Transforming Non-normal Data: Proceed with Caution!

Data that follow a distribution that is either not symmetric or that is symmetric but not bell shaped are said to be non-normal.   A common misconception among students is that all data should be normally distributed, and that there is something inherently wrong if their data is not normally distributed.  In fact, data is not […] read more

On August 2nd, 2017, posted in: Articles, Six Sigma by Tags: ,