10.4 Problems on Functions of Random Variables
Deriving the distribution of Z = g(X) — exponential decays, present values of future costs — by mapping value conditions on Z back through g.
Applied Probability, 10.4 Problems on Functions of Random Variables
13 exercises
10.4 Exercise 1
Suppose X is a nonnegative, absolutely continuous random variable. Let , where . Then . Use properties of the exponential and natural log function to show that
10.4 Exercise 2
Use the result of the exercise to show that if exponential , then
10.4 Exercise 3
Present value of future costs. Suppose money may be invested at an annual rate a, compounded continually. Then one dollar in hand now, has a value at the end of x years. Hence, one dollar spent x years in the future has a present value. Suppose a device put into operation has time to failure (in years) exponential . If the cost of replacement at failure is C dollars, then the present value…
10.4 Exercise 4
Optimal stocking of merchandise. A merchant is planning for the Christmas season. He intends to stock m units of a certain item at a cost of c per unit. Experience indicates demand can be represented by a random variable Poisson . If units remain in stock at the end of the season, they may be returned with recovery of r per unit. If demand exceeds the number originally ordered, extra units ma…
10.4 Exercise 5
(See Example 2 from "Functions of a Random Variable") The cultural committee of a student organization has arranged a special deal for tickets to a concert. The agreement is that the organization will purchase ten tickets at $20 each (regardless of the number of individual buyers). Additional tickets are available according to the following schedule:
- 11-20, $18 each
- 21-30, $16 each
- 31-50, $15 e…
10.4 Exercise 9
For the pair in the exercise, let . Determine and plot the distribution function for Z.
10.4 Exercise 10
For the pair in the exercise, let
Determine and plot the distribution function for W.
10.4 Exercise 11
for , (see Exercise 15 from "Problems on Random Vectors and Joint Distributions").
Determine
10.4 Exercise 12
for , (see Exercise 17 from "Problems on Random Vectors and Joint Distributions").
Determine .
10.4 Exercise 13
for , (see Exercise 18 from "Problems on Random Vectors and Joint Distributions").
Determine .
10.4 Exercise 14
, for , (see Exercise 19 from "Problems on Random Vectors and Joint Distributions").
Determine .
10.4 Exercise 16
The class is independent.
. Minterm probabilities are (in the usual order)
. The class is independent with
Z has distribution
Determine .
10.4 Exercise 17
The simple random variable X has distribution
- Plot the distribution function FX and the quantile function QX.
- Take a random sample of size . Compare the relative frequency for each value with the probability that value is taken on.
Adapted from Applied Probability © 2009 Paul E. Pfeiffer. Licensed under CC BY 3.0. Source: Applied Probability. Imported at revision d7a0420.