Shainin Methods

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 […] read more

Taguchi Designed Experiments

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 […] read more

On November 10th, 2015, posted in: Six Sigma by Tags: , , ,

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: ,