Classical Designed Experiments (DOE) were discussed in a previous article in this series. In the last article we discussed descriptive statistics that describe the center of an output or response (mean, median and mode) and the amount of variability in the output or response (range, standard deviation and variance). Taguchi Designed Experiments are an alternative […]

On November 10th, 2015, **posted in:** Six Sigma by Roger EllisTags: Designed Experiments, DOE, Robust design, Taucghi Designs

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 […]

On October 15th, 2015, **posted in:** Articles, Six Sigma by Roger EllisTags: descriptive statistics, Six Sigma

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. […]

On September 8th, 2015, **posted in:** Articles, Six Sigma by Roger EllisTags: confidence intervals, Six Sigma

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 […]