Foundations in Statistical Decision Making

Description

Effective decision making is what separates successful manufacturing professionals from everyone else. And to make effective technical decision, you must correctly understand, analyze and interpret the data.

More than hazarding a guess or using simple tools like averages and visualizations, this class will teach you a broad selection of intermediate-level statistical tools useful in solving your difficult quality, engineering and process improvement problems.

Topics in Foundations in Statistical Decision Making include:

• The benefits and advantages of statistical experiments

• Hypothesis testing - where and why it's used.

• Error in hypothesis testing

• Designing a statistical experiment

• T tests for means

• Z tests for means and proportions

• Design and analysis of experiments (DOE)

• Practical tips for a successful DOE

• One and two factor analysis of variance (ANOVA)

• Full factorial experiments

• Fractional factorial experiments

• An introduction to Taguchi Methods

• A case study showing an L8 Taguchi experiment

• Lots of real-life examples from manufacturing

• References for your further study

• And MUCH more

Unlike some classes taught from a purely academic perspective with little connection to the real world, this class was designed and taught by manufacturing professionals for manufacturing professionals. By the time you are done with this course, you will have a clear understanding how to use statistical models in your work, and be prepared to continue your training onto to more advanced statistical tools.

So if you're a manufacturing, quality, process or industrial engineer or manager looking to take the next step in your decision making skills, this is the class for you!!

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