1) You want to compare improvement in depression scores on the PHQ-9 Quick Depression Assessment (on a scale of 0-27 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 2-month 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? a) R b) R^2 c) r d) r^2 e) p f) X^2 g) d h) F i) t 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? t-test of independent means t-test of dependent means ANOVA Chi-square 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? t-test of independent means t-test of dependent means ANOVA Chi-square Pearson r 4) You need to find whether different levels of happiness are associated with different levels of income. What is the best test? t-test of independent means t-test of dependent means ANOVA Chi-square 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 Adderall 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 Adderall 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 Adderall gr.

1. 1) You want to compare improvement in depression scores on
the PHQ-9 Quick Depression Assessment (on a scale of 0-27
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 2-month 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?
a) R
b) R^2
c) r
d) r^2
e) p
f) X^2
g) d
h) F
i) t
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.

2. What is the best test to find differences among the groups?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
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?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
Pearson r
4) You need to find whether different levels of happiness are
associated with different levels of income.
What is the best test?
t-test of independent means
t-test of dependent means

3. ANOVA
Chi-square
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.

4. 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 Adderall 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 Adderall 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

5. For the Adderall 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
", "

6. 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
", "

7. 19
", "
20
", "
23
", "
24
", "
25
"]
Median:
["
5
", "
8
", "
14
", "
19
", "
20
", "
23
", "
24
", "
25
"]
Standard Deviation:
["
5
", "
8
", "
14

8. ", "
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
", "

9. .461
", "
.48
", ""]
How would you analyze the data from this study?
[ Select ]
["
t-test
", "
ANOVA
", "
Chi-square
", "
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?

10. (select all possible answers)
t test
Cohen's d
chi-square
ANOVA
Pearson's r
14) Insignificant differences are not useful. True or false?
15) What unit of measurement does Cohen's 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 Cognitive-Behavior Therapy (CBT),
Motivational Interviewing (MI), or No Therapy (Control)
CBT (
n
= 124)
MI (
n
= 115)
Control (
n
= 112)

11. Cohens’
d
M
or %
SD
or (
SE
)
M
or %
SD
or (
SE
)
M
or %
SD
or (
SE
)
X
2
, t,
or
F
CBT - Control
MI - Control
Age
45.5

12. 5.1
44.9
4.7
44.5
4.9
1.67*
Female
41%
44%
42%
0.88
Depression
a
18.9
e
12.4
24.6
11.9
23.2

13. 15.9
2.33**
0.27
Anxiety
b
33.2
e
8.6
30.3
f
7.1
35.7
6.8
2.04**
0.37
0.79
Medication
c
27.5
3.3
19.8
2.7
5.16***

14. Alcohol use
d
12.6
2.4
12.5
2.7
12.9
e
2.1
3.14**
0.27
0.36
Notes.
a
Beck Depression Inventory (0 - 35); lower scores indicate less
depression.
b
Marquart Anxiety Scale (0 – 100); lower scores indicate less
anxiety.
c
Days of using mood management drugs during CBT or MI (0 –
60).
d
Days on which one or more alcohol drinks were consumed in
last month (0 – 30). Dissimilar subscripts indicate that means
differ
p
< .05.
*
p

15. < .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
Chi-square
Pearson r
ANOVA
Cannot determine
18)
Female
Independent t
Dependent t

16. Chi-square
Pearson r
ANOVA
Cannot determine
19)
Depression
Independent t
Dependent t
Chi-square
Pearson r
ANOVA
Cannot determine
20)
Anxiety
Independent t
Dependent t
Chi-square
Pearson r
ANOVA

17. Cannot determine
21)
Medication
Independent t
Dependent t
Chi-square
Pearson r
ANOVA
Cannot determine
22) Alcohol use
Independent t
Dependent t
Chi-square
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

18. p values
d values
SDs
Number of asterisks
Footnotes
All of the above
Cannot determine