Statistics. While others might stifle a yawn at the mere word, Six Sigma practitioners who have passed the Lean Six Sigma Green Belt course knows that without statistics, no Six Sigma project will succeed. Statistics is simply part of the data-driven Six Sigma approach. At the Six Sigma Green Belt level, we need to have […]
Tag: Measure Phase
Data Collection Plan: Learn to Create It In 8 Steps
In the DMAIC framework of the Six Sigma Method, a Data Collection Plan is created during the Measure phase. People who already have a Six Sigma Green Belt training will know that it is a useful tool to focus your efforts on. It is a detailed document that describes the exact steps as well as […]
5 Key Deliverables of the DMAIC Process Measure Phase
LEAN Six Sigma courses teach the Six Sigma approach which involves the DMAIC process. This acronym stands for Define, Measure, Analyze, Improve and Control as described in free Six Sigma training. These five phases that each Six Sigma project needs to go through for successful implementation. The importance of the Measure phase is often overlooked. This article […]
Understanding Discrete Probability Distribution
In the data-driven Six Sigma approach, it is important to understand the concept of probability distributions. Probability distributions tell us how likely an event is bound to occur. Different types of data will have different types of distributions. Why do we need to know this? Well, in the Lean Six Sigma Course we learn that […]
How to Calculate Probability Using the Poisson Distribution?
Lean Six Sigma Green Belt course graduates deal with two types of data during the Six Sigma Measure phase of their Six Sigma DMAIC projects: continuous data and discrete data. The Poisson distribution is a probability distribution for discrete data which takes on the values which are X = 0, 1, 2, 3 and so […]