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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.

 MiC Quality offers online courses, including two courses in Statistics, the Primer in Statistics and the Advanced Statistics Course. Try out our courses by taking the first module of the Primer in Statistics free of charge.
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