Beta distribution (variance)

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. Variance measures how far a set of numbers is spread out. Variance is always non-negative: a small variance indicates that the data points tend to be very close to the mean (expected value) and hence to each other, while a high variance indicates that the data points are very spread out around the mean and from each other.The variance (the second moment centered on the mean) of a Beta distribution random variable X is depended on the shape parameters α and β.

Related formulas

Variables

varBeta distribution (variance) (dimensionless)
αShape parameter (α>0) (dimensionless)
βShape parameter (β>0) (dimensionless)