LimitLine

Free tool · updated 2026-10-23

Cpk calculator

By Nicholas Williford, Lean Six Sigma Black Belt · About LimitLine

Paste your measurements and spec limits to get Cp, Cpk, Pp and Ppk, with a 95% confidence interval for Cpk and the expected parts out of spec. It runs in your browser; your numbers are not uploaded.

What do you have?

How this calculator works

The calculation runs the same code as the LimitLine app, published at /source. When this page is built, it is checked against the NIST/SEMATECH e-Handbook example: USL 20, LSL 8, mean 16 and σ 2 give Cp 1.00 and Cpk 0.67.

Before you trust the number

  1. Check stability first. Cpk assumes a process with one steady σ. If the control chart shows points outside the limits or clear patterns, the Cpk describes nothing in particular. This page doesn't check stability; the button above opens your numbers on a control chart.
  2. Use enough data. With 30 measurements a Cpk of 1.33 has a 95% interval of about ±0.36. See how many parts a Cpk needs.
  3. Look at the shape. The PPM figure relies on the normal curve. Strongly skewed data, such as flatness or runout bounded at zero, need a different method.

Questions

What is a good Cpk?

1.33 is a common minimum for an established process, and 1.67 is often asked for on new or safety-critical characteristics. Below 1.00, expect out-of-spec parts. Your customer or quality plan sets the target.

Why is my Cpk different from Excel or another tool?

Usually because of σ. Excel's STDEV gives the overall σ, which belongs to Ppk, not Cpk. Tools that estimate within σ from subgroups (R̄ / d2 or a pooled s) also give different results from a moving range. Check which σ each tool uses.

Can I use only one spec limit?

Yes. Leave the other box empty. Cpk is then the one side you have (Cpu or Cpl), and Cp isn't defined.

What's the difference between Cpk and Ppk?

Cpk shows what the process could do if it stayed as steady as it is from one part to the next. Ppk shows what it actually did. A Ppk well below Cpk means the process drifts or shifts over time. The Cp and Cpk guide walks through both with NIST data.

Sources

  1. NIST/SEMATECH e-Handbook of Statistical Methods, §6.1.6 What is Process Capability?
  2. A. F. Bissell (1990), “How Reliable Is Your Capability Index?”, Applied Statistics 39(3), 331–340
  3. NIST/SEMATECH e-Handbook, §6.3.2.2 Individuals Control Charts (the example data)