“The normal distribution is the most common and most useful distribution that you will come across.” That’s not an exaggeration. It fits many real world datasets including population birth weight, height, shoe size, and blood pressure. This lesson covers the basic parameters of this bell-shaped curve and the Empirical Rule (68-95-99.7 Rule), which allows us to draw much more insight from normal distribution graphs.
Olanrewaju Michael Akande is a professor in the Department of Statistical Science at Duke University. He covers Discrete and Continuous Random Variables and The Central Limit Theorem. He earned both his Ph.D. in Statistical Science and his Masters of Science (M.S.) in Statistical and Economic Modeling from Duke University. His research focuses on developing statistical methodology for handling missing and faulty data, particularly in the social sciences.
Chapters:
0:00 Parameters
3:13 Empirical Rule
5:44 Empirical Rule Example #1
11:02 Empirical Rule Example #2
The Binomial Distribution is another important curve. Learn more in this lesson: https://youtu.be/7EW_KRj05QU
This lesson is excerpted from Outlier’s Intro to Statistics course. Learn more about this course and check out our full catalog at https://www.outlier.org.
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