Centering Study

“Do I need to do data transformation for both of these non-normal distributions for centering study purpose?”

This is a typical question that I received. The answer is, it depends. If you want to compare the mean of 2 distributions by using 2 sample-T (if it is independent), than you have no other choice, you must transform the distributions so that they become normally distributed. Then you can proceed with 2 Sample-T tests. T-test, ANOVA, Z-test are all using the distributions mean for comparison purpose. But mean can only represent the center of a distribution if the distribution is normally distributed. But if your distribution is not normally distributed and you wanted to proceed with centering study without data transformation, then you can use non-parametric tests. Below is the equivalent list of parametric tests and non-parametric tests

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Lean Six Sigma Champion

The Champion or Sponsor is the person(s) who is accountable for and authorizes Six Sigma project(s). Champion act as the “Vision Communicator” manages Six Sigma deployment at the "actionable level". They are responsible for selecting Six Sigma projects that have clear views to the organization's objectives. Their involvement in project team chartering, reviews progress, help remove Organizational Barriers to project success, are crucial in deploying Six Sigma successfully.

Date : 2nd August 2010

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Lean Concept (Kaizen Work-Out)

This workshop to work-out base provides an overview of Lean Concept, highlighting the associated competitive advantages. The bottom-line benefits to be addressed include lower production costs, higher profit, superior quality, shorter order-to-delivery time, greater flexibility, and improved response to changing client demand. Guidelines for achieving these benefits are provided.

Date : 2nd August 2010

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