Car rental. A car rental agency has facilities at both JFK and LaGuardia airports. Assume that a car rented at either airport must be returned to one or the other airport. If a car is rented at LaGuardia, the probability that it will be returned there is .8 ; if a car is rented at JFK. the probability that it will be returned there is .7 . Assume that the company rents all its 100 cars each day and that each car is rented (and returned) only once a day. If we start with 50 cars at each airport, then (A) What is the expected distribution on the next day? (B) What is the expected distribution 2 days later?
Car rental. A car rental agency has facilities at both JFK and LaGuardia airports. Assume that a car rented at either airport must be returned to one or the other airport. If a car is rented at LaGuardia, the probability that it will be returned there is .8 ; if a car is rented at JFK. the probability that it will be returned there is .7 . Assume that the company rents all its 100 cars each day and that each car is rented (and returned) only once a day. If we start with 50 cars at each airport, then (A) What is the expected distribution on the next day? (B) What is the expected distribution 2 days later?
Solution Summary: The author calculates the expected distribution on the next day, if a car rental agency has facilities at both JFK and LaGuardia airports.
Car rental. A car rental agency has facilities at both JFK and LaGuardia airports. Assume that a car rented at either airport must be returned to one or the other airport. If a car is rented at LaGuardia, the probability that it will be returned there is
.8
; if a car is rented at JFK. the probability that it will be returned there is
.7
. Assume that the company rents all its
100
cars each day and that each car is rented (and returned) only once a day. If we start with
50
cars at each airport, then
(A) What is the expected distribution on the next day?
(B) What is the expected distribution
2
days later?
Q3*) Consider the integral
I
Yn, Y₁, Y2, . . ., Y'n) dã,
[F(x, Y 1, Y2, · · Yng)
= -
where y1, 2, ...y are dependent variables, dependent on x. If F is not explicitly dependent on x, deduce
the equivalent of the Beltrami identity. Optional: Give an example of a function F(y1, Y2, Y₁, y2), and write
down the Euler-Lagrange equations and Beltrami Identity for your example. Does having this Beltrami Identity
help solve the problem?
Write an integral that is approximated by the following Riemann sum. Substitute a
into the Riemann sum below where a is the last non-zero digit of your banner ID.
You do not need to evaluate the integral.
2000
(10
1
((10-a) +0.001) (0.001)
Solve the following problem over the interval from x=0 to 1 using a step
size of 0.25 where y(0)= 1.
dy
=
dt
(1+4t)√√y
(a) Euler's method. (b) Heun's method
Chapter 9 Solutions
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
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Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License