describe what is meant by a binomial (or bernoulli) distribution
Binomial distribution In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own boolean-valued outcome: a random variable containing single bit of information: success/yes/true/one (with probability p) or failure/no/false/zero (with probability q = 1 − p). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment and a sequence of outcomes is called a Bernoulli process; for a single trial, i.e., n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance.
Distribution (marketing) Distribution is fundamentally concerned with ensuring that products reach target customers in the most direct and cost efficient manner. In the case of services, distribution is principally concerned with access.[1] Although distribution, as a concept, is relatively simple, in practice distribution management may involve a diverse range of activities and disciplines including: detailed logistics, transportation, warehousing, storage, inventory management as well as channel management including selection of channel members and rewarding distributors. [2]