Suppose, probability of a discrete random variable. X is p[X = xi] = p(xi), where i = 1, 2, 3, ……, n, p(xi) > 0 and
\(\sum\limits_{i=1}^n\,P(x_i)=1\)
then set of real values {p(x1), p(x2), ……… p(xn)} is called probability distribution of a discrete random variable X. In tabular form it is written as follows:
Properties of discrete probability distribution:
- For each value x of X. p(x) > 0.
- Σ(x) = 1
