34. Two individuals, A and B, both require kidney transplants. If she does not re-ceive a new kidney, then A will die after an exponential time with rate uA, andB after an exponential time with rate u B. New kidneys arrive in accordancewith a Poisson process having rate . It has been decided that the first kidneywill go to A (or to B if B is alive and A is not at that time) and the next one toB (if still living).(a) What is the probability that A obtains a new kidney?(b) What is the probability that B obtains a new kidney?(c) What is the probability that neither A nor B obtains a new kidney?(d) What is the probability that both A and B obtain new kidneys?Act

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A club recruit members either through active recruitment by its current members or through advertising in neighborhood billboards. Suppose that each member of the club recruit new members at a rate of 3 members per week and that advertising in neighborhood billboards generate new members at a rate of 2 members per week. Suppose further that each member is expected to stay a club member for 1 week, on average. Assume that the number of members of the club at any given time follows a birth and death process. Given that the club started with 5 members, what is the expected number of club members after the first two weeks?
Suppose that the login times to a computer network follows a Poisson process with an average of 4 logins per minute. Find the probability of exactly 6 logins in 2 minutes.
A grasshopper hops between three flowers, labelled 1, 2, 3. It starts from flower 1. Once it arrives at a flower, it sits there for a period of time distributed exponentially with parameter 2. Then it makes a jump, as follows: if it is located on flower 1, it jumps to 2 or 3 with equal probability; if it is located at 2, it jumps to 3, and if it is at 3, it jumps to 2. (a) Model the grasshopper using a continuous-time Markov chain. Find the states, the initial distribution and the jump rates! (b) What is the probability that at time t the grasshopper will sit on the third flower?
3. 3 jobs, with i.i.d. runtimes each U[0, 1], are to be run in parallel on 2 processors. By how much time does the expected flowtime decrease if the schedule is changed from a best fixed schedule to a best schedule with recourse?
On average, 24 customers per hour arrive in the checkout line of a clothing store (following a Poisson process). The service times of the store are exponentially distributed with an average of 2.3 minutes. When there are less than 5 customers in the checkout area (queue and attended), the store keeps only one box open. If there are from 5 to 9, then the store operates with two open boxes to pay. If there are more than 9 clients then open 3 boxes. 1. On average, how many customers are there in line? 2. What is the probability of having 2 or more open cash registers?
The observation on the time series variable Y made at date t is denoted as Y, and the total number of observations is denoted as T. Suppose Y represents GDP of a country. A researcher has the past 10 years of GDP data, from 2009 to 2019. Yj is the GDP for the year t-j (j=t,., T, and t=0, 1, 2,.., 10) and Y; is the GDP for the current year. The researcher wants to estimate the first four autocorrelations, p, =1,.., 4), using this data. Suppose Var(Y,) = 19.16. Also assume that the first four autocovariance estimates are as follows: j=1 j=2 j=3 j=4 15.98 13.69 12.76 11.14
Pedestrians approach a crossing from the left and right sides following independent Poisson processes withaverage arrival rates of λL = 5 and λR = 1 arrivals per minute. Each pedestrian then waits until a lightis flashed, at which time all waiting pedestrians must cross to the opposite side (either from left to right orfrom right to left). Assume that the left and right arrival processes are independent, that the light flashesevery T = 2 minutes, and that crossing takes zero time – it is instantaneous.1. What is the probability that in a particular crossing, there are total 10 pedestrian and they are allcrossing from left to right?
Moore’s portable X-ray equipment repair service shop receives an average of 6 portable X-ray sets per 8-hour day to be repaired. Moore would like to be able to tell his customers that they can expect one day service. What average repair time per set will the repair shop have to achieve to provide 1-day service on average? Assume that the arrival rate is Poisson distributed and repair times are exponentially distributed.
Consider two types of call arrivals to a cell in a mobile telephone network: new calls that originate in a cell and calls that are handed over from neighboring cells. It is desirable to give preference to handover calls over new calls. For this reason, some of the channels in the cell are reserved for handover calls, while the rest of the channels are available to both types of calls. = = Suppose that all calls arrive in a cell according to a Poisson process with rate Anc 125 calls per hour for new calls, and λho 50 calls per hour for handover calls. The cell has a capacity of 10 channels. Each call occupies 1 channel and the call time has an exponential distribution with mean two minutes. Suppose that no channels are reserved for handover calls. (a) Calculate the blocking probability in the cell and find the average number of channels used. (b) When a call has to wait, find its average waiting time.
6.
Question 5. A professor decides to run an experiment to measure the effect of time pressure on final exam scores. He gives each of the 400 students in his course the same final exam, but some students have 90 minutes to complete the exam while others have 120 minutes. Each students is randomly assigned one of the examination times based on the flip of a coin. Let Y, denote the number of points scored on the exam by the ith student (0 ≤ Y ≤ 100), let X, denote the amount of time that the student has to complete the exam (X, = 90 or 120), and consider the regression model Yi = Bo + BiXitu. (1) Explain what the term u, represents. Why will different students have different values of ui? (2) Explain why E(u₁|X₁) = 0 for this regression model. (3) The Least Squares Assumptions Yi Bo + B₁Xi + Ui, i = 1,..., n, where I The error term u, has conditional mean zero given X₂: E(ui Xi) = 0; II (X₁, Yi), i 1,, n, are independent and identically distributed (i.i.d.) draws from their joint…
In time-series decomposition, seasonal factors are calculated by Multiple Choice O O O O O SFt (Y) (CMA). SFt= Y/CMAt (CMA+) x (SFt) =Yt. SFt = Yt - CMAt. None of the options are correct.

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