Description/Purpose
This five-week series is a comprehensive coverage of the industrial research process. In-depth analyses provide the practitioner with a Master Black Belt level of expertise in this invaluable methodology. Proper application of the techniques and theory are stressed. Topics range from simple one-sample experiments to complex screening designs and response surface methods.

Target Audience
Top-level Green Belts, Black Belts wishing to augment their skill set in advanced statistical methods

Time Requirement
5 weeks, with time between classes to practice the skills (4 to 5 months total duration)

Number of Participants
20 max recommended with no more than 2 per computer (can be larger if space and computers are not a problem)

Prerequisites
None, but the series should be taken in sequence. Some experience with Measurement System Capability Analysis and Statistical Process Analysis is preferred.

Course Content

Week 1

• Frequency Distributions
• Descriptive Statistics
• Introduction to Probability
• Probability Distributions
• Sampling and Sampling Distributions
• Estimation
• Hypothesis Testing
• Error and Power in Hypothesis Testing
• Sample Size Calculations

Week 2

• The Seven-Step Procedure for Statistically Testing Hypotheses and Assumptions
• Testing for Differences/Changes in a Single Process or Population
• Testing for Differences/Changes in Two Processes or Populations
• In-Class Group Review Activity: A Case Study for the Design of a Small Motor

Weeks 3 and 4

• Planning and Conducting Designed Experiments in Industry (PLAN, DO, STUDY, ACT)
• Advanced Statistical Methods

Week 5

• Factor and Level Selection for Effective Screening Experiments Utilizing Fractional Factorial Designs
• Experimental Designs for Screening Experiments: General Guidelines and ObservationsDesigning Screening Experiments with Orthogonal Arrays — Case Studies
• Conducting Confirming Experiments

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