In a quality control test of parts manufactured at Dabco Corporation, an engineer sampled parts produced on the first, second, and third shifts. The research study was designed to determine if the population proportion of good parts was the same for all three shifts. Sample data follow.
Production Shift
Quality | First | Second | Third |
Good | 285 | 368 | 176 |
Defective | 15 | 32 | 24 |
b. If the conclusion is that the population proportions are not all the same, use a multiple comparison procedure to determine how the shifts differ in terms of quality? Round Pi, Pj, and difference to two decimal places.
Comparison | pi | pj | Difference | ni | nj | Critical Value (to 4 decimals) |
Significant Diff > CV |
1 vs 2
1 vs 3
2 vs 3
p̅1=285/300 = | 0.95 |
p̅2=368/400 = | 0.92 |
p̅3=176/200 = | 0.88 |
X2 = | 5.991 (for 0.05 level and 2 degree of freedom) |
As Criitcal value =√X2*√(p̅1*(1-p̅1)/n1+p̅2*(1-p̅2)/n2) |
b)
critical val | |||||||
Comparison | pi | pj | |abs diff| | ni | nj | value | significant diff >CV |
1 vs 2 | 0.95 | 0.92 | 0.03 | 300 | 400 | 0.0453 | not significant difference |
1 vs 3 | 0.95 | 0.88 | 0.07 | 300 | 200 | 0.0641 | significant difference |
2 vs 3 | 0.92 | 0.88 | 0.04 | 400 | 200 | 0.0653 | not significant differenc |
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