What is the Kurtosis Calculator?

The Kurtosis Calculator measures the “tailedness” of a dataset, indicating how much the values cluster around the mean versus in the tails. A high kurtosis value suggests that data have heavy tails and more outliers, while a low value indicates light tails and fewer outliers. This calculator first computes the mean of the entered values, then calculates deviations from the mean, squares, and fourth powers of these deviations. Using the formula K=n∑(x−xˉ)4(∑(x−xˉ)2)2K = \frac{n \sum{(x – \bar{x})^4}}{(\sum{(x – \bar{x})^2})^2}K=(∑(x−xˉ)2)2n∑(x−xˉ)4​, it determines the kurtosis. The step-by-step table shows each value, its deviation from the mean, the squared deviation, and the fourth power, giving a clear view of how the kurtosis is derived.

How to Use:

1. Enter Values: Input numeric values separated by commas (e.g., 10, 12, 15, 18, 20).
2. Click “Calculate”: The calculator finds the mean, squared deviations, fourth-power deviations, and the kurtosis.
3. View Table: Each step of the calculation is displayed in a table showing deviations and powers, allowing detailed verification of the results.