1. For a continuous random variable x, the probability density function f(x) represents

a. the probability at a given value of x
a. the area under the curve at x
c. the area under the curve to the right of x
d. the height of function at x

2. The uniform probability distribution is used with

a. a continuous random variable
b. a discrete random variable
c. a normally distributed random variable
d. any random variable, as long as it is not nominal

3. In a standard normal distribution, the range of values of z is form

a. minus infinity to infinity
b. -1 to 1
c. 0 to 1
d. -3.09 to 3.09

4. The function that defines the probability distribution of a continuous random variable is a

a. normal function
b. uniform function
c. either normal of uniform depending on the situation
d. probability density function

5. The exponential probability distribution is used with

a discrete random variable
b. a continuous random variable
c. any probability distribution with an exponential term
d. an approximation of the binomial probability distribution.