Abstract
A control chart can be an effective way to display process data over time. It can differentiate common cause variation from special cause variation through the application of several probability-based interpretation rules. In addition, a control chart can be helpful in evaluating the effectiveness of a change. There are numerous types of control charts, and this tutorial was developed to guide the user through the selection process.
Original language | English (US) |
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Pages (from-to) | 1-27 |
Number of pages | 27 |
Journal | Quality management in health care |
Volume | 9 |
Issue number | 3 |
DOIs | |
State | Published - Jan 1 2001 |
All Science Journal Classification (ASJC) codes
- Leadership and Management
- Health(social science)
- Health Policy
- Care Planning