Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
(PRWEB) April 04, 2013
Refine your quality improvement skills by attending Minitab Inc.’s public training sessions in State College starting May 13.
Professionals will have the opportunity to learn from an industry-seasoned Minitab trainer, who will emphasize techniques for improving quality in manufacturing.
Minitab, the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series May 13-17 at Minitab Inc., 1829 Pine Hall Road, State College, PA 16801.
The series consists of five day-long courses:
- Day 1: Introduction to Minitab
- Day 2: Basic Statistics
- Day 3: Advanced Regression and ANOVA
- Day 4: Statistical Quality Analysis
- Day 5: Factorial Designs
The courses are tailored for professionals working in the automotive industry, chemical production plants and other companies involved in manufacturing. The course materials include examples with metrics such as diameters, pressure and hardness.
The full five days of training costs $2125; registration for individual sessions is also available. People who register for two or more days of training and pay before April 13, 2013 receive a 10% early-bird discount. In addition, two or more people from the same organization receive a 5% discount if they register before May 13. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=1105.
All of Minitab’s instructor-led training includes plenty of time to practice what you learn under the guidance of expert trainers with years of experience implementing quality improvement projects. Trainers make complex concepts easy to grasp, and are highly regarded for their engaging style and personal attention.
Karen Meldrum, Minitab technical training specialist and certified Six Sigma Black Belt, will be the instructor for the State College sessions. Meldrum earned a bachelor’s degree in applied mathematics, as well as master’s degrees in applied statistics and mathematics from Oakland University. She also completed graduate study in pure mathematics at Wayne State University.
She taught statistics and mathematics at the university level for the General Motors Technical Education Program and has worked as a statistical trainer and consultant for Ford Motor Company, Chrysler, Bayer, Hollingsworth & Vose and MSX International.
The breadth of her own experiences as a statistician and quality professional, combined with over 20 years teaching experience, makes Meldrum an excellent resource to her class participants. Her classes develop proficiency in the use of Minitab and an understanding of the statistical concepts and tools essential to the success of quality improvement initiatives.
The skills covered in the five day-long courses are detailed below.
Introduction to Minitab
Participants learn to create, manipulate and restructure data, and how to create and interpret a wide variety of graphs and numerical measures useful for quality improvement initiatives. Topics include Charts, Histograms, Boxplots, Dotplots, Scatterplots, Tables, Measures of Location and Variation, and ODBC.
Participants learn to match appropriate statistical tools to their own applications and how to correctly interpret statistical output to quickly reveal problems or show evidence of improvement. Participants explore critical features in their processes through statistical modeling tools that help to uncover and describe relationships between variables. Topics include t-Tests, Proportion Tests, Tests for Equal Variance, Power and Sample Size, Correlation, Simple Linear and Multiple Regression, ANOVA and GLM.
Advanced Regression and ANOVA
Participants learn to build on fundamental statistical analysis concepts taught in the Basic Statistics course by exploring additional statistical modeling tools that help reveal key inputs and sources of variation in processes. Topics include Multiple and Stepwise Regression, GLM with Covariates, Nesting and Random Factors, MANOVA and Binary and Nominal Logistic Regression.
Statistical Quality Analysis
Participants learn the basic fundamentals of statistical process control and how these quality tools can provide the necessary evidence to improve and control manufacturing processes. Topics include Gage R&R, Destructive Testing, Gage Linearity and Bias, Attribute Agreement, Variables and Attribute Control Charts, Capability Analysis for Normal, Non-normal and Attribute Data.
Participants learn to generate full and fractional factorial designed experiments, then interpret and communicate results to improve products and processes, reduce process variation and expedite development projects. Topics include Design of Factorial Experiments, Normal Effects Plot and Pareto of Effects, Power and Sample Size, Main Effect, Interaction and Cube Plots, Center Points, Overlaid Contour Plots and Multiple Response Optimization.
Minitab Inc. is one of the world’s leading developers of statistical and process improvement software. Thousands of distinguished companies use Minitab software, including Toshiba, DuPont, Boeing, Royal Bank of Scotland, Nestlé and Pfizer. Minitab products are backed by outstanding services, including training, e-learning opportunities and free technical support.
Minitab Inc., headquartered in State College, Pa., operates offices in the United Kingdom, France and Australia and has additional representatives throughout the world.