Descriptive Statistics

In the Analyze phase of Six Sigma, we take the data that we collected in the Measure phase and try to make some sense of it.  We use statistical thinking and analysis to prove or disprove our hunches about what is going on in a process, and to identify the true root cause of a […] read more

On October 15th, 2015, posted in: Articles, Six Sigma by Tags: ,

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: , ,