Skewness Calculator

All statistics tools

Measure the asymmetry of your data distribution.

Data Input

Data Set (at least 3 numbers)

Calculation Results

Sample Skewness2.231

InterpretationHighly PositiveRight-skewed (long tail on the right).

Mean30.80

Std Dev34.61

Sample Size5

About this calculator

Overview

Skewness measures the asymmetry of the probability distribution of a dataset. It indicates whether the data is concentrated on one side of the mean. Positive skewness means a long tail on the right, while negative skewness means a long tail on the left.

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Pro Tips

Highly skewed data might require non-parametric tests or data transformations like logarithms.
Outliers have a massive impact on skewness since it involves cubed differences.
A skewness between -0.5 and 0.5 is generally considered fairly symmetric.

Fun Facts

"Investors often prefer positive skewness in returns because it implies a higher chance of extreme gains compared to extreme losses."
"A perfectly normal distribution has a skewness of 0."
"The 'Fisher-Pearson' coefficient is the most common way to calculate skewness and is used by most statistical software."