Kevin Hankins

1. Go to http://www.aecouncil.com/data_analysis to get DE Histograms (free).
2. Click on “Give me some data in Excel”.
3.  Select some cells, and then click on “Normal Random Numbers Fill”.
4.  Find the range of your Sample from Step 3 (you can use Max()-Min()).
5.  Find the stdev() of the same Sample.
6.  Repeat.
7.  You will find that Rbar…[Read more]

MBBs must have advanced applied statistical education or the equivalent.  An MBA would rarely satisfy this requirement.  There are several university statistics departments that could serve up the minimum “3 Graduate level Applied Statistics classes with a B or better” that I suggest.
Of course, this answers the “What do most companies look f…[Read more]

Correlation and regression are rich areas which need much applied R&D before they can be broadly and commonly applied in SS programs.
For instance, I have seen none of the available SS materials explain the difference in shape of the prediction intervals between correlation and regression.  Or that the univariate spec limits on which SS is based…[Read more]

The most successful will come from the top-down _and_ the bottom-up.  The top should, very early on in the SS program, broadly and deeply solicit any interested stakeholders to participate in an affinitization party from which the SS program can be defined.
To only be top-down, as are many SS programs, is to grossly offend your most experienced,…[Read more]

The Six Sigma philosophy is to _understate_ your process by the 1.5 sigma shift.  You always shift the 1.5 toward the Customer Spec Limit.
Therefore, the Calculator is wrong.  It overstates the answer by 3.0 sigma, because the 1.5 should be -1.5, not +1.5.
 
Kevin Hankins
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