Within and Overall Process Capability
Compare specification width with pooled within-subgroup and overall sample variation while keeping the two estimates distinct.
Loading tool…
How to use Within and Overall Process Capability
Within-subgroup variance pools centered subgroup squared deviations over their combined sample degrees of freedom. Overall variance uses all observations about their overall mean. Cp/Cpk use the within estimate; Pp/Ppk use the overall estimate, and centering distances are calculated after an origin shift.
- Enter subgroup measurement matrix json, lower specification limit, upper specification limit.
- Choose the stated convention and check the units and supported model.
- Calculate, inspect the result, then copy or download it.
Good to know
- 2–100 rationally selected subgroups of 2–50 observations; at most 1000 total. Finite numeric magnitudes are at most 1e9 and nonzero magnitudes at least 1e-12. Both variation estimates must be positive; specification limits must increase. No bias correction, confidence interval, defect-rate prediction or pass/fail threshold. Stable approximately normal independent data and meaningful subgroup design are assumptions, not verified conclusions. Small samples can make indices unreliable.
- Local calculation only; no input persistence or external lookup. Text/JSON is limited to 30000 characters and output to 1000000 characters. Numeric model inputs and precision/work limits are stated on this page. Approximate JSON numbers retain full stored values; exact arithmetic outputs retain decimal or fraction strings. Unsupported states fail explicitly.
Common questions
Why can Cp and Pp differ?
They use different variability estimates. Subgroup mean shifts contribute to the overall sample variance but are removed when estimating variation within each subgroup. Neither index proves that the subgroup design or stability assumptions are appropriate.
Is the input uploaded or saved?
No. The tool calculates inside this browser tab and provides a local download; it does not persist your input.
Keep going with related tools
All math →Individuals Process Control Workbench
Calculate an individuals chart from a declared baseline or supplied target and flag exact three-sigma limit crossings.
MathStandard Deviation Calculator
Measure spread using sample or population variance and standard deviation for a numeric list.
MathNormal Distribution Calculator
Find a normal cumulative probability, upper tail, or inverse quantile with a supplied mean and deviation.
CalculatorsOEE Production Loss Breakdown
Reconcile planned time, downtime, ideal cycle time and good counts into an exact OEE loss breakdown.