Skewness & Kurtosis Calculator
Calculate skewness and kurtosis to understand the shape of your data distribution. Skewness measures symmetry; kurtosis measures tail heaviness relative to a normal distribution.
Skewness measures the asymmetry of a distribution:
- Skewness = 0: Symmetric (like normal distribution)
- Skewness > 0: Right-skewed (tail extends right, mean > median)
- Skewness < 0: Left-skewed (tail extends left, mean < median)
Pearson's Approximations
- First: (Mean - Mode) / SD
- Second: 3(Mean - Median) / SD
Kurtosis measures tail heaviness:
- Excess kurtosis = 0: Mesokurtic (normal distribution)
- Excess kurtosis > 0: Leptokurtic (heavy tails, more outliers)
- Excess kurtosis < 0: Platykurtic (light tails, fewer outliers)