The standard deviation (also called sigma or σ) that you use in a power and sample size analysis depends on whether you already collected the data.

If you have not collected the data, use an estimate of the standard deviation for the population. Base your estimate on related research, design specifications, pilot studies, subject-matter knowledge, or similar information.

If you already collected and analyzed the data, use a value from the analysis results as shown in the following table.

###### Note

Type of analysis that you performed | Value to use for standard deviation |
---|---|

1-sample t or 1-sample Z | Standard deviation of the sample |

2-sample t | Pooled standard deviation |

Paired t | Standard deviation of the paired differences |

One way ANOVA, 2-level factorial design, or Plackett-Burman design | Mean square root of the mean square of the error (MSE) |

If you would like to specify the difference (effects) in standardized (sigma) units, enter 1 in Standard deviation.