Enter your data for Individual Distribution Identification

Stat > Quality Tools > Individual Distribution Identification.

Enter your data

Select the option that best describes your data.

Single column

If your data are in a single column of the worksheet, complete the following steps.

  1. Under Data are arranged as, select Single column.
  2. In Single column, enter the column of numeric data that you want to analyze.
  3. In Subgroup size, enter a column that identifies the subgroup for each measurement or enter a number that indicates the subgroup size. Enter a number for subgroups of the same size. For example, if each subgroup contains measurements for five items, enter 5. If you collected data over time without subgroups, use a subgroup size of 1. If you enter a column of subgroup IDs, the subgroup sizes do not need to be equal.
    Note

    Observations within each subgroup should be in adjacent rows of the worksheet. For more information on using columns to define subgroups, go to Using subgroups to assess process capability.

In this worksheet, the Diameter column contains the diameters of the piston rings. The Subgroup ID column identifies the subgroup for each measurement.
C1 C2
Diameter Subgroup ID
74.030 1
74.002 1
74.019 1
73.992 1
73.995 2
73.992 2

Subgroups across rows of

If you have subgroups arranged in rows across several columns of the worksheet, and each row represents a single subgroup, complete the following steps.

Note

If you use this option to enter your data, all subgroups must be the same size. If your subgroups are arranged in rows and the sizes differ, you can enter a missing value symbol "*" in worksheet cells as needed to make all the subgroup sizes the same.

  1. Under Data are arranged as, select Subgroups across rows of.
  2. In Subgroups across rows of, enter the columns of numeric data that you want to analyze.
In this worksheet, the first row of the worksheet contains the diameters of the piston rings in subgroup 1. The second row of the worksheet contains the diameters of the piston rings in subgroup 2, and so on.
C1 C2 C3
Observation 1 Observation 2 Observation 3
74.030 73.995 73.988
74.002 73.992 74.024
74.019 74.011 74.021
73.992 74.004 74.005

Specify distribution and transformations

Specify the distributions and transformations to include in the analysis.
  • Use all distributions and transformations: Fit your data with all 14 parametric distributions and apply the 2 transformations.
  • Specify: Specify one to four distributions or transformations to fit your data.
For information on the Weibull distribution and other distributions used in this analysis, go to Why is Weibull the default distribution for nonnormal capability analysis?. For information on the transformations used in this analysis, go to Data transformations for capability analysis.
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