Question
In: Statistics and Probability
Gender Caff_Consumption Stress 1 5 1 1 6 3 2 7 3 1 7 2 1...
| Gender | Caff_Consumption | Stress |
| 1 | 5 | 1 |
| 1 | 6 | 3 |
| 2 | 7 | 3 |
| 1 | 7 | 2 |
| 1 | 5 | 3 |
| 1 | 6 | 1 |
| 1 | 8 | 2 |
| 1 | 8 | 2 |
| 2 | 9 | 1 |
| 2 | 8 | 1 |
| 2 | 9 | 1 |
| 2 | 7 | 2 |
| 2 | 4 | 1 |
| 2 | 3 | 1 |
| 1 | 0 | 1 |
| 2 | 4 | 2 |
| 1 | 5 | 1 |
| 2 | 6 | 2 |
| 1 | 2 | 2 |
| 1 | 4 | 3 |
| 1 | 5 | 3 |
| 2 | 5 | 3 |
| 1 | 4 | 2 |
| 1 | 3 | 2 |
| 1 | 7 | 3 |
| 2 | 8 | 2 |
| 1 | 9 | 2 |
| 1 | 11 | 1 |
| 1 | 2 | 2 |
| 1 | 3 | 1 |
after answer it, Pease write the steps for SPSS to let me do it myself.
1. Identify variables that are tested for Main effects – Are they statistically significant? If so, at what alpha level?
2. Identify variables that are tested for Interactions – Are they statistically significant? If so at what level?
Solutions
Expert Solution
I do using the excel becuase I do not have SPSS which is as similar as excel.
| Anova: Two-Factor Without Replication | ||||||
| SUMMARY | Count | Sum | Average | Variance | ||
| Row 1 | 3 | 7 | 2.333333 | 5.333333 | ||
| Row 2 | 3 | 10 | 3.333333 | 6.333333 | ||
| Row 3 | 3 | 12 | 4 | 7 | ||
| Row 4 | 3 | 10 | 3.333333 | 10.33333 | ||
| Row 5 | 3 | 9 | 3 | 4 | ||
| Row 6 | 3 | 8 | 2.666667 | 8.333333 | ||
| Row 7 | 3 | 11 | 3.666667 | 14.33333 | ||
| Row 8 | 3 | 11 | 3.666667 | 14.33333 | ||
| Row 9 | 3 | 12 | 4 | 19 | ||
| Row 10 | 3 | 11 | 3.666667 | 14.33333 | ||
| Row 11 | 3 | 12 | 4 | 19 | ||
| Row 12 | 3 | 11 | 3.666667 | 8.333333 | ||
| Row 13 | 3 | 7 | 2.333333 | 2.333333 | ||
| Row 14 | 3 | 6 | 2 | 1 | ||
| Row 15 | 3 | 2 | 0.666667 | 0.333333 | ||
| Row 16 | 3 | 8 | 2.666667 | 1.333333 | ||
| Row 17 | 3 | 7 | 2.333333 | 5.333333 | ||
| Row 18 | 3 | 10 | 3.333333 | 5.333333 | ||
| Row 19 | 3 | 5 | 1.666667 | 0.333333 | ||
| Row 20 | 3 | 8 | 2.666667 | 2.333333 | ||
| Row 21 | 3 | 9 | 3 | 4 | ||
| Row 22 | 3 | 10 | 3.333333 | 2.333333 | ||
| Row 23 | 3 | 7 | 2.333333 | 2.333333 | ||
| Row 24 | 3 | 6 | 2 | 1 | ||
| Row 25 | 3 | 11 | 3.666667 | 9.333333 | ||
| Row 26 | 3 | 12 | 4 | 12 | ||
| Row 27 | 3 | 12 | 4 | 19 | ||
| Row 28 | 3 | 13 | 4.333333 | 33.33333 | ||
| Row 29 | 3 | 5 | 1.666667 | 0.333333 | ||
| Row 30 | 3 | 5 | 1.666667 | 1.333333 | ||
| Column 1 | 30 | 41 | 1.366667 | 0.24023 | ||
| Column 2 | 30 | 170 | 5.666667 | 6.367816 | ||
| Column 3 | 30 | 56 | 1.866667 | 0.602299 | ||
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | P-value | F crit |
| Rows | 72.9 | 29 | 2.513793 | 1.070485 | 0.402403 | 1.662901 |
| Columns | 331.8 | 2 | 165.9 | 70.64758 | 2.84E-16 | 3.155932 |
| Error | 136.2 | 58 | 2.348276 | |||
| Total | 540.9 | 89 | ||||
Main effects are not statistically significant but Interactions are statistically significant at 5%
orchestra answered 2 years agoRelated Solutions
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Y
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Test the significance of the correlation coefficient.
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Step 2 Data Set A x 1 2 3 4 5 6 7 y 7 7...
Step 2
Data Set A
x
1
2
3
4
5
6
7
y
7
7
7
9
9
9
10
Data Set B
x
1
2
3
4
5
6
7
8
9
10
11
y
4
6
6
6
8
9
9
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x 2 8 5 9 4 3 9 6 7 8
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0 0 4 5 6 9 9
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The table represent a random sample of 31 test scores taken from
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