Course details

Six Sigma Statistics and Graphical Presentation

Six Sigma Statistics and Graphical Presentation


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



Overview/Description
This course covers basic statistical tools for describing, presenting, and analyzing data, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
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

Prerequisites
None

Expected Duration (hours)
1.0

Lesson Objectives

Six Sigma Statistics and Graphical Presentation

  • distinguish between descriptive and inferential statistics
  • recognize the implications of the central limit theorem for inferential statistics
  • distinguish between tools for inferential statistics
  • calculate measures of central tendency
  • calculate measures of dispersion
  • interpret a given frequency distribution table
  • identify the purpose of calculating cumulative frequency distribution
  • distinguish between correlation patterns in a scatter plot
  • identify characteristics of normal probability plots
  • recognize attributes of a process given a histogram
  • interpret a given stem-and-leaf plot
  • identify the types of information box-and-whisker plots can be used to graphically illustrate
  • demonstrate your understanding of Six Sigma statistics and graphical methods
  • Course Number:
    apr_03_a04_bs_enus

    Expertise Level
    Intermediate