This module computes the capability index, cp and the performance index, pp, based on data and user-specified limits. Additional values, like ARL are given as well. The module allows for one-sided specifications as well as for asymmetric (non-normal) distributions.
Capability Analysis - Pdf manual
Protocol Text Output:
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Capability and performance |
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for normal distribution |
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Task name : |
Sheet36 |
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Target value: |
5 |
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Specification limits |
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LSL |
2 |
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USL |
8 |
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Limit CP |
1 |
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Performance indices |
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Arithmetic average |
4.477982955 |
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Standard deviation |
0.787465729 |
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+/- 3sigma |
2.115585768 |
6.840380141 |
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Z-score |
2.115585768 |
6.840380141 |
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Index |
Value |
Lower limit |
Upper limit |
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Pp |
1.269896534 |
0.911067555 |
1.626837908 |
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Ppk |
1.048927322 |
0.745807333 |
1.352047311 |
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Ppm |
1.05845054 |
0.77692402 |
1.338514378 |
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Capability indices |
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Arithmetic average |
4.477982955 |
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Standard deviation |
0.693145026 |
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+/- 3sigma |
2.398547878 |
6.557418031 |
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Z-score |
2.398547878 |
6.557418031 |
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Index |
Value |
Lower limit |
Upper limit |
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Cp |
1.442699526 |
1.035042379 |
1.848212209 |
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Cpk |
1.191661611 |
0.847294136 |
1.536029087 |
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Cpm |
1.15243491 |
0.866849439 |
1.436572065 |
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Lower limit |
Upper limit |
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Out of SL probability |
0.00082539 |
3.86E-06 |
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Out of SL probability % |
0.082539004 |
0.000386376 |
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Out of SL probability (PPM) |
825.3900449 |
3.863762057 |
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Out of SL probability |
0.000829254 |
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Out of SL probability % |
0.082925381 |
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Out of SL probability PPM |
829.253807 |
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ARL |
1205.903418 |
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Cpk for asymetric data |
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Sample size |
24 |
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Corrected average |
4.524256808 |
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Target value |
5 |
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Limit CP |
1 |
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LSL |
USL |
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Specification limits |
2 |
8 |
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Out of SL probability |
0.005225866 |
6.86E-10 |
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Out of SL probability % |
0.522586584 |
6.86E-08 |
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Out of SL probability (PPM) |
5225.865843 |
0.000685664 |
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Out of SL probability |
0.005225867 |
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Out of SL probability % |
0.522586653 |
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Out of SL probability PPM |
5225.866528 |
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ARL |
191.3558248 |
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Cpk |
0.8535048 |
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Limits Cpk |
0.606858192 |
1.100151407 |
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Graphical
Output:
Cpk for asymmetical data:
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QC-Expert 
