In: Statistics and Probability
The manager of a computer software company wishes to study the number of hours per week senior executives by type of industry spend at their desktop computers. The manager selected a sample of five executives from each of three industries. At the 0.05 significance level, can she conclude there is a difference in the mean number of hours spent per week by industry?
Banking | Retail | Insurance | |||||||||||||||||
32 | 28 | 30 | |||||||||||||||||
30 | 28 | 28 | |||||||||||||||||
30 | 26 | 26 | |||||||||||||||||
32 | 28 | 28 | |||||||||||||||||
30 | 30 | 30 | |||||||||||||||||
Complete the ANOVA table.
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Following table shows the groups totals:
Banking, G1 | Retail, G2 | Insurance, G3 | |
32 | 28 | 30 | |
30 | 28 | 28 | |
30 | 26 | 26 | |
32 | 28 | 28 | |
30 | 30 | 30 | |
Total | 154 | 140 | 142 |
Following table shows the grand total and sum of squares of values:
G | G^2 | |
32 | 1024 | |
30 | 900 | |
30 | 900 | |
32 | 1024 | |
30 | 900 | |
28 | 784 | |
28 | 784 | |
26 | 676 | |
28 | 784 | |
30 | 900 | |
30 | 900 | |
28 | 784 | |
26 | 676 | |
28 | 784 | |
30 | 900 | |
Total | 436 | 12720 |
Conclusion: There is evidence, at the 0.05 significance level, that there is a difference in the mean number of hours spent per week by industry.