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

• 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

Formats available	Standard duration
Classroom:	1 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.

• measurement error
• measurement study design
• platform comparisons

• repeatability
• reproducibility
• models for gauge study

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

• bias
• linearity

• introduction
• conducting an attribute gauge study