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 […]
Category: Six Sigma
Sigma Level : The Most Important Statistical Term in Six Sigma
The Six Sigma approach is a data-driven approach to problem-solving. Since we’re working with data, it is natural that we will work with statistics as you will learn in any reputable Six Sigma Green Belt training. There is one particular statistical term that is critical for Six Sigma and for understanding a process based on […]
Why Is 6 Sigma Certification Becoming More and More Popular?
What makes 6 Sigma Certification so important? Why many people are enrolling in a Green Belt training to begin their 6 Sigma Certification journey? In this article, first, we are going to explore why Six Sigma is important as a method and then why having a 6 Sigma Certification will boost your career. For more information […]
The First 2 Companies that Adopted Six Sigma Method
The Six Sigma method of problem-solving is well-known throughout the world. Lean six sigma training courses are given online and in classrooms. Online free six sigma courses are also rapidly growing as people see the value of online learning and also they want to learn what Six Sigma method is all about. The Six Sigma […]
Why the Binomial Distribution is Useful for Six Sigma Projects
The Lean Six Sigma approach is fundamentally data-driven. It relies heavily on statistics to solve real-world problems, especially in the Measure phase and Analyze phases of the DMAIC process. One of the problems that practitioners who have successfully completed Lean Six Sigma Green Belt training face, is determining the probability of defectives resulting from a process. […]