eldo_user

Statistical Experimental Design and Analysis
Example of Analysis Results
DEX Mean Table
--------------
Response Y : OSCFREQ
==> Horizontal axis: the mean response for a given setting (- or +)
of a factor, for each of the 34 factors.
Vertical axis: the 34 factors and the two settings (- and +)
within each factor.
Value at nominal point : 4.8667e+07
Mean Value
: 4.8667e+07
Factor Name Sign of Magnitude
effect (percent / exact / cumulative)
N4 M(SBSIMP,MUS) [+] 13.0% 3.6552e+06 13.0%
N27 M(SBSIMN,U1) [-] 12.8% 3.6022e+06 25.8%
N21 M(SBSIMN,MUS) [+] 11.6% 3.2592e+06 37.3%
N32 M(SBSIMN,K1) [-] 9.9% 2.7839e+06 47.2%
N15 M(SBSIMP,K1) [-] 7.8% 2.1921e+06 55.0%
N10 M(SBSIMP,U1) [-] 7.5% 2.1091e+06 62.5%
N17 M(SBSIMP,VFB) [-] 6.0% 1.6999e+06 68.5%
N34 M(SBSIMN,VFB) [-] 5.8% 1.6240e+06 74.3%
N18 M(SBSIMN,X3U1) [+] 3.1% 8.7887e+05 77.4%
N11 M(SBSIMP,U0) [-] 2.8% 7.8008e+05 80.2%
...
N23 M(SBSIMN,X2U0) [-] 0.0% 1.5643e+03 100.0%
N9 M(SBSIMP,X2MZ) [-] 0.0% 7.2275e+02 100.0%
The last column gives the following information: almost 70% of the response’s variability is
explained with the variations of the eight factors M(SBSIM*,MUS), M(SBSIM*,U1),
M(SBSIM*,K1) and M(SBSIM*,VFB) where the ‘*’ character means ‘P’ positive or ‘N” for
negative.
Formal Test of Significance
A formal test of significance is based on the Lenth’s method. This method is usually employed
for unreplicated experiments, where there are no replicated runs and no dispersion modeling is
investigated.
A detailed description of this algorithm can be found in [1].
This quantitative analysis is given as follows:
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Eldo® User's Manual, 15.3