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Contents probability mass function Cumulative Distribution Function(CDF) Bernoulli and the binomial probability distribution Discrete probability distribution The probability distribution is created based on the probability of each point or each interval in the sample space. Such a probability can be written as a function, and if the event (random variable) that is the object of the probability is a discrete variable, it is called probability mass function (PMF). Also, if it is a continuous variable, it is called probability density function (PDF). In both cases, the sum of each probability in a constant variable interval is called Cumulative Probability Distribution Function (CDF). The probability distribution can be expressed visually as a correspondence between the values ​​of each random variable and a function. The shape of these distributions tends to follow the distributions implemented by a particular function. Therefore, various statistical methods can be applied by a...