Thinking Like an Engineer: An Active Learning Approach (3rd Edition)
3rd Edition
ISBN: 9780133593211
Author: Elizabeth A. Stephan, David R. Bowman, William J. Park, Benjamin L. Sill, Matthew W. Ohland
Publisher: PEARSON
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Chapter 19, Problem 20RQ
The variable grade can have any real number value from 0 to 100. Ask the user to enter a grade in numerical form. Write an if-elseif-else statement that displays the letter grade (any format) corresponding to a numerical grade in an appropriately formatted output statement.
Use the standard 1 0-point grading scale:
A: 90 ≤ grade
B: 80 ≤ grade < 90
C: 70 ≤ grade < 80
D: 60 ≤ grade < 70
F: grade ≤ 60
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Please provide the correct matlab code for the following question.
Could you change the lines in to two lines just like it shows in the graph . Make it exactly those two lines. Keep the colors and the same.
Use this code on MATLAB and fix it.
% Sample data for Diesel and Petrol cars
carPosition = linspace(1, 60, 50); % Assumed positions of cars
% Define your seed here
seed = 50;
rand('seed',seed); % Set the seed for reproducibility
% Assumed CO2 emissions for Diesel and Petrol
CO2Diesel = 25 + 5*cos(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Diesel
CO2Petrol = 20 + 5*sin(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Petrol
% Fit polynomial curves with a reduced degree of 2
pDiesel = polyfit(carPosition, CO2Diesel, 2);
pPetrol = polyfit(carPosition, CO2Petrol, 2);
% Generate points for best fit lines
fitDiesel = polyval(pDiesel, carPosition);
fitPetrol = polyval(pPetrol, carPosition);
% Combined best fit
combinedFit = (fitDiesel + fitPetrol) / 2;
% Plotting the data
figure; hold on;
% Define the split index and shorten…
Chapter 19 Solutions
Thinking Like an Engineer: An Active Learning Approach (3rd Edition)
Ch. 19.1 - Prob. 1CCCh. 19.2 - Prob. 2CCCh. 19.2 - Prob. 3CCCh. 19.3 - Write MATLAB code to represent the following...Ch. 19.3 - Prob. 5CCCh. 19.3 - Prob. 6CCCh. 19.4 - A device constructed to throw various objects can...Ch. 19 - Answer the following questions. a. For what...Ch. 19 - Answer the following questions. a. For what...Ch. 19 - For each task listed, write a single MAT LAB...
Ch. 19 - Prob. 4ICACh. 19 - What is stored in variable A after each of the...Ch. 19 - What will be displayed by the following code in...Ch. 19 - Prob. 7ICACh. 19 - Prob. 8ICACh. 19 - Write a program using if-elseif-else statements...Ch. 19 - Write a program using switch-case statements that...Ch. 19 - Prob. 11ICACh. 19 - We go to a state-of-the-art amusement park. All...Ch. 19 - A phase diagram for carbon and platinum is shown....Ch. 19 - The specific gravity of gold is 19.3. Write a...Ch. 19 - An unmanned X-43A scramjet test vehicle has...Ch. 19 - A rod on the surface of Jupiter's moon Callisto...Ch. 19 - The Eco-Marathon is an annual competition...Ch. 19 - Assume a variable R contains a single number....Ch. 19 - Prob. 6RQCh. 19 - Create a program to determine whether a...Ch. 19 - Create a program to determine whether a given Mach...Ch. 19 - Humans can see electromagnetic radiation when the...Ch. 19 - For the protection of both the operator of a...Ch. 19 - Prob. 11RQCh. 19 - Prob. 13RQCh. 19 - Prob. 14RQCh. 19 - Prob. 15RQCh. 19 - Assume you are required to generate the menus...Ch. 19 - Assume you are required to generate the menus...Ch. 19 - Prob. 18RQCh. 19 - Assume you are required to generate the menus...Ch. 19 - The variable grade can have any real number value...Ch. 19 - Write a MATLAB program that will allow the student...Ch. 19 - One of the 14 NAE Grand Challenges is Engineering...Ch. 19 - Prob. 23RQ
