Author name: Rick Haynes

Weibull Distribution Example: A Transformation with Surprising Result

Transformation of process data to achieve normality seems like magic, but it is not. There are a lot of reasons that specific transformations make sense and should be used, such as a lognormal transformation of standard deviations and of time data. But, when it comes to the Weibull distribution, there is no logical or inferential information that provides any guidance on a transformation to normality, until now. Rick Haynes has found a relationship between the Weibull distribution parameters and the optimal Box-Cox transformation lambda value. Through the use of the @Risk simulation program and Minitab, this article walks through the generation of an equation to predict a lambda value.

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Time Series Analysis and its Applications

Time series analysis and its applications is a topic that practitioners can can much when addressing process improvement efforts. I was talking with a Master Black Belt candidate, in the process of being certified, who asked about other statistical tools that a practitioner should learn.  Since the candidate is in a company that has a

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Problems with the Balanced Scorecard Resolved Through the IEE System

Have you have ever wanted to adopt the balanced scorecard philosophy into your organization? You may like the concept but find that it is not quite enough and has its limitations. The problems with the balanced scorecard methods are not in the generic sense of balance (which is good) but in the way the original authors choose to introduce balance into the scorecard ideas. This article walks through a vehicle to develop, implement, and apply the balanced scorecard to its fullest extent so that it will be useful to leadership.

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Enhanced How to Conduct Hypothesis Test Roadmap

At Smarter Solutions, our Lean Six Sigma (LSS) Black Belt (BB) and Master Black Belt (MBB) courses cover analysis phase tools well beyond the new body-of-knowledge (BOK) published by ASQ. Of course we teach the standard, one variable-at-a-time tests: t-tests, f-test, chi-square test, simple regression, and one factor ANOVA. But as Lean Six Sigma has become a commodity that everyone is teaching, the BOK has become watered down. Our belt programs do not cover the non-parametric tests until you reach the MBB level training. Smarter Solutions chose to teach the distribution theory along with the one variable-at-a-time tests in order to show the belt that the non-parametric tests are not really needed. When a BB or MBB learns of these new tools, he will need an advanced tool selection diagram until he becomes familiar with the tools. This advanced tool selection diagram is attached at the end of this document. You should be able to use this decision tree to answer the questions and identify the proper analytical tool to apply. It also has the Minitab Commands needed to open the tool menus.

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