Quality Data Analysis Using Minitab Training Course

Course Overview

Learning Objectives

• Analyse quality data using Minitab and appropriate statistical methods.
• Prepare, organize, validate, and visualize quality datasets.
• Select suitable statistical techniques based on the quality problem and data characteristics.
• Apply descriptive statistics to understand process behaviour and variation.
• Create and interpret graphical analyses for quality data.
• Conduct appropriate statistical tests to evaluate differences and relationships.
• Develop and interpret control charts using Minitab.
• Perform process capability and performance analysis.
• Apply correlation and regression techniques to investigate process relationships.
• Interpret Minitab statistical outputs and convert them into practical quality decisions.
• Identify analytical errors, misleading results, and inappropriate statistical applications.
• Integrate Minitab analysis with SPC, process improvement, root cause analysis, and continuous improvement.

Who Should Attend

Learning Outcomes

• Navigate Minitab effectively for quality data analysis.
• Prepare and validate datasets before performing statistical analysis.
• Summarize quality data using appropriate descriptive statistics.
• Select suitable graphical methods for different quality problems.
• Identify variation, trends, patterns, and unusual observations.
• Perform statistical tests and interpret their results correctly.
• Construct and interpret control charts using Minitab.
• Evaluate process capability and performance.
• Analyse relationships between process variables using correlation and regression.
• Interpret statistical outputs and distinguish meaningful results from misleading conclusions.
• Use Minitab findings to support root cause analysis and process improvement.
• Develop an integrated Minitab-based analysis approach for ongoing quality performance monitoring.

Course Outline