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.
Kurtosis Calculator tool
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.
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.