Lean Six Sigma Descriptive Statistics

This required Green Belt course will provide participants with a solid foundation for identifying, gathering and analyzing data to make informed project decisions. It will introduce participants to basic descriptive statistics, including probability, measurements of central tendency and dispersion, calculation and interpretation of key statistical metrics, and graphical display of data. The course also covers hypothesis testing and its application to acceptance sampling, and statistical process control. The participants will learn how to construct and interpret process control charts, and perform measurement systems analysis (gage reproducibility and repeatability studies). Knowledge of mathematics at the pre-calculus level is required, but no prior knowledge of statistics is assumed. In addition to the course materials, a statistical software package (Minitab or StatGraphics) is required; an academic license is available for StatGraphics. These packages are designed for Windows operating systems, although it may be possible to run them on a Mac with a Windows emulator. Details will be provided at the time of enrollment as well as on the course start date via the course syllabus.