A random sample of 6 factory workers were asked to spend one week each, trying one of 3 assembly methods. The number of items | |||||||||||
they produced during each week was recorded. Here are the results: | |||||||||||
Method 1 | Method 2 | Method 3 | |||||||||
Worker 1 | 15 | 15 | 18 | ||||||||
Worker 2 | 14 | 14 | 14 | ||||||||
Worker 3 | 11 | 10 | 15 | ||||||||
Worker 4 | 12 | 13 | 17 | ||||||||
Worker 5 | 13 | 16 | 16 | ||||||||
Worker 6 | 13 | 13 | 13 | ||||||||
At the .01 level of significance (alpha = .01) test whether there is a difference in the methods. | |||||||||||
Which one appears to result in the highest production level? |
Anova: Two-Factor Without Replication | ||||||
SUMMARY | Count | Sum | Average | Variance | ||
worker 1 | 3 | 51 | 17 | 3 | ||
worker2 | 3 | 42 | 14 | 0 | ||
worker3 | 3 | 36 | 12 | 7 | ||
worker4 | 3 | 42 | 14 | 7 | ||
worker5 | 3 | 45 | 15 | 3 | ||
worker6 | 3 | 39 | 13 | 0 | ||
method 1 | 6 | 78 | 13 | 2 | ||
method 2 | 6 | 84 | 14 | 7.6 | ||
method 3 | 6 | 93 | 15.5 | 3.5 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Rows | 44.5 | 5 | 8.9 | 4.238095 | 0.024964 | 3.325835 |
Columns | 19 | 2 | 9.5 | 4.52381 | 0.039884 | 4.102821 |
Error | 21 | 10 | 2.1 | |||
Total | 84.5 | 17 |
F stat for method = 4.52
p value = 0.039
p avlue < 0.05,so reject Ho
there is difference in methods
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method 3 appears to result in the highest production level
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