
Explore the range method with three examples, applying grr squared over the process standard deviation squared to calculate percent g using d2* and r-bar.
Compare the crosstab method with Cohen's kappa to assess two inspectors evaluating ten parts as acceptable or rejectable, highlighting false alarms, misses, and overall appraiser effectiveness.
Explore Fleiss' kappa for assessing inter-rater reliability among three inspectors classifying seven items as acceptable or rejectable, and use the Excel workflow to compute p0, pe, and the kappa value.
Accurate measurements are the foundation of effective decision-making in manufacturing, quality, and engineering. But how do you know your measurements can be trusted?
This hands-on course takes you from the foundations of Measurement Systems Analysis (MSA) through intermediate statistical techniques, using Microsoft Excel as your analytical tool. You’ll learn how to evaluate bias, repeatability, reproducibility, stability, linearity, and attribute agreement using real examples and downloadable Excel templates.
No previous statistics training? No problem. Each concept is broken down in plain language, and all Excel tools—including the Analysis ToolPak—are clearly explained as you go.
You’ll also receive a downloadable glossary of MSA terminology, practice exercises, and ready-to-use Excel templates to help you apply what you’ve learned immediately.
Whether you're improving a measurement process, validating a new gage, or preparing for an audit, this course will give you the tools and practical skills you need to ensure your measurement system is reliable, consistent, and audit-ready.
What you'll learn
Understand the core principles of Measurement Systems Analysis (MSA) and why it's critical to quality and reliability
Evaluate measurement bias, stability, linearity, repeatability, and reproducibility using real-world data
Perform Gage R&R studies using the Range, Average & Range, and ANOVA methods in Microsoft Excel
Use Excel’s Analysis ToolPak and built-in functions to run statistical tests and interpret results confidently
Analyze attribute measurement systems using Cohen's Kappa, Fleiss' Kappa, and the Cross Tab method
Interpret key MSA outputs such as %GRR, number of distinct categories (NDC) and control limits
Identify sources of measurement system variation and take action to improve data quality
Apply statistical decision-making tools in a manufacturing, quality, or engineering context
Course Includes:
4 hours of on-demand video
All Excel templates used in the course
Printable glossary of MSA terms
Practice exercises and worked examples
Certificate of Completion from Udemy
LIFETIME ACCESS to the course contents
Q&A access to industry experts
Who this course is for
This course is designed for professionals responsible for the accuracy and consistency of measurement data, including:
Quality Engineers and Quality Technicians
Manufacturing and Process Engineers
Supplier Quality and Reliability Engineers
Metrology and Calibration Technicians
Lean Six Sigma Belts and Continuous Improvement Professionals
Production Supervisors, Managers, and Analysts who rely on measurement data to make decisions
Whether you're running your first Gage R&R or seeking a more practical approach to MSA, this course gives you the tools and confidence to do it right. Enroll today!