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Paste your measurements and at least one spec limit. Everything is computed here, in this tab — nothing is uploaded.
How to read the numbers
Cp compares your spread to your tolerance and ignores where the process sits. Cpk penalises being off-centre. A large gap between the two means a centring problem, not a variation problem — and centring is usually the cheaper fix.
A Cpk of 1.35 from 20 parts and a Cpk of 1.35 from 300 parts are not the same claim. The confidence interval is what separates them. Read the lower bound: that is the capability your data actually supports.
Below 15 readings the interval is so wide that almost any conclusion fits inside it. This tool refuses to dress that up — it leads with the warning, then shows the arithmetic anyway so you can see why.
Capability describes a process that is in statistical control. If the process drifted while the parts were made, a capability index summarises a distribution that never existed. Check the control chart first, always.