Inferential Statistics for Lean Six Sigma

This course will provide participants with a solid foundation for analyzing Lean and Six Sigma projects. The class covers basic comparison tests including the z and t tests for two-sample comparison, one-way and two-way Analysis of Variance (ANOVA), calculation of sample size and hypotheses testing, and basic linear regression. The course also covers the nonparametric Kruskal-Wallis test, which is useful when the normality assumptions behind one-way ANOVA are not satisfied. The opportunity to learn from peers is realized through online discussion assignments that demonstrate the tools and concepts taught in this course. Participants are encouraged to present non-proprietary workplace examples, or real-world examples from other sources, to which the course material is applicable.

Course prerequisites include Descriptive Statistics for Six Sigma Lean, and proficiency in at least high school algebra. In addition to the course materials, a statistical software package (StatGraphics or Minitab) also is required, and 6 month and 1 year student licenses are available for StatGraphics. Details will be provided at the time of enrollment as well as on the course start date via the course syllabus.