Depending on the characteristics of the random variable, a probability distribution may be either discrete or continuous.
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Subject 1. Basic Definitions e random variable X can assume is called a discrete probability distribution. It is a theoretical model for the relative frequency distribution of a population.
A random variable is a quantity whose future outcomes are uncertain. <span>Depending on the characteristics of the random variable, a probability distribution may be either discrete or continuous.
A discrete variable is one that cannot take on all values within the limits of the variable. It can assume only a countable number of possible values. For example, response
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