### 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. […]

### 4 Types of Relative Measures of Dispersion for Six Sigma

The Six Sigma approach is data-driven. Therefore, Six Sigma practitioners who have got the Lean Six Sigma training or another Lean Six Sigma Green Belt course will know that Six Sigma teams are confronted with many different types of data in different units of measure. Relative measures of dispersion are measures of the variance of […]

### 4 Absolute Measures of Dispersion You Need to Know

In the Measure phase of the DMAIC process in Six Sigma, there are many types of statistical parameters that graduates of Lean Six Sigma Green Belt training or other Online Six Sigma courses should know. Measures of Central Tendency serve to locate the center of the distribution. However, they do not reveal how the items […]

### Measure Phase Control Chart: How to Measure Process Variation?

During the Six Sigma Measure Phase of the DMAIC cycle in the Six Sigma approach to problem-solving, we need to understand the degree of the process variation. The degree of process variation, as you will learn in Lean Six Sigma Green Belt training and also in some of the free Six Sigma courses, tells us how many […]

### 5 Sampling Methods You Should Know

In any Six Sigma project, the team will have to take a sample of the population that they are studying. Lean Six Sigma courses cover a variety of sampling methods for this purpose. Sampling in statistics is usually applied in the Six Sigma Measure phase of the Six Sigma DMAIC cycle. Six Sigma Green Belt training […]