Johnson Transformation
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Stat > Quality Tools > Johnson Transformation

You can try to transform your data so it follows a normal distribution. Johnson transformation optimally selects a function from three families of distributions of a variable, which are easily transformed into a standard normal distribution. These distribution are labeled as SB, SL, and SU, where B, L, and U refer to the variable being bounded, lognormal, and unbounded. Minitab displays normal probability plots for original and transformed data and their p-values for comparison. You can also store the transformed data for further analysis.

If the Johnson transformation does not adequately transform your data, the Box-Cox transformation may work better; use whichever normal transformation method works better for your data.

Dialog box items

Data are arranged as

Single column: Choose if data are in one column, then enter a column.

Subgroups across rows of: Choose if subgroups are arranged in rows across several columns, then enter the columns.

Store transformed data in

Single column: Enter a storage column for the transformed data.

Subgroups across rows of: Enter storage columns for the transformed data, where the subgroups are arranged in rows across several columns.

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