1. Probability Distributions

2. A sample space is the set of all possible outcomes in a distribution. Distributions can be discrete or continuous.

3. The value of a random variable is the numerical outcome of a random event. Discrete random variables represent countable values. Continuous random variable can take on any value.

4. Ex. 1 Identify the random variable in each distribution, and classify it as discrete or continuous. a.The number of songs found on a random selection of mp3 players b.the weights of football helmets sent by a manufacturer

5. A probability distribution for a particular random variable is a function that maps the sample space to the probabilities of the outcomes in the sample space. – Can be represented by tables, equations, or graphs. – Can be theoretical or experimental

6. Law of Large Numbers states that the variation in a data set decreases as the sample size increases.