Pp is calculated using the parameter values that you specify or is estimated using maximum likelihood method for a distribution used in the analysis. Minitab calculates the Pp statistic using either the Minitab method (default) or the ISO method, depending on the settings that are selected in

. The following formulas are based on the default tolerance of K = 6, which is 6 standard deviations wide (3 standard deviations on each side of the process mean).Term | Description |
---|---|

Zlsl | Φ^{–1}(p_{1}) |

Zusl | Φ^{–1}(p_{2}) |

Φ^{–1}(p) | p * 100^{th} percentile of a standard normal distribution |

p_{1} | Prob (X ≤ LSL) |

p_{2} | Prob (X ≤ USL) |

X | X follows the distribution used in the analysis |

Term | Description |
---|---|

USL | Upper specification limit |

LSL | Lower specification limit |

X_{0.99865} | The 99.865^{th} percentile for the specified distribution |

X_{0.00135} | The 0.135^{th} percentile for the specified distribution |

The expected number of parts per million that are outside of the specification limits is calculated as follows:

PPM Total (Exp. Overall) = PPM < LSL (Exp. Overall) + PPM > USL(Exp. Overall)

PPM Total (Exp. Overall) = [1,000,000 * F(LSL)]+ [1,000,000 * (1 – F(USL))]

Term | Description |
---|---|

F(X) | The cumulative distribution function (CDF) of the distribution used in the analysis based on estimated or specified parameters |

LSL | Lower specification limit |

USL | Upper specification limit |

PPM | Parts per million |

Benchmark Z statistics for overall capability are calculated by finding the Z value using the standard normal (0,1) distribution for the corresponding statistics.

PPL and PPU are based on the method (ISO or Minitab) used in the analysis. For more information, go to Methods and formulas for overall capability measures in Nonnormal Capability Analysis. The formulas are based on the default tolerance of K = 6, which is 6 standard deviations wide (3 standard deviations on each side of the process mean).

Term | Description |
---|---|

P_{1} | Probability (Observations < LSL) based on the nonnormal distribution used in the analysis and the parameters that you specify (or the parameters that are estimated from the data) |

P_{2} | Probability (Observations > USL) based on the nonnormal distribution used in the analysis and the parameters that you specify (or the parameters that are estimated from the data) |

Φ (X) | Cumulative distribution function (CDF) of a standard normal distribution |

Φ^{–1} (X) | Inverse CDF of a standard normal distribution |