Integrating the Choice of Product Configuration With Parameter Design
Integrating the Choice of Product Configuration With Parameter Design
Massimo De Falco
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000 42. 63 % C 1 0. 018 0. 018 5. 132 0. 004 2. 27 % Dl 1 0. 174 0. 174 50. 169 0. 000 26. 96 % D3 1 0. 060 0. 060 17. 301 0. 000 8. 94 % AD2 1 0. 005 0. 005 1. 576 0. 223 0. 32 % AD3 1 0. 011 0. 011 3. 073 0. 094 1. 14% BDl 2 0. 010 0. 005 1. 444 0. 258 0. 49 % CD2 1 0. 005 0. 005 1. 491 0. 235 0. 27 % Residual 22 0. 076 0. 003 17. 00 % Total 31 0. 631 100. 00 % Table 4c. Fin?! Anova t^ble w th error pooled. Source dof SS MS F p-Value n A 0. 273 0. 273 73. 229 0. 000 42. 59 % C 0. 018 0. 018 4.... 773 0. 038 2. 22% Dl 0. 174 0. 174 46. 661 0. 000 26. 92 % D3 0. 060 0. 060 16. 091 0. 000 8. 90 % AD3 0. 011 0. 011 2. 858 0. 103 1. 10% Residual 26 0. 097 0. 004 18. 28 % Total 31 0. 631 100. 00 % 1 SS = Sum of Squares, MS = Mean Square; F = MS/MS Residual; FI = Percent Contribution. 17 Also supplied in the table is the p-Value, known as "probability value", which gives the smallest significance level at which the null hypothesis can be rejected. The smaller the p-value, the higher the chances that a factor or interaction is significant.
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