eldo_user

Statistical Experimental Design and Analysis
Example of Analysis Results
==> Response Y[1] : OSCFREQ
==> Initial standard error s0 : 5.8724e+05
Pseudo standard deviation PSE : 3.6619e+05
Signifiance level alpha : 0.05
Critical value
: 2.0525e+00
Main Name Accept/Reject Value t(PSE) P-value
Effect
N4 M(SBSIMP,MUS) *** PASS *** 9.9816e+00 0.001
N27 M(SBSIMN,U1) *** PASS *** 9.8368e+00 0.001
N21 M(SBSIMN,MUS) *** PASS *** 8.9002e+00 0.001
N32 M(SBSIMN,K1) *** PASS *** 7.6022e+00 0.001
N15 M(SBSIMP,K1) *** PASS *** 5.9861e+00 0.001
N10 M(SBSIMP,U1) *** PASS *** 5.7594e+00 0.001
N17 M(SBSIMP,VFB) *** PASS *** 4.6422e+00 0.001
N34 M(SBSIMN,VFB) *** PASS *** 4.4348e+00 0.002
N18 M(SBSIMN,X3U1) *** PASS *** 2.4000e+00 0.03
N11 M(SBSIMP,U0) *** PASS *** 2.1302e+00 0.05
N28 M(SBSIMN,U0) 1.7737e+00 0.09
N31 M(SBSIMN,K2) 1.7069e+00 0.1
N29 M(SBSIMN,MUZ) 1.5284e+00 0.2
N1 M(SBSIMP,X3U1) 1.5215e+00 0.2
N12 M(SBSIMP,MUZ) 1.4868e+00 0.2
N16 M(SBSIMP,PHI) 1.3491e+00 0.2
...
Non-expert users should only consider the central column Accept/Reject. Based on our
experience, the Lenth’s method is not very restrictive. Inactive factors can pass the test. We
suggest that misidentifying an inert factor as active should be less important than missing an
important and active factor.
Multi-Responses
In the case of multi-response problems, a summary of the screening experiments is performed
for each response.
Eldo® User's Manual, 15.3 585