What Will You Learn?
- How to use a risk-based approach to select optimum sampling plans
- How and why do sampling plans differ between attribute and variable data
- What do we mean by Statistical Performance Requirements
- What do we mean by Sampling Plan Protection
- AQL vs LTPD
- Alpha vs Beta Errors
- Confidence and Reliability
- 1-stage and 2-stage sampling plans
- Sampling plans for 1-sided and 2-sided specs
- Precision to Tolerance Ratio
- How to make sampling plans easy for non-statisticians
- How to strike a balance between the level of effort and risk of failure
What Will You Get?
- Unlimited access to this course for as long as the course remains in the active curriculum
- take as long as you need to complete the course
- revisit as often as you like
- refresh the acquired knowledge whenever you need
- Intelligent, thought provoking and entertaining quizzes and exams
- challenging questions designed by experts
- randomly pulled questions from a larger library of questions
- passing the quizzes and exams is mandatory for successfully completing the course
- provides an effectiveness measure for the training
Certifications
- Certificate of Completion
- upon review of critical amount of course content
- upon successfully passing the quizzes and final exam
- Subject Matter Expert (SME) Badge
- This course is part of the "Process Validation" SME Certification. It takes you one step closer to earning that SME Badge.
SuperSmart Points
- You earn 10 SuperSmart points for taking this course.
- You need to redeem 60 SuperSmart points to take this course for free.
And More...
- Ongoing interactions and networking with other course participants
- Interactions and follow-up questions with the course author
- Provide rating and review comments on the course
- Author: Christian Castro