The distribution may in some cases be listed. Statisticians use the following notation to describe probabilities:p(x) = the likelihood that random variable takes a specific value of x.The sum of all probabilities for all possible values must equal 1. A probability distribution is a table or an equation that links each outcome of a statistical experiment with its probability of occurrence. Probability Distribution: It is simply a statistical function that explains complete probable values and likelihoods that are accounted for by a random variable in a given range. Probability Distribution Prerequisites. random variables, and some notation. In other cases, it is presented as a graph. Mean – it represent the average value which is denoted by µ (Meu) and measured in seconds. Probability distributions indicate the likelihood of an event or outcome. What is a Probability Distribution? To understand probability distributions, it is important to understand variables. Furthermore, the probability for a particular value or range of values must be between 0 and 1.Probability distributions describe the dispersion of the values of a random variabl… A distribution represent the possible values a random variable can take and how often they occur. Variance – it represent how spread out the data is, denoted by σ 2 (Sigma Square). • The Bernoulli distribution, which takes value 1 with probability p and value 0 with probability q = 1 − p. A probability distribution is a function or rule that assigns probabilities to each value of a random variable.

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