The following data were obtained from a repeated-measures study comparing two treatment
conditions. Use a repeated-measures ANOVA withα= .05 to determine whether there are
significant mean differences between the two treatments.Show work.
Treatments
Person
I
II
Person Totals
A
3
5
P= 8
B
5
9
P= 14
N= 16
C
1
5
P= 6
G= 80
D
1
7
P= 8
∑X2= 500
E
5
9
P= 14
F
3
7
P= 10
G
2
6
P= 8
H
4
8
P= 12
M = 3 M = 7
T = 124 T = 56
SS = 18 SS = 18
Treatments
Person
I
II
Person Totals
A
3
5
P= 8
B
5
9
P= 14
N= 16
C
1
5
P= 6
G= 80
D
1
7
P= 8
∑X2= 500
E
5
9
P= 14
F
3
7
P= 10
G
2
6
P= 8
H
4
8
P= 12
M = 3 M = 7
T = 124 T = 56
SS = 18 SS = 18
Solution
SS_Between = 25.167, SS_Within = 15.750, SS_Total = 40.917. MS_Between = 12.583,
MS_Within = 1.750, F = 7.1905. p-value = 0.01362 < 0.05, so these data indicate significant
differences among the treatments..
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The following data were obtained from a repeated-measures study comp.pdf
1. The following data were obtained from a repeated-measures study comparing two treatment
conditions. Use a repeated-measures ANOVA withα= .05 to determine whether there are
significant mean differences between the two treatments.Show work.
Treatments
Person
I
II
Person Totals
A
3
5
P= 8
B
5
9
P= 14
N= 16
C
1
5
P= 6
G= 80
D
1
7
P= 8
∑X2= 500
E
5
9
P= 14
2. F
3
7
P= 10
G
2
6
P= 8
H
4
8
P= 12
M = 3 M = 7
T = 124 T = 56
SS = 18 SS = 18
Treatments
Person
I
II
Person Totals
A
3
5
P= 8
B
5
9
P= 14
N= 16
C
1
3. 5
P= 6
G= 80
D
1
7
P= 8
∑X2= 500
E
5
9
P= 14
F
3
7
P= 10
G
2
6
P= 8
H
4
8
P= 12
M = 3 M = 7
T = 124 T = 56
SS = 18 SS = 18
Solution
SS_Between = 25.167, SS_Within = 15.750, SS_Total = 40.917. MS_Between = 12.583,
MS_Within = 1.750, F = 7.1905. p-value = 0.01362 < 0.05, so these data indicate significant
