Cp Cpk % out of tolerance
To check if the data set is according the specification.
Cp (Process capability if centered)
Calculates the Cp value of a dataset, and is only calculated if there min and max tolerance are available.
Formula

The process capability when the if the process is centered between the specification limits. With a higher Cp value the data set is better within tolerance.
Cpk (Process capability)
Calculates the Process capability value of a dataset.
Formula

With a higher Cpk value the data set is better within tolerance.
| Cpk | sigma level | % out of tolerance | PPM out of tolerance |
| 0.33 | 1 | 31.73 | 317310.508 |
| 0.66 | 2 | 4.55 | 45500.264 |
| 1.00 | 3 | 0.27 | 2699.796 |
| 1.33 | 4 | 0.01 | 63.342 |
| 1.66 | 5 | 0.0001 | 0.573 |
| 2.00 | 6 | 0.0000002 | 0.002 |
% out of tolerance
Calculates how much % of the data set is statistical out of tolerance. Below 0.1% the value is displayed in PPM (Parts Per Million).
Formula

calculate the

value out of the t distribution.

calculate the

value out of the t distribution.
% out of tolerance is
Legend

=
Mean
s =
STDEV
USL = Upper specification limit
LSL = Lower specification limit
sigma level =
http://en.wikipedia.org/wiki/Three_sigma_rule
Example
From dataset in column A the CP is 1.2, Cpk 1.05 and statistical is 871 PPM out of tolerance, this is visible in the rows:
Cp, Cpk and % out of tol of the result array. The values will be calculated with the tolerance borders in
Max Tol. and
Min Tol.
External links