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#reading-10-common-probability-distributions

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

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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