The following data were obtained from a two-factor
independent-measures experiment with n = 5 participants in
each treatment condition
AROUSAL
LOW
MEDIUM
HIGH
DRUG
Control
M = 3
M = 6
M = 9
Cannibis
M = 3
M = 4
M = 3
DV = Number of errors
State the hypotheses for each of the three separate tests
included in the two-factor ANOVA. 2) Draw a graph...
The following data were obtained from a two-factor
independent-measures experiment with n = 5 participants in
each treatment condition.
AROUSAL
LOW
MEDIUM
HIGH
DRUG
Control
M = 3
M = 6
M = 9
Cannibis
M = 3
M = 4
M = 3
DV = Number of errors
1). State the hypotheses for each of
the three separate tests included in the two-factor ANOVA. 2) Draw
a...
The following data were obtained from a two-factor
independent-measures experiment with n = 5
participants in each treatment condition. What is the F-value for
the interaction/AxB effect
B1 B2 B3
A1
M = 3 T = 15 SS = 18
M = 6 T = 30 SS = 28
M = 9 T = 45 SS = 26
A2
M = 1 T = 5 SS = 8
M = 4 T = 20 SS = 20
M = 1...
The following data were obtained from a two‑factor
independent-measures experiment.
B1
B2
A1
M = 22
T = 440
SS = 1540
M = 15
T = 300
SS = 1270
n = 20 for all cells
A2
M = 17
T = 340
SS = 1320
M = 18
T = 360
SS = 1266
G =
1440
N =
80
ΣX2 = 31,836
- Following the steps of a hypothesis test, determine if...
The following data was obtained from two independent samples for
which sigma was unknown; they were selected from two normally
distributed populations.
Sample 1: 27, 39, 25, 33, 21, 35, 30, 26, 25, 31, 35, 30, 28
Sample 2: 24, 28, 23, 25, 24, 22, 29, 26, 29, 28, 19, 29
What is the point estimate for μ1- μ2?
Construct a 98% confidence interval for μ1- μ2.
Test at the 1% significance level whether the population mean
for the first...
The following results are from an independent-measures, two
factor study. Be careful that this is a 2x3
design. You are expected to extend your knowledge on 2x2
design to a 2x3 factorial design.
The study:
Consider an experiment designed to investigate the effectiveness
of therapy for the treatment of anxiety or fear. Two kinds of
therapy (systematic desensitization, counter conditioning) as well
as a counseling-only control condition are included. The therapy
and counseling programs have been conducted over a number...
The following explanation and table summarizes the results of a
two-factor ANOVA evaluating an independent-measures
experiment.
-Depressed people are given two different types of treatments:
Exercise, and Psychological Therapy.
-Factor A is exercise, and there are 3 levels: intense exercise,
moderate exercise, or no exercise.
-Factor B is therapy, and there are 2 levels: Cognitive Behavior
Therapy and Treatment as Usual.
-There are n = 8 participants in each treatment condition. Use the
lecture notes as your guide for this...
The following explanation and table summarizes the results of a
two-factor ANOVA evaluating an independent-measures experiment.
Depressed people are given two different types of treatments:
Exercise, and Psychological Therapy.
Factor A is exercise, and there are 3 levels: intense exercise,
moderate exercise, or no exercise.
Factor B is therapy, and there are 2 levels: Cognitive Behavior
Therapy and Treatment as Usual.
There are n = 8 participants in each treatment condition
State the three different hypotheses for this
test.
What...
The following table summarizes the results of a two-factor ANOVA
evaluating an independent-measures experiment with 2 levels of
factor A, 3 levels of factor B, and n = 6 participants in each
treatment condition.
A. Fill in all missing values in the table.
Show your work (i.e., all computational steps for finding the
missing values). Hint: start with the df values.
B. Do these data
indicate any significant effects (assume p < .05 for
hypothesis testing of all three effects)?
Note:...
The following table summarizes the results of a two-factor ANOVA
evaluating an independent-measures experiment with 2 levels of
factor A, 3 levels of factor B, and n = 6 participants in each
treatment condition.
A. Fill in all missing values in the table.
Show your work (i.e., all computational steps for finding the
missing values). Hint: start with the df values.
B. Do these data
indicate any significant effects (assume p < .05 for
hypothesis testing of all three effects)?
the...