Completion

CERTIFICATE

Measurement Systems Analysis

Learn advanced statistical methods for analyzing measurement systems using R, from correlation to ANOVA.

Course Cost

Free course

Intermediate

Skill Level

14 Hours

Self-paced lessons

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.

Wendy Martin

English

Wendy Martin

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

Measurement Systems Analysis

ANOVA

Statistical Analysis

R Programming

Quality Control

Data Analysis

Correlation Analysis

System Capability

Process Measurement

Statistical Methods

This course includes:

4.6 Hours PreRecorded video

7 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

PROVIDED BY

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

PROVIDED BY

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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

In this module, we will learn to identify, characterize and analyze relationships between two variables. We will first learn about correlation between two continuous variables and tests for significance. Next, we will learn about correlation for ordinal variables, and association for one nominal and one continuous variable. Finally, we will learn to assess relationship for two nominal variables.

Skills you'll gain

Statistical Analysis

Correlation Analysis

Variable Relationships

Data Interpretation

This course includes:

9 Videos

1 Assignments

2 Reading Materials

The One Way Analysis of Variance (ANOVA) for Fixed and Random Effects

Module 2 · 5 Hours to complete

In this module, we will perform an Analysis of Variance for Fixed and Random Effects for a single factor and interpret results. We will first examine within versus between-group variation, and interpret the ANOVA source table. We will learn how to perform the ANOVA with Fixed Effects for means and dispersion, considering normality and equal/unequal variance.

Skills you'll gain

ANOVA

Statistical Analysis

Data Visualization

Post Hoc Analysis

This course includes:

15 Videos

2 Assignments

Introduction to Measurement Systems Analysis for Continuous Data, Potential Studies for Continuous Data

Module 3 · 2 Hours to complete

In this module, we will understand the terms and concepts associated with measurement systems analysis and analyze measurement error to determine the potential capability of a measurement system. We will explore the guidelines for measurement systems analyses and the equations for measurement error and capability.

Skills you'll gain

Measurement Systems Analysis

Data Analysis

Statistical Capability

Error Analysis

This course includes:

11 Videos

1 Assignments

Short Term and Long Term Studies for Continuous Data

Module 4 · 3 Hours to complete

In this module, we will analyze measurement error to determine the short and long-term capability of a measurement system. We will build on what we have learned in the previous module, adding the evaluation of the underlying assumptions of normality, independence of part size/magnitude and measurement error, and stability of measurement error.

Skills you'll gain

Measurement Error Analysis

Statistical Control

Data Visualization

System Capability Analysis

This course includes:

7 Videos

2 Assignments

Measurement Systems Analysis for Discrete Data

Module 5 · 2 Hours to complete

In this module, we will analyze a discrete measurement system to determine agreement, consistency, and validity. We will first familiarize ourselves with the terms, definitions, and procedures associated with Discrete Measurement Systems Analysis. Next, we will explore the measurement of agreement using the Kappa statistic and the measure of disagreement using the test of symmetry.

Skills you'll gain

Discrete Data Analysis

Statistical Agreement Analysis

Kappa Statistics

Validity Assessment

This course includes:

14 Videos

1 Assignments

Fee Structure

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

4.3

Reviews

8,140

Students

Courses

Wendy Martin

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.

Intermediate

Skill Level

14 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

Measurement Systems Analysis

What you'll learn

Skills you'll gain

This course includes:

Get a Completion Certificate

Get a Completion Certificate

Top companies offer this course to their employees

There are 5 modules in this course

Correlation and Association

Skills you'll gain

This course includes:

The One Way Analysis of Variance (ANOVA) for Fixed and Random Effects

Skills you'll gain

This course includes:

Introduction to Measurement Systems Analysis for Continuous Data, Potential Studies for Continuous Data

Skills you'll gain

This course includes:

Short Term and Long Term Studies for Continuous Data

Skills you'll gain

This course includes:

Measurement Systems Analysis for Discrete Data

Skills you'll gain

This course includes:

Fee Structure

Reviews

Faculties

Frequently asked Questions

When will I have access to the lectures and assignments?

What will I get if I subscribe to this Specialization?

What is the refund policy?

Is financial aid available?