Chapter 16 - Random Variables

random variable

assumes any of several different numeric values as a result of some random event

discrete random variable

a random variable that can take one of a finite number of distinct outcomes

continuous random variable

a random variable that can take any numeric value within a range of values

probability model

is a function that associates a probability P with each value of a discrete random variable X, or with any interval of values of a continuous random variable

expected value

is a random variable's theoretical long-run average value, the center of its model

variance

is a random variable's expected value of the squared deviation from the mean

standard deviation

describes the spread in the model, and is the square root of the variance of a random variable