With Data, Anything Can Happen!

In article 73 in this series, I discussed the issue of whether to transform data.    Students of Six Sigma often think (incorrectly) that there is something inherently wrong with their data if it is not normally distributed.  We should always strive to understand why the data is distributed the way it is and recognize that […] read more

On April 10th, 2019, posted in: Project Management by Tags: ,

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: ,