Question

In: Statistics and Probability

Answer the within-subjects ANOVA questions using the data below. Use α = 0.05. 1 2 3...

Answer the within-subjects ANOVA questions using the data below. Use α = 0.05.

1 2 3 4
53
49
38
42
51
34
44
44
29
36
34
39
30
12
46
37
39
37
36
34
47
25
22
30
27
33
28
31


a) Compute the preliminary statistics below.
SSBG =  ; dfBG =  
SSBS =  ; dfBS =  
SSE =  ; dfE =  
SST =  ; dfT =  

b) Compute the appropriate test statistic(s) to make a decision about H0.
critical value =  ; test statistic =  
Decision:  ---Select--- Reject H0 Fail to reject H0

c) Compute the corresponding effect size(s) and indicate magnitude(s).
η2 =  ;  ---Select--- na trivial effect small effect medium effect large effect

d) Make an interpretation based on the results.

At least one week differs on the GRE verbal score.No week is different on GRE verbal score.    


e) Conduct Tukey's Post Hoc Test for the following comparisons:
1 vs. 3: difference =  ; significant:  ---Select--- Yes No
1 vs. 2: difference =  ; significant:  ---Select--- Yes No

f) Conduct Scheffe's Post Hoc Test for the following comparisons:
1 vs. 2: test statistic =  ; significant:  ---Select--- Yes No
2 vs. 4: test statistic =  ; significant:  ---Select--- Yes No

Solutions

Expert Solution

One-way ANOVA: Y versus Treatment

Source DF SS MS F P
Between 3 1139.5 379.8 7.88 0.001
Error 240 1157.4 48.2
Total 27 2297

S = 6.945 R-Sq = 49.61% R-Sq(adj) = 43.31%

a) Compute the preliminary statistics below.
SSBG = NA ; dfBG = NA
SSBS =1139.5 ; dfBS = 3
SSE =  1157.4 ; dfE = 24
SST = 2297 ; dfT = 27

c) Compute the corresponding effect size(s) and indicate magnitude(s).
η2 =1139.5/ 2297= 0.4961; medium effect

d) Make an interpretation based on the results.

At least one week differs on the GRE verbal score.

####

Multiple Comparisons
Dependent Variable:Y
(I) Between (J) Between Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval
Lower Bound Upper Bound
Tukey HSD 1 2 12.4286* 3.71200 .013 2.1886 22.6685
3 5.0000 3.71200 .543 -5.2399 15.2399
4 16.4286* 3.71200 .001 6.1886 26.6685
2 1 -12.4286* 3.71200 .013 -22.6685 -2.1886
3 -7.4286 3.71200 .215 -17.6685 2.8114
4 4.0000 3.71200 .706 -6.2399 14.2399
3 1 -5.0000 3.71200 .543 -15.2399 5.2399
2 7.4286 3.71200 .215 -2.8114 17.6685
4 11.4286* 3.71200 .025 1.1886 21.6685
4 1 -16.4286* 3.71200 .001 -26.6685 -6.1886
2 -4.0000 3.71200 .706 -14.2399 6.2399
3 -11.4286* 3.71200 .025 -21.6685 -1.1886
Scheffe 1 2 12.4286* 3.71200 .025 1.2763 23.5809
3 5.0000 3.71200 .618 -6.1523 16.1523
4 16.4286* 3.71200 .002 5.2763 27.5809
2 1 -12.4286* 3.71200 .025 -23.5809 -1.2763
3 -7.4286 3.71200 .286 -18.5809 3.7237
4 4.0000 3.71200 .763 -7.1523 15.1523
3 1 -5.0000 3.71200 .618 -16.1523 6.1523
2 7.4286 3.71200 .286 -3.7237 18.5809
4 11.4286* 3.71200 .043 .2763 22.5809
4 1 -16.4286* 3.71200 .002 -27.5809 -5.2763
2 -4.0000 3.71200 .763 -15.1523 7.1523
3 -11.4286* 3.71200 .043 -22.5809 -.2763


e) Conduct Tukey's Post Hoc Test for the following comparisons:
1 vs. 3: difference = 5.0000 ; significant: No
1 vs. 2: difference = 12.4286 ; significant:  Yes

f) Conduct Scheffe's Post Hoc Test for the following comparisons:
1 vs. 2: test statistic = 12.4286 ; significant:  Yes
2 vs. 4: test statistic = 4.0000 ; significant: No


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