# Beta distribution (Skewness, with terms of shape parameters)

## Description

In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] parametrized by two positive shape parameters, denoted by α and β, that appear as exponents of the random variable and control the shape of the distribution. Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness of a random variable X (the third moment centered on the mean, normalized by the 3/2 power of the variance) of the beta distribution is depended on shape parameters α and β.

Related formulas## Variables

γ | Skewness (dimensionless) |

β | Shape parameter (β>0) (dimensionless) |

α | Shape parameter (α>0) (dimensionless) |