n the first column of our table, we see the set of possible values of our random variable, X. This variable X is classified as a discrete random variable because it takes a fixed set of possible numerical values and it is not possible to get any value in between. The probability distribution of a discrete random variable X describes all possible values of the random variable, as well as the probability associated with each value. A discrete probability distribution is often presented in a table or graph. Discrete probability distributions can be represented with a table or bar graph. The following graph represents the probability distribution for the discrete variable number of tails in 3 flips of a coin. The graph includes the possible outcomes of the discrete variable and the probability associated with each outcome. We can see the probabilities are identical to the relative frequency values we calculated in the previous table.in the first column of our table, we see the set of possible values of our random variable, X. This variable X is classified as a discrete random variable because it takes a fixed set of possible numerical values and it is not possible to get