TabLab

Kurtosis Calculator

Calculate both kurtosis and relative kurtosis (excess kurtosis) to measure the relative weight of your distribution's tails. Identify if your data has more or fewer extreme values compared to a normal distribution.

Kurtosis Results

2.6623
Reference: Normal distribution has kurtosis = 3
-0.3377
Reference: Normal distribution has excess kurtosis = 0
2.2635
-0.7365
0.0207
-2.9793
Platykurtic
Distribution has lighter tails with fewer extreme values than a normal distribution

Distribution Plot

Kurtosis only measures the tailedness of a distribution and not the "peakedness". See "Kurtosis as Peakedness" (Westfall, 2014)

How to Calculate Kurtosis

  1. Enter your numeric data directly into the data table or upload a CSV file
  2. Use the "Select Data Column" control to choose which column of data to analyze
  3. The calculator will automatically compute both kurtosis and relative kurtosis values
  4. View the distribution type classification and interpretation
  5. Examine the visualization to understand the tail weight of your data distribution

Related Calculators and Graph Makers

Standard deviation calculator

Calculate the standard deviation of your dataset to measure how spread out the values are from the mean.

Variance calculator

Calculate the variance of your dataset to measure how spread out the values are from the mean.

Interquartile Range (IQR) Calculator

Calculate the interquartile range (IQR) and identify outliers in your data. Perfect for understanding data spread and detecting unusual values.

by @scottpaulin