Starting with the Basics - Statistics for Six Sigma

While some will downplay the need for statistical knowledge- I am more inclined to believe that this is where the fun really is. Depending though on whether you are a green belt or a black belt - the level of knowledge required may differ. But whatever belt you may be aiming for, it is still a good idea that one has a good grasp of statistics.

With statistics, you will be able to predict, with some degree of confidence - that your solutions will work now and in the future. As is said, one must first understand that the aim of statistics is prediction.

Also, there is more to statistics than what our schools have been used to teaching students. If one doesn't have a statistics or mathematics background - one may never hear of the famous names as John Tukey- the great statistician who invented the box plot, stem and leaf plot and many more. Tukey's famous Exploratory Data Analysis will prove to be useful in one's six sigma undertaking.

Indeed, a lot still has to be learned about statistics. We may not be able to master all the statistical concepts - but at least we know of the existence of the important theories and how we may apply these.

Our aim is not to become statisticians, but continuous improvement pragmatists.