Skew refers to the asymmetry or lack of symmetry in a data distribution. It indicates whether the data is concentrated more towards one tail of the distribution than the other.
Imagine a seesaw where one side has several heavy weights and the other side has only a few light weights. The seesaw is not balanced, just like a skewed distribution where one tail has more values than the other.
Outlier: An outlier is an extreme value that lies far away from most of the other values in a dataset.
Kurtosis: Kurtosis measures how peaked or flat a distribution is compared to a normal distribution.
Normal Distribution: A normal distribution, also known as a bell curve, is symmetric and follows a specific mathematical pattern.
Study guides for the entire semester
200k practice questions
Glossary of 50k key terms - memorize important vocab
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.