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- Hi I need help to make the line change into a different color, I half of the line to be orange and I need the other half of the line towards the end to be purple as shown in the picture. Also I need there be a box saying Diesel, petrol, diesel best fit, petrol best fit. This part is also shown in the graph. Please use this code and fix it in MATLAB: % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Fix the random seed for reproducibility rng(50); % Assumed positions of cars CO2Diesel = 25 + 5*cos(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Diesel CO2Petrol = 20 + 5*sin(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Petrol % Fit polynomial curves pDiesel = polyfit(carPosition, CO2Diesel, 3); pPetrol = polyfit(carPosition, CO2Petrol, 3); % Generate points for best fit lines fitDiesel = polyval(pDiesel, carPosition); fitPetrol = polyval(pPetrol, carPosition); % Combine the best fit lines combinedFit =…arrow_forwardQUESTION 2 Consider the following dataset and separator. What is the width of margin (distance between the two paralel lines )? Please use real numbers instead of rations. Eg, f your result is1/2, enter 0.5 w.x+b = +1 w.x+b =0 w.x+b= -1 2.0 0. 05 VW.warrow_forwardCould you please fix my code it’s supposed to look like the graph that’s on the picture. But the lines do not cross eachother at the beginning. Could you make the lines look like the lines on the graph? Use this code in MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Define your seed here seed = 50; rand('seed',seed); % Set the seed for reproducibility % Assumed CO2 emissions for Diesel and Petrol CO2Diesel = 25 + 5*cos(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Diesel CO2Petrol = 20 + 5*sin(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Petrol % Fit polynomial curves with a reduced degree of 2 pDiesel = polyfit(carPosition, CO2Diesel, 2); pPetrol = polyfit(carPosition, CO2Petrol, 2); % Generate points for best fit lines fitDiesel = polyval(pDiesel, carPosition); fitPetrol = polyval(pPetrol, carPosition); % Plotting the data figure; hold on; % Plot Diesel best fit line…arrow_forward
- I need help with the purple line the line that you see one the graph on the picture needs to be on the graph. Use this code to add the purple line and make sure it’s crossing the orange line. Please make sure the lines are positioned the same way it is shown on the picture with the graph. Use this code on MATLAB and add the purple line. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Use the 'seed' function instead of 'rng' seed = 50; % Define your seed here rand('seed',seed); % Assumed CO2 emissions for Diesel and Petrol CO2Diesel = 25 + 5*cos(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Diesel CO2Petrol = 20 + 5*sin(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Petrol % Fit polynomial curves with a reduced degree of 2 pDiesel = polyfit(carPosition, CO2Diesel, 2); pPetrol = polyfit(carPosition, CO2Petrol, 2); % Generate points for best fit lines fitDiesel = polyval(pDiesel, carPosition);…arrow_forwardplease sovle part (I) and give me the formulas used in excel Try to find a result less than 50 for the questionarrow_forwardI need help solving problems 7, 8, and 9 pertaining to the print attached below.arrow_forward
- Posted below is a picture of a data table and a diagram of an experiment. In the experiment you rolled a marble down a ruler ramp off the end of a coffee table to observe projectiles and conservation of energy. You do 3 trials for each initial height. Each height is measured in meters. h= initial height of marble off of table Y= height of table off floor X= horizontal distance marble goes from edge of table to where it strikes the floor a) use the table to find information you need to solve for theoretical range and % of error in measured range.arrow_forwardpart b pleasearrow_forwardHello I’m trying to make the graph that you see in the picture, I’m trying the exact copy of that graph using this code but I’m having a hard time doing that. Could you change the code so that it looks like the graph that you see on the picture using MATLAB, please send the code when you are finished. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Fix the random seed for reproducibility rng(45); % Assumed positions of cars CO2Diesel = 25 + 5*cos(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Diesel CO2Petrol = 20 + 5*sin(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Petrol % Fit polynomial curves pDiesel = polyfit(carPosition, CO2Diesel, 3); pPetrol = polyfit(carPosition, CO2Petrol, 3); % Generate points for best fit lines fitDiesel = polyval(pDiesel, carPosition); fitPetrol = polyval(pPetrol, carPosition); % Plotting the data figure; hold on; scatter(carPosition, CO2Diesel, 'o', 'MarkerEdgeColor', [1 0.5…arrow_forward
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