The process standard deviation is also called sigma, or *σ*. If you enter an historical value for sigma, then Minitab uses the historical value. Otherwise, Minitab uses one of the following methods to estimate sigma from the data.

If you do not use an unbiasing constant, then the Sbar is the mean of the subgroup standard deviations:

If you use the unbiasing constant, c_{4}(*n*_{i}), then Sbar is calculated as follows:

When the subgroup size is constant, Sbar is:

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

c_{4} (n)_{i} | value of the unbiasing constant c_{4} that corresponds to the value that is specified in parentheses. |

S_{i} | standard deviation of subgroup i |

m | number of subgroups |

The pooled standard deviation (*S _{p}*) is given by the following formula:

When the subgroup size is constant, *S _{p}* can also be calculated as follows:

By default, Minitab applies the unbiasing constant, c_{4}(), when you use the pooled standard deviation to estimate *σ*:

When the subgroup size is constant, the unbiased *S*_{p} can also be calculated as follows:

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

x_{ij} | j^{th} observation in the i^{th} subgroup |

mean of subgroup i | |

n_{i} | number of observations in subgroup i |

μ_{v} | mean of the subgroup variances |

c_{4}(·) | value of the unbiasing constant c_{4} that corresponds to the value that is specified in parentheses. |

d | degrees of freedom for S, given by the following formula:
_{p} |

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

Γ() | gamma function |