If you’re reading this, you’re probably interested in improving health care. Perhaps you want to make a difference for hundreds, thousands, or even millions of people. But you can’t visit all those people personally to see how they’re doing—or how your changes may affect them. You’ll have to find a faster, more efficient way to gather that information. In this lesson, you’ll learn when and why sampling makes sense—and how to select your sample without skewing your results. You’ll also learn to stratify your data in different ways to find patterns that might otherwise go unnoticed.
Estimated Time of Completion: 20 minutes
After completing this lesson, you will be able to:
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1. Explain the basics of sampling: why and how.
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2. Summarize the basic mechanisms for stratifying data.
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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.