CQAS Seminars

 

Data Analysis Using Minitab^®

 

In today’s quality-conscious world, statistical knowledge is essential for planning, decision-making, and process improvement. Many managers, engineers, and even operators are now expected to use statistical methods and/or interpret reports using statistical analyses. What do the results mean? Are they significant? Was the analysis done correctly? In this seminar you will learn the basic skills and knowledge to analyze data and apply descriptive statistics using Minitab^® statistical software. 1.4 CEUs.

 

Topics include:

• Introduction to Minitab^®
• Statistical thinking
• Sampling methods and data collection
• Measures of dispersion and central tendency
• Histograms, box plots, and scatter plots
• Hypothesis testing and confidence intervals
• Inferences about proportions and means
• Correlation and regression
• One-way analysis of variance
• Measurement system analysis
• Components of variance
• Basics of statistical process control

 

How you will benefit:

• See how data can be affected by the way it is collected
• Gain insight into data by choosing the best statistic
• Use computer software, Minitab^®, to make charts, tables, diagrams, and plots
• Understand both the power and the limitations of data

 

Who should attend

 

Engineers, mangers, supervisors and other professionals who need a basic understanding of statistics or wish to update their knowledge. No prior experience with Minitab^®; is required.

 

Cost

 

$695. This price includes continental breakfast and lunch each day.

 

Meet your instructor

 

Peter Bajorski, Ph.D., is a CQAS faculty member. Prior to joining RIT, he was performing statistical consulting for a wide range of clients in engineering, finance, and management at the New York State Department of Transportation. He also served as a principal investigator of several applied-research projects. He taught and conducted research at Cornell University, the University of British Columbia, and the Technical University of Wroclaw (Poland).