a) From a long period of observation, the average numbers of cars passingthrough a junction from 10:00 AM to 11:00AM are listed in Table 1-1.i)Day 1 Day 255108 96nTable 1-1Day 3 Day 4Day 4 Day 5 Day 6108 156 1200,Determine the ratio distribution function using the piecewise-linearmethod.ii) Design an algorithm to simulate the random process.Note that the distribution function to fit a data set can be obtained by:F(x)Day 780x-xi+1 (n − 1)(Xi+1 − Xi)1,x < x ₁;X₁ ≤ x ≤ X₁+1, for i = 1,..., n - 1;xzXn.where F(x) is the distribution function, x₁, i = 1, 2, ..., n are samples.

Day 1Day 2Day 3Day 4Day 5Day 6Day 7551089610815612080

Answered: a) From a long period of observation,…

Calculus: Early Transcendentals

8th Edition

ISBN:9781285741550

Author:James Stewart

Publisher:James Stewart

Chapter1: Functions And Models

Section: Chapter Questions

Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...

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The table provided below shows paired data for the heights of a certain country's presidents and their main opponents in the election campaign. Construct a scatterplot. Does there appear to be a correlation? Click the icon to view the data table for election heights. Construct a scatterplot. Choose the correct graph below. OA. В. C. D. 200- 200- 200- 200- 160+ 160 President's height 160+ 160 President's height 160+ 160 President's height 160- 160 President's height 200 200 200 200 Does there appear to be a correlation between the president's height and his opponent's height? A. Yes, there appears to be a correlation. As the president's height increases, his opponent's height increases. B. Yes, there appears to be a correlation. The candidate with the highest height usually wins. C. Yes, there appears to be a correlation. As the president's height increases, his opponent's height decreases. D. No, there does not appear to be a correlation because there is no general pattern to the data.…
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