Problem4 (Use the Formula sheet and the Tables to answer this question, You should not use Mega-Stat)
The output below represents Descriptive statistics and ANOVA a random samples of six students in 3 schools produced the following GMAT scores
To test the claim that there are significant differences between the averages of 3 GMAT populations scores
Descriptive statistics |
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|
School 1 |
School 2 |
School 3 |
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count |
6 |
6 |
6 |
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mean |
646.67 |
606.67 |
523.33 |
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sample variance |
2,266.67 |
4,746.67 |
1,266.67 |
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sample standard deviation |
47.61 |
68.90 |
35.59 |
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minimum |
580 |
510 |
490 |
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maximum |
710 |
700 |
590 |
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range |
130 |
190 |
100 |
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normal curve GOF |
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p-value |
.4142 |
.4142 |
.1573 |
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chi-square(df=1) |
0.67 |
0.67 |
2.00 |
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E |
1.50 |
1.50 |
1.50 |
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O(-0.67) |
1 |
2 |
1 |
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O(+0.00) |
2 |
1 |
3 |
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O(+0.67) |
1 |
2 |
1 |
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O(inf.) |
2 |
1 |
1 |
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One factor ANOVA |
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|
Mean |
n |
Std. Dev |
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646.7 |
6 |
47.61 |
School 1 |
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606.7 |
6 |
68.90 |
School 2 |
|||||||
523.3 |
6 |
35.59 |
School 3 |
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|
592.2 |
18 |
72.32 |
Total |
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ANOVA table |
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Source |
SS |
df |
MS |
F |
p-value |
|||||
Treatment |
47,511.11 |
2 |
———- |
—— |
.0032 |
|||||
Error |
41,400.00 |
—— |
2,760.000 |
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Total |
88,911.11 |
17 |
|
|
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Tukey simultaneous comparison t-values (d.f. = 15) |
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School 3 |
School 2 |
School 1 |
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523.3 |
606.7 |
646.7 |
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School 3 |
523.3 |
|
|
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School 2 |
606.7 |
2.75 |
|
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School 1 |
646.7 |
4.07 |
1.32 |
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critical values for experimentwise error rate: |
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0.05 |
2.60 |
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0.01 |
3.42 |
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Use the above output to answer the following questions:
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