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Course Description: Decrease the time required for statistical analysis by quickly learning to navigate MINITAB’s user-friendly and customizable environment. Learn how to import/ export data and output between MINITAB and various software and database systems Enhance your ability to create, manipulate, and restructure data. Develop sound statistical approaches to data analysis by learning how to create and interpret a wide variety of graphs and numerical measures useful for quality improvement initiatives. This course focuses on the utilization of these tools as they pertain to applications commonly found in manufacturing, engineering, and business processes.
Anyone who uses MINITAB to perform data analysis, including Quality Professionals, Engineers, Scientists, Managers, Analysts, and Instructors can benefit from this course. Length: 3 days
Time: 8:00 a.m. - 4:00 p.m.
half-hour lunch break

Please see our public training schedule for prices, dates and locations.

  • This course covers the ASQ Certified Calibration Technician (CCT) body of knowledge.

1. Statistical Primer/Review
  • Basic Summary Statistics, types of data, measures of center and spread
2. Red Bead Experiment
  • Deming’s Red Bead – a simple, hands-on process simulation that demonstrates some problems with non-data-driven management and helps build understanding and motivation for statistical thinking
3. Avoiding Man-Made Chaos
  • Seminar that relates a case from Dr. Donald J. Wheeler’s files demonstrating how management data can be used more powerfully than it usually is.
4. Introduction to Minitab
  • Structure, menus; similarities and differences between Minitab™ and MS-Excel™
5. Statistical Control Charts
  • Shewhart charts; p, np, c, u ImR charts (XbarR/XbarS optional and recommended for manufacturing). Interpretation of control charts. Construction of control charts using Minitab™ software. Statistical Primer is a prerequisite.
6. Capability
  • Capability concepts and capability studies in Minitab™; the Taguchi loss function
7. Gage R&R in Minitab
  • Using Minitab™ software for Gage R & R studies; R & R concepts and results interpretation
8. Attribute Agreement Analysis
  • Using Minitab™ software for doing attribute agreement analysis studies. Concepts and results interpretation.
9. Hypothesis Testing Basics
  • Very basic review of simple hypothesis testing concepts. Type 1&2 errors, alpha and beta risk, null and alternative hypotheses, criteria for hypotheses.
10. Chi-Square Analysis in Minitab
  • Chi-Square test for independence; helps find relationships between categories of discrete data. Good demonstration of how hypothesis testing works, great tool for transactional process data analysis.
11. Two-Sample T-Tests in Minitab
  • Conducting simple 2-sample t-tests for differences in means. Basic t-test concepts and interpretation.
12. Paired T-Tests in Minitab
  • Conducting paired-t tests for differences in paired means. Concepts and interpretation.
13. One-Way ANOVA in Minitab
  • Using one-way ANOVA to discover differences among means in multiple data sets. Does not include ANOVA for modeling. Concepts and interpretation.

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