SPC Statistics Styles

The SPC Statistics Style determines which statistical measures displays on control charts generated during an SPC analysis. Because these charts are depicted as images, the statistics cannot be scrolled within the interface. Therefore, the statistics selected for display are optimized to fit the available space and are tailored to the specific chart type. For example, a Distribution chart displays more statistics than a Combo chart because of the larger display area.

To view and configure SPC tab styles, navigate to Configuration > Assets > SPC > SPC Statistics Styles.

This table lists the SPC statistics and the categories:

SPC Statistics Category Relevant To Description
# Defects Statistics Attributes Total number of defects identified during analysis.
# Ignored Calculations The total number of samples excluded from the data set.
# Samples Statistics Variables The total number of samples included in the analysis.
# Subgroups Calculations The total number of fully analysed subgroups.
Actual Sigma Statistics Variables The actual standard deviation of all values within the analysis range.
Attr Study Type Calculations Attributes The type of study attribute used.
Calculation Mode Calculations Variables The calculation mode used for calculating sigma.
Calculation style Calculations The name of the calculation style applied.
CAM Indices Variables CNOMO Average Aptitude Coefficient used to assess process capability.
CAP Indices Variables The Process Aptitude Coefficient used to assess process efficiency.
Capability Status Indicates if process capability meets the defined threshold.
cBar Indices Attributes The mean count of defects.
Cp Indices Variables Process capability index: (USL – LSL) ÷ 6σ (estimate).
Cpk Indices Variables Process capability index: Minimum of (USL – Mean) ÷ 3σ and (Mean – LSL) ÷ 3σ (estimate).
CpkL Indices Variables Lower specification referenced capability index: (Mean – LSL) ÷ 3σ (estimate).
CpkU Indices Variables Upper specification referenced capability index: (USL – Mean) ÷ 3σ (estimate).
Cpm Indices Variables Process capability index for one-sided tolerances.
CR Indices Variables Capability index calculated as 1 ÷ Cp.
Di Statistics Variables Instantaneous dispersion.
Estimated Sigma Statistics Variables Sigma value used in Cp/Cpk calculations, based on XR, XS, or selected method.
Homogeneity Status Indicates if data passed the homogeneity test.
Kurtosis Statistics Variables Index indicating the peak of the distribution.
Last violation occured at Status The latest date and time of control or specification violation.
LSL Specifications Variables The lower specification limit.
Maximum Value Statistics Variables The maximum sample value identified in the analysis range
Max-Min Statistics Variables The difference between the maximum and minimum values in the analysis range.
Mean X Statistics Variables The mean value of all individual samples.
Median Statistics Variables The median value in the distribution of values in the analysis range.
Minimum Value Statistics Variables The minimum sample value identified in the analysis range.
Moving Subgroup Size Calculations Variables The number of successive samples grouped for moving analysis.
nBar Indices Attributes Average number of items inspected associated with the SPC.
Nom Specifications Variables The specified nominal value within the defined limits.
npBar Indices Attributes Average number of non-conforming items associated with the SPC.
pBar Indices Attributes Average proportion of non-conforming items inspected associated with the SPC.
Pp Indices Variables Process performance index: (USL – LSL) ÷ 6σ (actual).
Ppk Indices Variables Process performance index: Minimum of (USL – Mean) ÷ 3σ and (Mean – LSL) ÷ 3σ (actual).
PpL Indices Variables Lower spec referenced capability index used in Ppk.
PpU Indices Variables Upper spec referenced capability index used in Ppk.
Proportion Conforming Indices Attributes Percentage of items meeting required standards.
RBar Statistics Variables The average range value from all subgroups.
RwBar Statistics Variables The average range calculated from all subgroups within each piece.
sBar Statistics Variables The average standard deviations from all subgroups.
Skewness Statistics Variables An index reflecting distribution asymmetry.
Specification Type Specifications Variables The type of specification applied in capability assessment.
Stability Status Indicates whether any violation of control occurred during analysis.
Study Type Calculations The type of SPC study applied.
Subgroup Size Calculations Variables The maximum number of samples in any subgroup.
Sum X Statistics Variables Total of all individual sample values.
swBar Statistics Variables Average of the standard deviations calculated within each subgroup for individual pieces.
Total Failures Statistics Attributes The total number of defect failures.
uBar Indices Attributes The average percentage of detected non-conformities.
USL Specifications Variables The upper specification limit.
Xbb Statistics Variables Average value or averages of subgroups.
Xbb+3 Statistics Variables Average or subgroup average plus 3 estimated standard deviations.
Xbb+4 Statistics Variables Average or subgroup averages plus 4 estimated standard deviations.
Xbb+5 Statistics Variables Average or subgroup averages plus 5 estimated standard deviations.
Xbb+6 Statistics Variables Average or subgroup averages plus 6 estimated standard deviations.
Xbb-3 Statistics Variables Average or subgroup averages minus 3 estimated standard deviations.
Xbb-4 Statistics Variables Average or subgroup averages minus 4 estimated standard deviations.
Xbb-5 Statistics Variables Average or subgroup averages minus 5 estimated standard deviations.
Xbb-6 Statistics Variables Average or subgroup averages minus 6 estimated standard deviations.
Xbb-Nom Statistics Variables Difference between mean or subgroup means and nominal value.
Zl Indices Variables Statistical index: (Mean – LSL) ÷ σ (estimate).
Zu Indices Variables Statistical index: (USL – Mean) ÷ σ (estimate).