A discrete random variable takes isolated values, each with its own probability: the list of these values with their probabilities is its distribution. From here one defines mean, variance and standard deviation, and one meets the three fundamental discrete models: the binomial (independent trials with replacement), the Poisson (rare events) and the hypergeometric (draws without replacement from a finite population), together with the link that unites the first two to the third.