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Fundamentals of Statistics with Minitab®
When interpreting data, it is essential to understand their variability and to recognize whether the observed trend is statistically significant. In this webinar, you will learn how to establish statistical significance in a wide range of situations. You will also learn how to design data-collection projects, and how large your sample should be in order to draw meaningful conclusions. This webinar consists of two 3-hour sessions scheduled on two different days. The participants will work through a combination of online instructions, demonstrations, and hands-on computer practice.
You will benefit by:
Who should attend
Engineers, managers, supervisors and other professionals who need to interpret data or to plan projects that need to be supported by data. Some limited prior experience with Minitab® is recommended (which can be fulfilled by taking our webinar on Using Minitab® for Understanding Data).
Meet your instructor
Peter Bajorski, Ph.D., is an Associate Professor at CQAS. He has 28 years of experience in teaching and consulting. He teaches academic courses in statistics as well as short courses for corporate clients in data analysis and Lean Six Sigma. Peter also performs statistical consulting in engineering, finance, and management applications. Prior to joining RIT, he held positions at Cornell University, the University of British Columbia, Simon Fraser University, and the New York State Department of Transportation.