Previously we discussed Taguchi Methods as an alternative to classical Designed Experiments. Another approach to experimentation is Shainin Methods, as developed by Mr. Dorian Shainin and strongly advocated by Mr. Keki Bhote. The late Dorian Shainin began introducing a series of experimentation techniques in the 1930’s and continued his work for nearly 50 years. Keki […]

On November 19th, 2015, **posted in:** Articles, Six Sigma by Roger EllisTags: Designed Experiments, DOE, root cause analysis, Shainin Methods, Six Sigma

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