Kurtosis Calculator
Calculate sample excess kurtosis from a dataset to estimate how heavy-tailed or light-tailed the distribution is relative to a normal distribution.
Enter values separated by commas, spaces, or line breaks.
This page returns sample excess kurtosis, where a normal distribution is near 0.
| Metric | Value |
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Privacy: calculations run locally in your browser. No inputs are stored or transmitted.
How it works
This calculator computes sample excess kurtosis, which compares tail behavior to the normal distribution. Values near 0 suggest approximately normal-like tail weight.
Examples
- 2, 3, 3, 4, 5, 9, 12
- Large outliers can increase kurtosis by making tails heavier.
FAQ
- What is kurtosis?
Kurtosis describes how heavy the tails are and how concentrated values are around the center compared with a normal distribution.
- What does excess kurtosis mean?
Excess kurtosis is kurtosis relative to the normal distribution. A normal distribution has excess kurtosis of 0.
- How many values are required?
At least 4 values are required, and the sample standard deviation must be greater than 0.
- What does positive excess kurtosis suggest?
Positive excess kurtosis suggests heavier tails or more extreme values than a normal distribution.
- Are calculations stored?
No. Everything runs locally in your browser.