Q2 Cars arrive at a parking lot at a rate of 20 per hour. Assume that a Poisson process model isappropriate. Answer the following questions. No derivations are needed but a justification of youranswers is necessary.Q2 (iv.) Assume that the lot opens at 8 a.m. what is the expected time at which the tenth cararrives at the parking lot.Q2(v.) What is the expected waiting time between the arrival of the 10th and 11th car?Q2(vi.) How is the waiting time between the arrival times of 10th and 12th car distributed? Writethe density function of the waiting time.

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Answered: Q2 Cars arrive at a parking lot at a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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An automotive company measured the position of a test car during a 50 second time period during two trial test runs. Trial 1 Trial 2 Time (T) [sec] 20 Position (P) Position (P) [m] [m] 1439 984 25 1791 824 30 2059 1164 35 1564 1396 40 1930 1844 45 2569 2298 50 2308 1691 55 3241 2358 60 3238 2389 65 3952 2691 70 3635 2478 We are interested in obtaining the linear relationship between the time (T) and position (P). During Trial 1, analysis showed the automobile position followed the relationship P = 48.9*T + 320 You are expected to develop a similar relationship for Trial 2. You should consider time as the independent variable X, and position as the dependent variable Y. a) Calculate E X;. b) Calculate E Y;. c) Calculate EX;X¡. d) Calculate E Y,Y;. e) Calculate Σ Χ.,Y, f) Using the least squares approach, calculate the slope m and y-intercept b for the straight line which best fits the data for Trial 2. You may NOT use Excel. g) Calculate the coefficient of correlation, r, for the line…
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During registration at Tech every quarter, students in theDepartment of Management must have their coursesapproved by the departmental advisor. It takes the advisoran average of five minutes (exponentially distributed) toapprove each schedule, and students arrive at the adviser’s office at the rate of 10 per hour (Poisson distributed). Com-pute L, Lq, W, Wq, and . What do you think about this system? How would you change it?
For a Branching process with p0=.1, p1=.8 and p2=.1. Find π0, the probability the population goes extinct. Round answer to 4 decimals.
Calculate the power of this study given the following information: A population of people with bad money-saving habits needs an intervention. The amount of money they save monthly is µ = 0 with a σ = 42. Researchers hypothesize that watching the HGTV show Flip or Flop will encourage these folks to save money (e.g., to help save for a down payment on a new house). The researchers hypothesize that this “treatment” will increase scores in a sample of n = 36 by $40, to a new population mean of µ = 40. a. What is the power of this study, given a two-tailed hypothesis and an α = .05?
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help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working
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A sample of n = 64 scores has a mean of M = 45 and an estimated standard error of 3 points. What is the sample variance? Select one: a. s2 = 113 b. s2 = 576 c. s2 = 498 d. s2 = 502
I'm working on inflation forecasting with quarterly inflation data for 1960 to 2022 using ARIMA model. The initial data is non-stationary. After the first differencing, based on the results of the p-value, it shows that the data is stationary. Then plot the ACF and PACF after first differencing, as attached pictures.With the graph of ACF and PACF, how can I define p, d, q for my ARIMA (p, d, q) model?Thankyou
G:26) Joe and Jill are selling fishing licenses in two separate booths located in different parts of the Edmonton Sportsmen Show. They expect to sell a total (between both of them) of 519 licenses over 20 hours (assume Poisson arrivals and that each of them will sell equal amounts). The average time needed to sell a fishing license is 1.7 minutes (assume negative exponential service time). How many minutes per hour, on average, (rounded to two decimals) should Joe expect to be idle?

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