How to use the excess kurtosis calculator
Measure how heavy the tails of a data set are compared with a normal distribution. Enter data values in the field above; the excess kurtosis is computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “kurtosis calculator”, “heavy tails”, “excess kurtosis of data”, “calculate excess kurtosis”, “find excess kurtosis”.
Formula
Variables
- d — Data values
Worked example
With data values = 2,4,4,4,5,5,7,9, the calculator gives excess kurtosis ≈ -0.21875.
Frequently asked questions
What is the excess kurtosis calculator used for?
Measure how heavy the tails of a data set are compared with a normal distribution. It helps with questions such as “kurtosis calculator”, “heavy tails”, “excess kurtosis of data”.
What is the formula for the excess kurtosis calculation?
Excess kurtosis = sum(d.map(function(v){return (v-mean(d))^4})) / len(d) / sdp(d)^4-3. Here d is data values.
What inputs do I need for the excess kurtosis calculator?
You need data values. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.
How do I use the excess kurtosis calculator?
Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.
Is the excess kurtosis result exact?
Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.