Basic Probability and Statistical Distributions in Six Sigma
Overview/Description Target Audience Expected Duration Lesson Objectives Course Number Overview/Description
To make accurate inferences about populations from sample data, you need to be able to determine the probability that an event or a combination of events will occur. You also need to be familiar with the characteristics of various statistical distributions, and their suitability for different types of data. In this course, you'll be introduced to the concept of probability. You'll learn how to calculate probability involving independent events, mutually exclusive events, multiplication rules, permutations, and combinations. You'll also look at different types of distributions, such as normal, Poisson, binomial, Chi-square, Student's t, and F-distributions. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward achieving their certifications and becoming productive members of their Six Sigma project teams.
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level