously derived):
[ Select ]
[.2, .25, .275, .3, .35, .40, .425, .461, .48, ]
How would you analyze the data from this study?
[ Select ]
[ttest, ANOVA, Chisquare, Pearson]
11) ANOVA yields what statistic?
F
d r 
t

12) A small, significant difference is not an important finding.
True or False  
 
13) Which of the following yield(s) a p value?
(select all possible answers)
 t test 
 Cohens d 
 chisquare 
 ANOVA 
 Pearsons r 
14) Insignificant differences are not useful. True or false?
15) What unit of measurement does Cohens d use to express the difference between a control group mean and an experimental mean?
16) All following questions are about Table 1.
Table 1. Outcomes of CognitiveBehavior Therapy (CBT), Motivational Interviewing (MI), or No Therapy (Control)
 
 CBT (n = 124)   MI (n = 115)   Control (n = 112)    Cohens d   
 M or %  SD or (SE)   M or %  SD or (SE)   M or %  SD or (SE)   X2, t,
or F 
CBT Control  MI Control  
Age  45.5  5.1   44.9  4.7   44.5  4.9   1.67*    
Female  41%    44%    42%    0.88    
Depressiona  18.9e  12.4   24.6  11.9   23.2  15.9   2.33**  0.27   
Anxietyb  33.2e  8.6   30.3f  7.1   35.7  6.8   2.04**  0.37  0.79  
Medicationc  27.5  3.3   19.8  2.7      5.16***    
Alcohol used  12.6  2.4   12.5  2.7   12.9e  2.1   3.14**  0.27  0.36  
Notes. aBeck Depression Inventory (0 35); lower scores indicate less depression. bMarquart Anxiety Scale (0 100); lower scores indicate less anxiety. cDays of using mood management drugs during CBT or MI (0 60). IDays on which one or more alcohol drinks were consumed in last month (0 30). Dissimilar subscripts indicate that means differ p < .05.
*p < .10; **p < .05; ***p < .01.
Did age significantly differ by treatment group?
 Yes 
 No 
 Cannot determine from the table. 
17) What test was used for comparing these variables?
Age
 Independent t 
 Dependent t 
 Chisquare 
 Pearson r 
 ANOVA 
 Cannot determine 
18)Female
 Independent t 
 Dependent t 
 Chisquare 
 Pearson r 
 ANOVA 
 Cannot determine 
19) Depression
 Independent t 
 Dependent t 
 Chisquare 
 Pearson r 
 ANOVA 
 Cannot determine 
20) Anxiety
 Independent t 
 Dependent t 
 Chisquare 
 Pearson r 
 ANOVA 
 Cannot determine 
21) Medication
 Independent t 
 Dependent t 
 Chisquare 
 Pearson r 
 ANOVA 
 Cannot determine 
22) Alcohol use
 Independent t 
 Dependent t 
 Chisquare 
 Pearson r 
 ANOVA 
 Cannot determine 
23) If you had to decide which treatment worked best, what would be the basis for your conclusion? Mark all that apply.
 M differences 
 p values 
 d values 
 SDs 
 Number of asterisks 
 Footnotes 
 All of the above 
 Cannot determine 
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