Random Variables

2. The ________ of a random variable is the expected value of the squared deviation from the mean.
3. A ______ variable assumes any of several different numeric values as a result of some random event.
7. A random variable that can take any numeric value within a range of values is called a __________ random variable.
9. The _______ value of a random variable is its theoretical long-run average value, the center of its model.
11. In general, multiplying each value of a random variable by a constant multiplies the mean by the constant and the variance by the _____ of the constant
13. When two independent continuous random variables have ______ models, so does their sum or difference.
14. The variance of the sum of two independent random variables is the sum of their ___________ variances.

1. Var(X+-Y) = Var(X) + Var(Y) is the __________ theorem of statistics.
4. A random variable that can take one of a finite number^3 of distinct outcomes is called a ________ random variable.
5. The expected value can also be called ____.
6. The probability ______ is a function that associates a probability P with each value of a dis- crete random variable X.
8. Make a picture is another job for ____ diagrams
10. We often use the standard deviation to measure __________.
11. The ________ deviation of a random variable describes the spread in the model, and is the square root of the variance.
12. If the random variables are ___________, the variance of their sum or difference is always the sum of the variances.