Oxnard Petro, Ltd., has three interdisciplinary project
development teams that function on an ongoing basis. Team members
rotate from time to time. Every 4 months (three times a year) each
department head rates the performance of each project team (using a
0 to 100 scale, where 100 is the best rating). Are the main effects
significant? Is there an interaction?
Year | Marketing | Engineering | Finance |
2007 | 90 | 69 | 96 |
84 | 72 | 86 | |
80 | 78 | 86 | |
2009 | 72 | 73 | 89 |
83 | 77 | 87 | |
82 | 81 | 93 | |
2011 | 92 | 84 | 91 |
87 | 75 | 85 | |
87 | 80 | 78 | |
(b) Fill in the missing data. (Round your Table of
Means values to 1 decimal place, SS and F values
to 2 decimal places, MS values to 3 decimal places, and
p-values to 4 decimal places.)
Table of Means | ||||
Factor 2 (Department) | ||||
Factor 1 (Year) | Marketing | Engineering | Finance | Average |
2007 | ||||
2009 | ||||
2011 | ||||
Total | ||||
Source | SS | df | MS | F | p-value |
Factor 1 (Year) | |||||
Factor 2 (Department) | |||||
Interaction | |||||
Error | |||||
Total | |||||
(b) Fill in the missing data. (Round your Table of Means values to 1 decimal place, SS and F values to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) FActor 1= Year Factor 2= Departemnt
Means | ||||
Marketing | Engineering | Finance | ||
2007 | 84.7 | 73.0 | 89.3 | 82.3 |
2009 | 79.0 | 77.0 | 89.7 | 81.9 |
2011 | 88.7 | 79.7 | 84.7 | 84.3 |
84.1 | 76.6 | 89.7 | 82.9 |
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