The probability mass function can be described as a frequency function. It is useful for characterizing the allocation of a discrete random variable. It is defined on all R values, where it resorts to all the arguments of a real number. It does not represent the value of X if the argument is equivalent to zero or if the argument belongs to X. The value of the PMF always needs to be positive. The probability mass function often refers to the primary component of describing a discrete probability distribution. But it is not the same as the probability density function, which can result in distinct outcomes. It is the primary reason behind the usage of probability mass function in statistical modeling and computer programming. In other words, PMF can relate discrete events to the probabilities associated with their occurrence. The word “mass” is used for denoting probabilities concentrated on discrete events. PMF solutions range between numbers of discrete random variables. It utilizes various random variables that are discrete.