Estimating Population Parameters from Samples – Point Estimates and Confidence Intervals

In statistics, a data sample is collected or selected from a larger population.  The population includes all of the data that are of interest.   Populations are often so large that it is impossible or impractical to collect data about the entire population.  We therefore rely on samples to make inferences or estimates about the population.  […] read more

On September 8th, 2015, posted in: Articles, Six Sigma by Tags: ,

Building a Six Sigma Organizational Infrastructure

Successful implementation of Six Sigma requires people who are trained for and capable of filling a number of key roles in the organization.   These roles typically include Executive, Champion, Project Sponsor, Master Black Belt, Black Belt, Green Belt and Yellow Belt. The Executives are the senior leaders responsible for the vision, mission, strategies and policies […] read more

On August 27th, 2015, posted in: Six Sigma by Tags: ,

Designed Experiments – A High Level Introduction

In an earlier article, I discussed the transformation function Y = f(X), where Y represents the output of a process.  The output is a function of the inputs (the X’s) that affect the output. Designed Experiments are used to help us quantify the effect that the inputs have on the output of a process.  In […] read more

On August 9th, 2015, posted in: Articles, Six Sigma by Tags: , ,

Is Six Sigma the only way to improve?

When training and coaching Six Sigma professionals, one of the topics that I encourage folks to think about is whether or not Six Sigma is the only path that should be followed by an organization that is seeking to improve their operations.  In our Green Belt program I ask students to choose one side or […] read more

On July 8th, 2015, posted in: Project Management by