Course details

Data Analysis and Root Cause Analysis in Six Sigma

Data Analysis and Root Cause Analysis in Six Sigma


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
This course covers the data analysis and root cause analysis techniques used in Six Sigma projects. This course is aligned to the ASQ Body of Knowledge and is designed to assist Yellow Belt candidates toward achieving their certification.

Target Audience
Candidates seeking Six Sigma Yellow Belt certification, those who are new to the world of Six Sigma or have a small role, interest, or need to develop foundational knowledge, quality professionals, engineers, production managers, frontline supervisors, and all individuals including process owners and champions, charged with the responsibility of improving quality and processes at the organizational or departmental level

Prerequisites
None

Expected Duration (hours)
1.2

Lesson Objectives

Data Analysis and Root Cause Analysis in Six Sigma

  • distinguish between types of variables
  • identify characteristics of normal distribution
  • recognize situations for which you would use a binomial distribution
  • recognize how the shape of a distribution curve affects data interpretation
  • classify examples of causes of variations as either common or special causes
  • recognize the process for conducting a root cause analysis
  • recognize best practices when using 5 Whys Analysis
  • identify sources of information used when creating a process map
  • distinguish between process map symbols and their meanings
  • recognize how relational matrix charts are used for root cause analysis
  • recognize activities involved in carrying out a force-field analysis
  • demonstrate your understanding of using data analysis and root cause analysis in Six Sigma projects
  • Course Number:
    apr_10_a02_bs_enus

    Expertise Level
    Intermediate