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Basic Statistics for Six Sigma

Target Audience
Expected Duration
Lesson Objectives
Course Number

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 provides a look at basic statistical tools used for measuring performance. It describes descriptive and inferential statistics as well as the concepts of central tendency and dispersion of data. The course describes the process of determining and interpreting central tendency measures such as mean, median, and mode. It also describes how to calculate and interpret dispersion metrics such as standard deviation, range, and variance and how these can be used with central tendency measures to make valid conclusions about a process. This course is aligned to the ASQ Body of Knowledge and is designed to assist Yellow Belt candidates toward achieving their certifications and becoming productive members of their Six Sigma project teams.

Target Audience
Candidates seeking Six Sigma Yellow Belt certification and any other individuals involved in quality and process improvement at the organizational or departmental level

Expected Duration (hours)

Lesson Objectives

Basic Statistics for Six Sigma

  • recognize the differences between descriptive and inferential statistics
  • identify the definitions of central tendency and dispersion
  • calculate the mean of a sample
  • calculate the median of a sample
  • determine the mode of a sample
  • calculate measures of central tendency
  • identify the definition of dispersion
  • determine the range of a sample
  • calculate the standard deviation of a sample
  • calculate the variance of a sample
  • calculate and interpret measures of dispersion
  • match tools for inferential statistics to descriptions of their use
  • identify the effects that outliers have on measures of central tendency and dispersion
  • demonstrate your understanding of how central tendency is used in descriptive and inferential statistics
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