Skewness Formula
The Formula
When to use: A right-skewed distribution has a long tail to the right (a few very large values); left-skewed has a long tail to the left.
Quick Example
What This Formula Means
A measure of the asymmetry of a distribution — how much it leans to one side of the mean.
A right-skewed distribution has a long tail to the right (a few very large values); left-skewed has a long tail to the left.
Why This Formula Matters
Skewness tells you whether the mean or median is a better measure of center.
Frequently Asked Questions
What is the Skewness formula?
A measure of the asymmetry of a distribution — how much it leans to one side of the mean.
How do you use the Skewness formula?
A right-skewed distribution has a long tail to the right (a few very large values); left-skewed has a long tail to the left.
Why is the Skewness formula important in Statistics?
Skewness tells you whether the mean or median is a better measure of center.
What do students get wrong about Skewness?
Positive skewness means the tail extends to the right, not that most values are large.
What should I learn before the Skewness formula?
Before studying the Skewness formula, you should understand: distribution shape.