Stat > Quality Tools > Capability Sixpack > Between/Within
Use to produce process capability report when your data follow a normal distribution. Use this feature when you suspect that you may have both between-subgroup and within-subgroup variation.
To confirm process stability, the report includes:
To confirm normality, the report includes:
To assess capability, the report includes:
You can also use this feature to correct nonnormality in your data using a Box-Cox transformation, then perform capability on the transformed data.
A model that assumes that the data are from a normal distribution suits most process data. If your data are very skewed, see Nonnormal data.
Single column: Choose if data is in one column. Enter a column.
Subgroup size (use a constant or an ID column): Enter the subgroup size (for equal-size subgroups) or a column of subscripts (for unequal-size subgroups). If the subgroups are not equal, the control limits on the R chart or S chart will not be straight lines but will vary with the subgroup size.
Subgroups across rows of: Choose if subgroups are arranged in rows across several columns. Enter the columns.
Lower spec: Enter the lower specification limit.
Upper spec: Enter the upper specification limit.
Note |
You must enter a lower or upper specification limit, or both. |
Historical mean (optional): Enter a value for the mean of the population distribution if you have a known process parameter or an estimate obtained from past data. If you do not specify a value for the mean, it is estimated from the data.
Historical Standard Deviations
Within subgroup: (optional): Enter a value for the within-subgroup standard deviation of the population distribution if you have a known process parameter or an estimate obtained from past data. If you do not specify a value for sigma, it is estimated from the data.
Between subgroups: (optional): Enter a value for the between-subgroup standard deviation of the population distribution if you have a known process parameter or an estimate obtained from past data. If you do not specify a value for sigma, it is estimated from the data.