If X is a

discrete random variable, then a better way of describing it is to give its probability distribution function (pdf) or probability mass function (pmf), an array that contains all its values [x.

Age (18-70) and years of education (1-17) are measured as continuous random variables, while the others are measured as

discrete random variables.

Using the variables Y and y, where Y is a

discrete random variable with a range equal to all possible sampled values of carrier power and y is a specific power value of Y, the PDF of Y is said to be the percentage of time that the power is equal to y, expressed as PDF = P(y) = 100 [multiplied by] P(Y = y), where y ranges over all values in Y, 0 [less than or equal to] P(y) [less than or equal to] 100 percent.

Let Z be a

discrete random variable taking values z = ([z.

For instance, in the coin-tossing game we can build a

discrete random variable X that takes the value 1 if the event "head" is realized and the value minus 1 if the event "tail" is realized.

If X(S) is a most countable in R, then X is a

discrete random variable.

It uses the vast quantity of available baseball records to teach such matters as descriptive statistics for one quantitative variable, sports betting, probability distribution functions for a

discrete random variable, confidence intervals, and streaking.

Suppose that N is a

discrete random variable with the property that P(N = n) > 0 for each positive integer n.

The method used to construct a time series of a probability that a

discrete random variable X = x, x = 1, 2 is conditioning on another

discrete random variable Y, Y = 1, 2, 3 which is observable both in the archaeological record and in an ethnographic cross-cultural database.