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 (duration can vary, see event schedule for details)
Classroom:	1.0 day

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