Sigma (σ) is the standard deviation of the process. If you enter an historical value for σ, then Minitab uses the historical value. Otherwise, Minitab uses one of the following methods to estimate σ from the data.

The average moving range, , of length *w* is given by the following formula:

where *MR _{i}* is the moving range for observation

Minitab uses to calculate *S _{mr}*, which is an unbiased estimate of

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

n | number of observations |

w | length of the moving range. The default is 2. |

d_{2}() | value of unbiasing constant d_{2} that corresponds to the value specified in parentheses. |

The median moving range, , of length *w* is given by the following formula:

where w is the number of observations used in the moving range and *MR _{i}* is the
moving range for observation

Minitab uses to calculate *S _{mr}*, which is an unbiased estimate of

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

n | number of observations |

w | length of the moving range. The default is 2. |

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

MSSD stands for the mean of squared successive differences. The square root of the MSSD (SRMSSD) is calculated as follows:

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

d_{i} | difference between the value of observation i and the value of observation i – 1 |

N | number of observations |

c_{4}'(N) | unbiasing constant from a table |

Minitab uses the range of each subgroup, , to calculate , which is an unbiased estimator of *σ*:

where

When the subgroup size is constant, the formula simplifies to the following:

where (Rbar) is the mean of the subgroup ranges, calculated as follows:

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

r_{i} | range for subgroup i |

m | number of subgroups |

d_{2}(·) | value of unbiasing constant d_{2} that corresponds to the value specified in parentheses. |

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

d_{3}(·) | value of unbiasing constant d_{3} that corresponds to the value specified in parentheses. |

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} |