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Mahr GmbH • Digimar 817 CLM
Lo. relia. : Lower reliability limit of the mean value. Shows the limits within which the mean value of the
population lies. The reliability is 95%.
Sigma : Standard deviation. The mean root square deviation was computed on the basis of n-1
workpieces.
Up. relia. : Upper reliability limit of the standard deviation. Shows the limits within which the standard
deviation of the population lies. The reliability is 95%.
Lo. relia. : Lower reliability limit of the standard deviation. Shows the limits within which the standard
deviation of the population lies. The reliability is 95%.
Range : Range, i.e. difference between maximum and minimum measuring value.
Number of pcs : Number of workpieces matching the selection criteria.
Min-/Maximum : Smallest/ largest measured value.
Cm : Machine capability index, Cm = (Up.Tol.-Low.Tol.) / 6 sigma. The machine capability index
assumes a standard distribution.
Cmk : Machine capability index with respect to the mean value’s situation relative to the tolerance
limits. The Cmk value should be larger than 1.33. The machine capability index assumes a
standard distribution.
+3 Sigma : 3 standard deviation values are added to the mean value. Indicates the upper value limit of a
normal distribution above which less than 0.2% of all sizes lie.
-3 Sigma : 3 standard deviation values are subtracted from the mean value. Indicates the lower value limit
of a normal distribution below which less than 0.2% of all sizes lie.
The machine capability index only provides useful information if a homogeneous lot was checked in a preliminary
data collection run (e.g. for computing the control limits).
Information
Data : Name of the evaluated measuring programs.
Workpiece : Number of workpieces measured with this program
No. errors : Number of workpieces measured with this program and classified as „Rejects“.
Total weighting : Sum of the weighting factors of all classes.
Attrib. data only : Selection criteria to which the workpieces were subjected.
Error : Name of the error or the measuring function.
Class : The number of the error class of x selected classes.
Step No. : The number of the program step.
No. errors : The number of errors falling into this class.
% : The frequency of this error with respect to all errors (expressed as percentage).
Weight : The weighting factor assigned to this class. The weights of the classes are only displayed
if function „Display weighted Pareto chart“ is selected.
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