Glossary Terms Archive

Box-Behnken Design: What It Is, When to Use It, and How It Works

You have identified the key factors affecting your process. You know from prior screening experiments which variables have the most influence. Now you need to find the optimal settings — the specific combination of factor levels that produces the best outcome. This is...

Block in Design of Experiments: Definition, RCBD, and Six Sigma Applications

In Design of Experiments (DOE), a block is a group of experimental runs conducted under conditions that are as similar as possible, specifically to isolate and remove the effect of a known, uncontrollable source of variation from the experimental results. That source...

Six Sigma Black Belt

Six Sigma Black Belt A Certified Six Sigma Black Belt can be described as a professional who is capable of explaining Six Sigma principles and philosophies, along with supporting systems and tools. Black Belts should be able to lead teams, understand team...

Binomial Distribution

Binomial distribution describes a binomial experiment’s outcomes. A binomial experiment has fixed trials. Each trial has two outcomes: success or failure. The probability of success remains constant. For example, flipping a coin 10 times is a binomial experiment....

Beta Risk (Type II Error): Definition, Formula, and Six Sigma Examples

Beta risk (β) is the probability of failing to detect a real difference or effect that actually exists in a process. In hypothesis testing, beta risk occurs when a team concludes that no significant difference exists, when in fact one does. It is also called a Type II...