In which quadrant must the terminal side of 8 lie if tan 8> 0 and sec 8 < 0

Section 5.1 and 5.3: Continuous Probability Distributions Discrete random variable: a random variable that can have a finite number of values or an infinite sequence of values Continuous random variable: a random variable that may assume any numerical value in an interval or collection of intervals Probability distributions describe how the probabilities are distributed over the values of a random variable o Discrete variable X: use probability mass function f(X) o Continuous variables: use probability density function f(x) F(x) >= 0 for all x The area under the graph of f(x) must be equal to 1 Uniform distribution if: o F(x) = 1/(ba) for a<=x<=B, or F(x) = 0 otherwise Density functions is a