QI 103 Lesson 2: Displaying Data
Once you do the hard work of testing a change, you’ll probably want to convince other people to try it. But if all you’ve got to show is a list of numbers, don’t expect anyone to be too impressed. Displaying your data graphically can give you a clear picture of whether your changes are leading to improvement. It can also help win over skeptics who are resistant to change. In this lesson, you’ll learn to build two kinds of graphs—run charts and Shewhart charts— and use them to interpret your data.
Estimated Time of Completion: 20 minutes
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Learning Objectives
After completing this lesson, you will be able to:
1. State the value of plotting data over time.
2. Identify the basic elements of a run chart.
3. Interpret a run chart.
4. Explain how to distinguish between random and nonrandom patterns in the data.
5. Recall the difference between common cause and special cause variation.
6. Explain the difference between a run chart and a Shewhart chart.
Contributors
Author(s):
Robert Lloyd, PhD, Executive Director Performance Improvement, Institute for Healthcare Improvement View Profile
Sandra Murray, MA, Improvement Advisor, CT Concepts View Profile
Lloyd Provost, MS, Statistician, Associates in Process Improvement View Profile
Editor(s):
Deepa Ranganathan, Content Manager, Institute for Healthcare Improvement View Profile
Jane Roessner, PhD, Writer, Institute for Healthcare Improvement View Profile
Requirements
You must be a registered IHI.org user to take this lesson.
You must achieve a minimum score of 75% to successfully complete this lesson.