Minitab Service Quality Focus 4-day course

Day 1 – Introduction to Minitab

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 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 business, transactional, and service industries.

Topics Covered Include: Pareto Charts, Time Series plots, Individual value plots, Bar charts, Histograms, Boxplots, Dotplots, Scatterplots, Tables, Measures of Location and Variation, ODBC.
This course is a prerequisite for all other Minitab Service Quality courses.

Day 2 – Basic Statistics

Augment your graphical analysis skills using Minitab’s powerful statistical tools. Develop the foundation for important statistical concepts such as hypothesis testing and confidence intervals. By analyzing a variety of real world data sets, learn how to match the appropriate statistical tool to your own applications and how to correctly interpret statistical output to reveal problems quickly with a process or to show evidence of an improvement. Learn how to explore critical features in your processes through statistical modeling tools that help to uncover and describe relationships between variables. The course emphasis is on making good business decisions through the use of statistical tools commonly used in business, transactional, and service processes.

Tools Covered Include: t-Tests, Proportion Tests, Tests for Equal Variance, Power and Sample Size, Tables and Chi-Square Analysis, Correlation, Simple Linear Regression, ANOVA
Prerequisite: Introduction to Minitab (Service Quality)

Day 3 – Statistical Quality Analysis

Develop the necessary skills to successfully evaluate and certify your measurement systems. Learn the basic fundamentals of statistical process control and how these important quality tools can provide the necessary evidence to improve and control your processes. Develop the skills to know when and where to use the various types of control charts available in Minitab. Learn how to utilize important capability analysis tools, many enhanced in Minitab 15, to evaluate your processes relative to internal and customer specifications. The course emphasizes the teaching of quality tools as they pertain to in service industries.

Tools Covered Include: Attribute Agreement for Binary, Nominal and Ordinal Data; Kappa and Kendall’s Coefficients; Gage R&R; Variables and Attribute Control Charts; Capability Analysis for Normal and Non-normal and data.
Prerequisites: Introduction to Minitab (Service Quality) and Basic Statistics (Service Quality)

Day 4 – Minitab Advance Topics

Expand your set of available statistical tools by analyzing data from real world problems experienced in service industries. Strengthen analysis skills with tools used to explore and describe relationships between variables. Learn to discover and describe features in data related to the effect and impact of time, and how to forecast future process behavior. Utilize graphical and quantitative approaches to describe similarities and differences between the effects of various factors on important quality characteristics. Learn how to find and quantify the effect that factors have on the probability of a critical event occurring.

Tools Covered Include: Multivariate ANOVA, GLM; Binary Logistic Regression; Factorial Designs; Time Series Tools Including Exponential Smoothing, Trend Analysis, Decomposition, Multiple Linear Regression including Best Subsets and Stepwise Regression.
Prerequisites: Introduction to Minitab (Service Quality) and Basic Statistics (Service Quality)