Overview

Welcome to the Tabtrainer® Certified Series - your trusted source for practical data visualization and quality process insights.In this training unit, you'll master Box Plot Analysis using Minitab®, focusing on real production scrap data from the Smartboard Company. You'll learn how to visualize trends across weekdays, detect outliers using Grubbs' Test, and automate your analysis through macros and command line scripting.With 750 real data points, you'll gain hands-on experience constructing and interpreting box plots, creating individual value plots, and streamlining recurring analysis tasks with a custom Daily Quality Menu.Taught by Prof. Dr. Murat Mola, TÜV-certified Six Sigma trainer and Professor of the Year 2023 in Germany, this course empowers engineers, analysts, and quality teams to make data-driven decisions quickly and consistently.This training unit provides a comprehensive exploration of Box Plot Analysis to identify trends and differences in categorical data groups. Designed for professionals in quality management, this course uses real-world scenarios from the Smartboard Company to demonstrate the analysis of production scrap rates across weekdays.Participants will work with a pre-processed dataset containing 750 values representing daily scrap rates. Through hands-on exercises, participants will learn to construct, interpret, and customize box plots to uncover valuable insights for process optimization.Key Learning Objectives:Understand the fundamentals of Box Plot Analysis, including the calculation of quartiles, median, and interquartile range (IQR).Explore the four types of box plots and their application based on categorical and response variables.Identify production trends and variability, such as higher scrap rates on specific weekdays, using statistical tools.Conduct an Outlier Analysis with Grubbs' Test to detect anomalies and validate their causes.Create and use Individual Value Plots for detailed data visualization.Advanced Skills Development:Automate repetitive analyses (e.g., box plots, outlier tests) by creating macros in Exec format using the Command Line History.Customize a new Daily Quality Analysis menu for one-click execution of recurring tasks, enhancing efficiency in routine operations.Incorporate additional statistical elements, such as arithmetic mean and trend lines, into visualizations.Practical Application: Participants will analyze weekday-specific box plots to identify and address production inconsistencies. The course also emphasizes:The importance of stable production processes across the week.Techniques to streamline workflows with automated Minitab macros.Saving and exporting project results for consistent reporting.This hands-on course equips participants with essential tools and techniques to optimize quality processes using Minitab, ensuring robust, repeatable statistical analyses in dynamic business environments.

Skills

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