Course details

Basic Six Sigma Statistics

Basic Six Sigma Statistics


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



Overview/Description
Six Sigma and Lean are business process improvement methodologies. Used together, they are called Lean Six Sigma and they can transform form a strategy that enables a system of process control and process design to make your business more effective and efficient. This course introduces you to the measure stage of a six sigma project and the basic statistical tools used for measuring its performance. The DMAIC methodology enables performance-related data to be summarized in a meaningful way by using statistical measures.

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)
1.1

Lesson Objectives

Basic Six Sigma Statistics

  • recognize the differences between descriptive and inferential statistics
  • define central tendency
  • calculate the mean of a sample
  • calculate the median of a sample
  • determine the mode of a sample
  • define dispersion
  • determine the range of a sample
  • calculate the standard deviation of a sample
  • calculate the variance of a sample
  • distinguish between tools for inferential statistics
  • identify the effects that outliers have on measures of central tendency and dispersion
  • demonstrate your understanding of measures of central tendency and measures of dispersion
  • Course Number:
    apr_09_a01_bs_enus

    Expertise Level
    Intermediate