AP statistics chapter 16 by Stats modelling the world third edition by David E. Bock

● Vocab- Random variable - A random variable assumes any of several different
numeric values as a result of some random event. Random variables are denoted
by a capital letter such as X.
● Discrete random variable - A random variable that can take one of an infinite
number of distinct outcomes is called a discrete random variable.
● Continuous random variable - A random variable that can take any numeric value
within a range of values is called a continuous random variable. The range may
be infinite or bounded at either or both ends.
● Probability model - The probability model is a function that associates a
probability P with each value of a discrete random variable X, denoted or with any
interval of values of a continuous random variable.
● Expected value - The expected value of a random variable is its theoretical
long-run average value, the center of its model. It is found by summing the
products of variable values and probabilities.
● Picture - We can use the probability model for a discrete random variable to find
its expected value and its standard deviation.

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