What factors determine whether a person chooses car or bus to travel to work? That is an interestingquestion. Suppose that you analyze this simple transportation problem using the probit model. Thevariables in the model are defined as follows:autotimecommute time via auto, minutescommute time via bus, minutes=(bus time - auto time)/10, 10 minute units= 1 if auto chosenbustimedtimeautoThe probit model you estimate isP(AUTO = 1) = ¤(ß1 + B2DTIME).The estimates of the parameters are: -0.0788 + 0.400DTIME.The marginal effect of increasing public (bus) transportation time, given that travel via publictransportation currently takes 15 minutes longer than auto travel isA) 0.348B) 0.139C) 0.307D) 0.123E) None of the above (A, B, C, D) is close to be correct.

Marginal effects let us know how a reliant variable (result) changes when a particular autonomous…

Answered: What factors determine whether a person…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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A small bank is trying to determine how many tellers to employ. The total cost of employing a teller is $10 per hour, and a teller can serve an average of 120 customers per day. An average of 100 customers per day arrive at the bank, and both service times and interarrival times are exponential. If the delay cost per customer- hour is $10 and bank is working 8 hours per day, how many tellers should the bank hire?
Please try to solve it with in 40 minutes please i need help
suppose tht a queueing system has two identical servers, and an exponential service-time distribution with a mean of 1/u=10minutes. furthermore, a customer has just arrived to find two in the system. how long would you expect him to wait before being able to start service? Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
Discuss how the principle of queues can be used when designing queueing schemes to reduce overall service costs?
Consider the table attached below:Assuming an M/M/1 setup, a service rate of 18 customers every 10 minutes, and a traffic intensity of 0.90.Assume a probability density function characterized by the exponential distribution.i). Compute the corresponding variates.ii). How robust is the above derived density function?
Car owners fill up when their tanks are exactly half full. At the present time, an average of 8.5 cars/hr arrive at a single-pump gas station. It takes an average of 3.68 minutes to service a car. Suppose that a gas shortage occurs and panic buying takes place. All car owners now purchase gas when their tanks are exactly 3/4 full. Since each car is putting less gas into the tank for each visit, the average service time has been reduced to 2.54 minutes. Assume that arrival and departure rates are both exponential. What is the difference in length of queue before and after the shortage scenario, in terms of vehicles? answer an absolute value, and in four decimal places.
Consider a Poisson queue with the following steady-state probabilities: po = 1/3, p1 = 1/2, p2 = 1/6, and pn = for n = 3,4,5, ... . What is the minimum number of stools that would accommodate all customers in the system at least 75% of the time in steady state? 3 stools O 2 stools none of the other choices O 1 stool
The Peachtree Airport in Atlanta serves light aircraft. It has a single runway and one air traffic controller to land planes. It takes an airplane 12 minutes to land and clear the runway (following an exponential distribution). Planes arrive at the airport at the rate of one every 15 minutes. The arrival rate follows a Poisson distribution. A plane is considered to have entered the “system” once it has notified the airport that it is in the vicinity and wants to land. For purposes of this analysis, you can ignore the planes taking off. a) Determine the average number of planes that are in the system waiting to land. b) Find the average time a plane is in the system either waiting to land or landing. c) What is the probability that a plane approaching the airport will find at least two other that are already in the “system” that is waiting to land? d) Suppose that the cost assigned to a plane while it is waiting to land (in the stack) is $1,000…
a. The probability that the time between any two successive arrivals exceeds20 minutes
An emergency room (ER) at a Prisma Health Hospital has 10 total beds it can hold patients, i.e., the capacity of the queueing system of this ER is 10. Patients arrive to the ER at a rate of 5 per hour. Therefore, we have that λn = 6 for n = 0, 1, . . . , 9 and λ10 = 0 for this queueing system. A patient is seen by an ER doctor as the ‘service’ of this queueing system. The amount of time required for an ER doctor to treat a patient is exponentially distributed with a mean of .4 hours. We seek the minimum number of ER doctors so that the expected time of a patient waiting to be seen (so the Wq) is less than or equal to 15 minutes (.25 hours). You should begin by analyzing s = 1 and show any calculations that were used to determine Wq for each number of servers that you considered until you meet the target metric.
For a single-server queue of 10 customers whose arrival and service time is given below in the table. Complete the below given table. Customer Arrival Time ti Inter Arrival Time Ai=ti—ti-1 Service Begins (Sb) Delay Time (Di) Service Time (Si) Calculate Ci=ti+Di+Si 1 7:00 7:02 6 2 7:08 7:12 4 3 7:11 7:16 1 4 7:13 7:19 5 5 7:18 7:25 10 6 7:36 7:39 2 7 7:40 7:44 3 8 7:45 7:48 3 9 7:49 7:52 4 10 7:55 7:57 3 Find the average service time and average delay time. Average Service Time= Average Delay Time=
11. Automobiles arrive at a tollbooth on a highway completely at random according to a Poisson process with rate À = 4 cars per hour. Determine the following: a. The probability that the time between any two successive arrivals exceeds 20 minutes. b. The probability that exactly four cars arrive in any given hour. c. The probability that more than five cars arrive in any given hour. d. The probability that more than 10 cars arrive in any given two-hour period. e. A person working for the transportation department begins counting arrivals at the tollbooth at 8 A.M. What is the probability that he counts 20 arrivals before 12 noon? (Use a normal approximation for your calculations.)

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