Summary: This course teaches you how to determine the measurement error associated with your process, including both measurement system variability and bias, using JMP software.
Duration: 10.5 hours of content.
Modalities:
- live online with instructor -- This course is available periodically (but infrequently) in our public course schedule. The public courses are an opportunity to learn this content with a live instructor, but they are currently only offered in English and at times most convenient to a US audience (because most of our instructors are in US time zones). Don't see what you are looking for? Let us know.
- through a third-party training vendor -- Any course in our JMP Curriculum could be taught by a licensed training vendor, including through the training department at your own company. Contact your JMP representative to learn more.
Prerequisites: Before attending this course, it is recommended that you complete the JMP® Software: A Case Study Approach to Data Exploration and JMP®: Statistical Decisions Using ANOVA and Regression courses or have equivalent experience.
Learning Objectives:
- 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.
Course Outline:
(This section will be updated soon.)