This course teaches you how to determine the measurement error associated with your process, including both measurement system variability and bias.

Learn how to use JMP software to

• describe measurement variation
• estimate repeatability and reproducibility
• use graphical analysis to understand measurement error
• estimate bias and linearity
• perform attribute gauge studies.

Who should attend

Scientists and engineers who want to learn how to use JMP to perform measurement systems analysis

Formats available	Standard duration
Classroom:	1.0 day
Live Web Classroom:	2 half-day session(s)	System Requirements

Before attending this course, it is recommended you complete the JMP Software: A Case Study Approach to Data Exploration course or have equivalent experience.

Introduction

• measurement error
• measurement study design
• platform comparisons

Evaluating the Measurement Process

• repeatability
• reproducibility
• models for gauge study

Gauge R&R

• models with crossed and nested factors
• models with random and fixed effects (self-study)

Bias

• bias
• linearity

Attribute Gauge Studies

• introduction
• conducting an attribute gauge study