#### Suzanne Evans

##### Well-Known Member

*AIMs: Define, calculate, and interpret the mean, standard deviation, and variance of a random variable.*

**Questions:**

303.1. Assume a continuous probability density function (pdf) is given by f(x) =a*x such that 0 ≤ x ≤ 12, where a is a constant (we can retrieve this constant, knowing this is a probability density function):

What is the mean of (x)?

a. 5.5

b. 6.0

c. 8.0

d. 9.3

303.2. Assume a continuous probability density function (pdf) be given by f(x) = a*x^2 such that 0 ≤ x ≤ 3, where a is a constant (that we can find).

Let us arbitrarily define the unexpected loss (UL) as the difference between this distribution's mean and its 5.0% quantile function; i.e., UL(X) = mean (X) - inverse CDF(5%)(X). We could call this a 95% relative VaR since it is relative to the mean. What is this UL?

a. 0.62

b. 1.14

c. 2.05

d. 3.37

303.3. Assume the following probability density function (pdf) for a random variable X:

What is the variance of X?

a. 2.0

b. 3.3

c. 4.1

d. 5.7

**Answers:**