Kurtosis calculator
Paste a numeric sample. The calculator reports a finite-sample adjusted estimator.
How do I use this page?
- Paste the data.
- Check the mean and standard deviation.
- Read the result and interpret it with the distribution shape.
What this page does not do: At least four non-constant observations are required. The result is highly outlier-sensitive and unstable in small samples.
Further reading
Theory — what is kurtosis?
Excess kurtosis describes the heaviness of a distribution's tails and the concentration of values relative to a normal distribution. For a normal distribution the theoretical excess value is zero, and classical kurtosis equals three. The calculator uses the adjusted excess estimator G₂, suited to a finite sample size. A result near zero does not automatically mean the distribution is normal — it is only one feature of its shape.
Frequently asked questions
Does zero prove normality?
Do outliers affect the result?
See also
A/B test calculator
Compare two proportions in an A/B test. Calculate conversion rates, difference, uplift, z score, p value and c
A/B test planning — sample size, MDE and duration
Plan a two-proportion experiment, estimate detectable effect and traffic duration.
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.