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Box Cox Transformation
 

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 yλ 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.

 

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