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Sample 1. The probability that a flight will have a
delayed departure and/or a delayed arrival is .30. The
probability that a flight will have a delayed departure is .20.
The probability that it will have a delayed arrival is .15. If a
flight has just had a delayed departure, what is the probability
that it is going to arrive late?
Sample 2. Suppose you roll two dice. Consider the two
events:
- X: the sum is even.
- Y: the white die exceeds the black die (W >
B).
Are these two events independent?
Sample 3.
a. Suppose you roll a fair 6-sided die. Let X be a random
variable for the result squared. Calculate E(X).
b. A random variable Z has
probability density function:
-
Graph the PDF.
-
Calculate E(Z).
Sample 4.
Consider the linear function
q
=
Mp
defined by:

What is
?
Sample 5. Consider the function: h(x,y)
= xy2. Calculate its gradient at the point
(2,5).
Sample 6. Fit a
tangent hyper-plane approximation to the function f(x,y,z)
= x + y2 + z3 at the
point (1,2,3). (Hint: You will be using either a derivative,
gradient or Jacobian based upon the dimensions of the domain and
the dimensions of the range.)
Sample 7. Suppose random variable X is
lognormal with mean 1.1 and standard deviation 0.25. Use a
standard normal table to calculate Pr(X < .9).
Sample 8. If an asset’s log return Q is
normally distributed, what distribution must its future price
C have? Explain your answer.
Sample 9. A portfolio’s market value depends upon an
underlier U. Suppose the current value of the underlier
is $12.50, and at that value, the portfolio’s market value is
$56MM. Assume the portfolio’s delta and gamma are, respectively,
4MM and 1MM.
a. Construct a delta-gamma approximation for the portfolio’s
value P(U).
b. Use your delta-gamma approximation to approximate what the
portfolio’s value would be if the underlier’s value immediately
rose by $1.5. |