Basic Statistics for Six Sigma

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

Please contact us for information about prerequisites.

Expected Duration
67 minutes

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.


Measures of Central Tendency

  • 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

Measures of Dispersion

  • 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

Using Statistical Techniques in Six Sigma

  • 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





Multi-license discounts available for Annual and Monthly subscriptions.