Transform your data to fit a normal distribution by applying the Johnson transformation, and indicate whether you want to store the transformed data in the worksheet.
Use the Johnson transformation if your nonnormal data contain negative values (or 0) or if the Box-Cox transformation is not effective. The Johnson transformation function is more complicated than Box-Cox, but is very powerful for finding an appropriate transformation.
Note
Minitab performs the Johnson transformation when you select Use all distributions
and transformations on the main dialog box.
- Johnson
Transformation
-
- P-Value to select best
fit
-
Enter a value between 0 and 1. The value that you enter defines the significance level for a normality test of the data before and after the transformation. A higher value makes the criteria for normality more rigorous. A lower value makes the criteria for normality less stringent.
- Store transformed data
in
-
- Single
column
- Enter a single column of the worksheet to store the transformed values in.
- Subgroups across rows
of
- If you have subgroups arranged in rows across several columns, enter the columns in the worksheet to store the transformed values in.