In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or in terms of two positive parameters, denoted by alpha (α) and beta (β), that appear as exponents of the variable and its complement to 1, respectively, and control the shape of the distribution.
CDF for symmetric beta distribution vs. x and α = β
CDF for skewed beta distribution vs. x and β = 5α
Mode for Beta distribution for 1 ≤ α ≤ 5 and 1 ≤ β ≤ 5
Median for Beta distribution for 0 ≤ α ≤ 5 and 0 ≤ β ≤ 5
Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms. Typically these axioms formalise probability in terms of a probability space, which assigns a measure taking values between 0 and 1, termed the probability measure, to a set of outcomes called the sample space. Any specified subset of the sample space is called an event.
The normal distribution, a continuous probability distribution