Statistical Significance and Practical Significance

When we work on process improvement, we need to check our results to see if the output of the process was changed for the better.  There are two ways to evaluate the results, practical significance and statistical significance.  We need to verify that the results are significant in both respects.  At the risk of stating […] read more

Common Misconceptions about Six Sigma

Our online Green Belt program includes an assignment where students are introduced to Six Sigma by reading a lecture, reading Chapter One in the text, and viewing several videos.  They are then challenged to explain how the readings and videos either reinforced or changed their preconceived notion of what Six Sigma is, based on what […] read more

On July 5th, 2018, posted in: Articles, Six Sigma by Tags: ,

Are we solving the right problem?

Students in our Green Belt course analyze and comment on a case study that deals with products that are returned by customers.  They are challenged to discuss what was done well in the case and what could have been done better. The products being returned for credit are data storage systems that are suspected of […] read more

Don’t like the data? Throw it out!

One of the first tasks our Black Belt students are asked to do when completing a project is collect data over time and create control charts for the primary output metric.  The purpose of these control charts is to establish baseline performance, and to determine if the process is stable. One of my students is […] read more