Integrating the Choice of Product Configuration With Parameter Design

Cover 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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