A **c chart** is a type of control chart that shows how many defects or nonconformities are in samples of constant size, taken from a process (Misra, 2008).

## Formulas

The c chart formulas are (Doty, 1996):

- Number of defects per unit c = Σc / Σn = Σc / m
- Upper control limit (UCL) = c + 3√c
- Lower control limit (LCL) = c – 3√c

Where:

- Σ is summation notation,
*n*is the sample size,*m*is the number of subgroups.

## U Chart vs C Chart

Both the u chart and the c chart are used to control defects, and the two charts differ only slightly; The c chart controls **actual number of defects **per unit chart, while the u chart controls the **average number of defects** per unit chart. The formulas for creating the two charts are identical, except with a c chart that there’s no need to divide by the total number of items in the sample, *n *.

**A c chart can only be used if the sample size remains constant.** If sample sizes aren’t constant, use a u chart instead (Misra, 2008). Theoretically, a p chart doesn’t require a fixed sample size either, but those charts have a different purpose (p charts show proportions and are only used for “pass/fail” inspection).

## References

“Counts Control Charts”. NIST/Sematech Engineering Statistics Handbook. National Institute of Standards and Technology. Retrieved June 15, 2020.

Doty, L. Statistical Process Control. 1996. Industrial Press.

Misra, K. Handbook of Performability Engineering, 2008. Springer.

C Chart by DanielPenfield / CC BY-SA (https://creativecommons.org/licenses/by-sa/3.0).

Montgomery, D. Introduction to Statistical Quality Control. Hoboken, New Jersey: John Wiley & Sons, Inc. p. 289. ISBN 978-0-471-65631-9.

**CITE THIS AS:**

**Stephanie Glen**. "C Chart: Definition, Formulas" From

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