Measurement Systems Analysis
Learn advanced statistical methods for analyzing measurement systems using R, from correlation to ANOVA.
Learn advanced statistical methods for analyzing measurement systems using R, from correlation to ANOVA.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science Methods for Quality Improvement Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Master measurement systems analysis techniques
Perform correlation and ANOVA analyses
Evaluate measurement system capability
Analyze continuous and discrete measurements
Assess measurement system acceptability
Create professional reports using RMarkdown
Skills you'll gain
This course includes:
4.6 Hours PreRecorded video
7 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course covers statistical methods for analyzing and evaluating measurement systems. Students learn to assess both continuous and discrete measurement systems for accuracy, precision, and capability. The curriculum includes correlation analysis, ANOVA for fixed and random effects, and measurement systems analysis for both short-term and long-term studies. Special emphasis is placed on practical application using R software and RMarkdown for professional reporting.
Correlation and Association
Module 1 · 2 Hours to complete
The One Way Analysis of Variance (ANOVA) for Fixed and Random Effects
Module 2 · 5 Hours to complete
Introduction to Measurement Systems Analysis for Continuous Data, Potential Studies for Continuous Data
Module 3 · 2 Hours to complete
Short Term and Long Term Studies for Continuous Data
Module 4 · 3 Hours to complete
Measurement Systems Analysis for Discrete Data
Module 5 · 2 Hours to complete
Fee Structure
Instructor
W. Edwards Deming Professor of Management
Wendy Martin is the W. Edwards Deming Professor of Management in the Lockheed-Martin Engineering Management Program at the University of Colorado Boulder, where she specializes in Quality Science. With a robust educational background, she earned her B.S. in Mechanical Engineering from Purdue University and a Master of Engineering from the University of Colorado Boulder, focusing on Six Sigma, quality systems, and applied statistics. Before her academic career, Wendy honed her skills in statistical methods through training at Luftig & Warren International and gained extensive industry experience during her 14 years at Anheuser-Busch, where she applied statistical techniques in an industrial setting.Since joining the Engineering Management program in 2014, Professor Martin has taught a variety of courses related to data analytics and quality management, including "Data Acquisition, Risk, and Estimation" and "Stability and Capability in Quality Improvement." Her expertise encompasses operational excellence, product quality, and reliability methods. In addition to her teaching responsibilities, she consults with organizations to address critical process-related challenges. Outside of academia, Wendy enjoys exploring generative AI and workflow automation, reflecting her commitment to continuous learning and innovation in both her professional and personal pursuits.
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