3-Day Data Analysis Workshop with Hands-on Minitab Training
The ASQ Education Committee is proud to present an introductory course in the use of Minitab™ statistical software, in late September. Minitab is the most popular and practical general-purpose analysis software currently in use. It is the standard package for most Six Sigma Black and Green Belt training, and is used in many University classrooms across the U.S.
About the workshop
This is a 3-Day Data Analysis course, focused on the use of data-driven process improvement. The class will cover basic statistical concepts, including:
- SPC
- Measurement Systems Analysis
- Attribute Agreement Analysis
- Capability Studies
- Data Stratification
- Basic hypothesis testing
- Correlation and model building (using contingency analysis, ANOVA, Simple Linear and Multiple Regression)
- Introduction to Design of Experiments
- Fractional Factorial screening designs
- Optimization using Response Surface Methods
The class is a mix of lecture, demonstration, and hands-on exercises, including catapult exercises in the Designed Experiments Sections.
Who Should Register
Green and Black Belt candidates who could use a review, and other Quality Professionals with data analysis responsibilities who have or have access to Minitab software and require some familiarization or review.
Requirements
This class will be for students who have or can bring a Windows-compliant laptop to the class. Power will be provided for the laptops. If your laptop does not have Minitab installed, please download a free demo copy at minitab the day before the class.
To Register:
Registration information will be available via the Section website, and email notifications will be sent out shortly.
Workshop Fee
The Workshop fee is $1150 for ASQ Members and $1300 for nonmembers. Recertification Units of 2.4 will be awarded. All materials and lunch will be provided. Participants will receive a certificate of attendance.
Testimonial
Dr. Howard Gitlow from the University of Miami observed this class. Dr. Gitlow, a prominent statistician, long-time Deming advocate and the author of numerous journal papers and books on SPC and Six Sigma, is not generally a big fan of statistical software packages. However, he said,
"Look at this! We’re talking about multiple regression and no one is [frustrated]!
He explained that he had never really liked software, since he had thought that it “dumbed down” the practice of statistics. What had excited him was that these students were never going to be statisticians, and most of them had confessed to being nervous or scared about having to learn statistics for this class. Despite this, the students were all able to relax, not worry about the massive arithmetic usually required by stats, and concentrate on what was really important: gathering good data, using the right tools, and interpreting the answers to get the best answer to the question. They could efficiently get to very useful levels of statistical analysis without having to do a lot of math, so one of the “fear factors” had been eliminated, and the power of stats was put well within their grasp.