Specifications

49
Planning data
• Number of values
• Y-units
• Nominal value resolution R
• Add chromatogram bitmap
• Multiple injections possible
Output settings
All data are displayed
Ring experiment
Ring experiments are used to
prove that a method can be trans-
ported to an entirely different
location (other site, company etc.)
and that it delivers good results. A
ring experiment can be seen as a
more general robustness. Figure
35 shows the planning dialog of
the checkpoint “Ring experiment”.
Planning data
• Number of rows ( one row for
one lab)
• Y-units
• Checkmark for same number of
values per lab
• Multiple injections possible
Output settings
• Neumann trend test
• Dixon or Grubbs test for
outliers
• Variance homogeneity
• Repeatability limit
• Reproducibility limit
• Error of result
• Range of confidence
(repeatability conditions)
• Range of confidence
(reproducibility conditions)
All output settings are preconfig-
ured during installation to useful
defaults. As long as you do not
have the need to enable special
settings, there is no need to
change anything.
Figure 34
Planning dialog of checkpoint “Selectivity”
Figure 35
Planning dialog of checkpoint “Ring Experiment”.