This course teaches you how to determine the measurement error associated with your process, including both measurement system variability and bias.
Learn how to
- Describe measurement variation.
- Design studies to estimate both bias and variability of a measurement system.
- 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 day | | |
Live Web Classroom: |
2 half-day session(s) |
|
Before attending this course, you should complete the JMP® Software: A Case Study Approach to Data Exploration and JMP: Statistical Decisions Using ANOVA and Regression courses or have equivalent experience. This course addresses JMP software.
This course addresses JMP software.