Understanding Statistical Process Improvement Module 31
Let's dive into the details surrounding Statistical Process Improvement Module 31. This lecture opens the discussion of the identification and interpretation of patterns on Shewhart control charts (and, really, other ...
Key Takeaways about Statistical Process Improvement Module 31
- This lecture is the second part of a discussion of the Average Run Length as quantifying likely behavior
- This lecture discusses Shewhart control charts for counts of non-conforming outcomes, i.e. p charts and np charts.
- In this video, we delve into the fundamentals of Control Charts (
- This lecture demonstrates the use of elementary confidence limits for a difference in proportions and for a mean difference in the ...
- This lecture discusses the making of normal plots and their use in
Detailed Analysis of Statistical Process Improvement Module 31
This is the second part of a discussion of identifying and using patterns found on Shewhart control charts. This lecture discusses Shewhart control charts for mean non-conformities per unit, u charts and c charts. This lecture begins the discussion of the so-called Average Run Length as a means of quantifying what a
by Jake Mickelsen Quality
That wraps up our extensive overview of Statistical Process Improvement Module 31.
