The Box Cox Transformation is used to take a data set that does not conform to a normal distribution and apply a transform such that the transformed data are normal.
The Box Cox transformation is based on y^{λ} where λ is selected to minimize the standard deviation of the standardized transformed variable. The value of λ is found by trying all reasonable values and selecting the best.
The Box Cox transformation can be used to calculate the process capability of data that do not conform to a normal distribution.
