• Online, Self-Paced
Course Description

By determining the probability that a certain event, or multiple events, will occur during your business process improvement project, you'll have a better chance of planning an effective process design. You also need to understand the characteristics of various statistical distributions, and their suitability for different types of data.

This course covers different Lean Six Sigma tools and techniques for calculating probability in process improvement initiatives, including independent events, mutually exclusive events, multiplication rules, permutations, and combinations. you'll also explore different types of distribution such as normal, Poisson, binominal, chi square, student's T, and F distributions, and how they can be applied in Lean projects to ensure process control.

This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Learning Objectives

By determining the probability that a certain event, or multiple events, will occur during your business process improvement project, you'll have a better chance of planning an effective process design. You also need to understand the characteristics of various statistical distributions, and their suitability for different types of data.

This course covers different Lean Six Sigma tools and techniques for calculating probability in process improvement initiatives, including independent events, mutually exclusive events, multiplication rules, permutations, and combinations. you'll also explore different types of distribution such as normal, Poisson, binominal, chi square, student's T, and F distributions, and how they can be applied in Lean projects to ensure process control.

This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Analysis