MATLAB: An Introduction with Applications
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ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Car tyres come in many different brands. Even on a car, the tyres can wear out after travelling different distances, due to cornering, braking and wheel alignment. Manufacturers of car tyres are interested in the average distance in kilometres travelled by tyres, or the lifetime of tyres until they are considered un-usable and need to be replaced. At this time a tyre is considered un roadworthy
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- This problem set deals with the problem of non-constant acceleration. Two researchers from Fly By Night Industries conduct an experiment with a sports car on a test track. While one is driving the car, the other will look at the speedometer and record the speed of the car at one- second intervals. Now, these aren't official researchers and this isn't an official test track, so the speeds are in miles per hour using an analog speedometer. The data set they create is: {(1,5), (2, 2), (3, 30), (4, 50), (5, 65), (6,70)} Z = 25 They notice that the acceleration is not a constant value. They decide that a fourth-degree polynomial will be the best to describe the speed of the car as a function of time. The task here is to determine the fourth-degree polynomial that fits this data set the best. 1. Construct the system of normal equations A¹ Ax = A¹b. AT A = АТЬ= 2. Solve the system of normal equations. (I don't want you doing this by hand. Use a calculator or app.) x =arrow_forwardAt wind speeds above 1000 centimeters per second (cm/sec), significant sand-moving events begin to occur. Wind speeds below 1000 cm/sec deposit sand and wind speeds above 1000 cm/sec move sand to new locations. The cyclic nature of wind and moving sand determines the shape and location of large dunes. At a test site, the prevailing direction of the wind did not change noticeably. However, the velocity did change. Sixty-five wind speed readings gave an average velocity of x = 1075 cm/sec. Based on long-term experience, ? can be assumed to be 255 cm/sec. (a) Find a 95% confidence interval for the population mean wind speed at this site. (Round your answers to the nearest whole number.) lower limit ______cm/sec upper limit _____cm/secarrow_forwardGRAPHS FOR QUESTION B1 10 8 6 4 2 10 8 20 40 60 Stat Scores Thre Lodl 40 60 80 History Scores 6 4 2 10 8 6 4 2 10 8 6 20 bur 40 60 80 100 Math Scores 4 2 20 Inda 40 60 80 100 English Scores 20 80arrow_forward
- It is extremely important for a researcher to clearly define the varibales in a study because this helps to determine the type of analysis that can be performed on the data. For example, if a researcher wanted to describe people based on Social Security number, what level of measurement would the variable "Social Security number" be? Now suppose the researcher felt that certain people who lived farther ease received higher numbers. Does the level of measurement of the variable change? If so how? What is the level of measurement of the variable "Social Security number"in the origiinal scenario?arrow_forwardAnswer parts d through f pleasearrow_forward2. Bombardier Aerospace is the third largest airplane manufacturer in the world and has its main headquarters in Dorval, Québec. The Dash 8 series of turboprop airliners are built by Bombardier and are designed to need very short takeoff and landing strips. Suppose that a Dash 8 airplane is travelling from Edmonton to Kelowna, a trip of about 600 km (by air), at a speed of 450 km/h. Let w represent the speed of the wind, in kilometres per hour, where w is positive for a tailwind and negative for a headwind, and t represent the time, in hours, it takes to fly. The equation that represents t as a function of w is as follows: t = 500 w+ 400arrow_forward
- This problem set deals with the problem of non-constant acceleration. Two researchers from Fly By Night Industries conduct an experiment with a sports car on a test track. While one is driving the car, the other will look at the speedometer and record the speed of the car at one- second intervals. Now, these aren't official researchers and this isn't an official test track, so the speeds are in miles per hour using an analog speedometer. The data set they create is: {(1,5), (2, 2), (3, 30), (4, 50), (5, 65), (6,70)} Z = 25 They notice that the acceleration is not a constant value. They decide that a fourth-degree polynomial will be the best to describe the speed of the car as a function of time. The task here is to determine the fourth-degree polynomial that fits this data set the best. 1. Construct the system of normal equations A¹ AX = A¹b. AT A = A¹b = 2. Solve the system of normal equations. (I don't want you doing this by hand. Use a calculator or app.) x =arrow_forwardThis problem set deals with the problem of non-constant acceleration. Two researchers from Fly By Night Industries conduct an experiment with a sports car on a test track. While one is driving the car, the other will look at the speedometer and record the speed of the car at one- second intervals. Now, these aren't official researchers and this isn't an official test track, so the speeds are in miles per hour using an analog speedometer. The data set they create is: {(1, 5), (2, z), (3, 30), (4, 50), (5, 65), (6,70)} Z = 25 They notice that the acceleration is not a constant value. They decide that a fourth-degree polynomial will be the best to describe the speed of the car as a function of time. The task here is to determine the fourth-degree polynomial that fits this data set the best. 1. Use a general fourth-degree polynomial and Fly By Night's data to construct six equations. Note that the equations are linear in the coefficients. Write the equations here: 2. Construct the…arrow_forwardplease show workarrow_forward
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