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Basic Six Sigma Statistics


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



Overview/Description
During the Measure stage of a project using the DMAIC methodology, performance-related data is summarized in a meaningful way using various statistical measures. This course explores basic statistical tools used for measuring performance.

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