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ANOVA - Total Sales in Thousands Cases Sum of Squares df Mean Square F p Region 99.615 3 33.205 1.002 0.395 Residuals 3280.333 99 33.135
ANOVA - Total Sales in Thousands |
Cases | Sum of Squares | df | Mean Square | F | p |
Region | 99.615 | 3 | 33.205 | 1.002 | 0.395 | ||||||
Residuals | 3280.333 | 99 | 33.135 |
Note. Type III Sum of Squares |
Post Hoc Comparisons - Region |
Mean Difference | SE | t | p tukey |
1 | 2 | -0.846 | 1.612 | -0.524 | 0.953 | ||||||
3 | -0.759 | 1.612 | -0.471 | 0.965 | |||||||
4 | -2.677 | 1.612 | -1.661 | 0.350 | |||||||
2 | 3 | 0.087 | 1.597 | 0.054 | 1.000 | ||||||
4 | -1.832 | 1.597 | -1.147 | 0.661 | |||||||
3 | 4 | -1.918 | 1.597 | -1.202 | 0.627 |
The management team reviewed the sales from the four regions of the company and would like to know if any of the regions are performing different than any of the others. Given the output above, what conclusions can be made?
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