Task-3. A vehicle manufacturing company wishes to check the ability of how well three types of steel-alloy panels resistcorrosion when three different paint types are applied. The three paints are used to co at the three panels having differentsteel-alloy composition. Here is the data that is found out regarding the weathering resistance of the ability of the threepainted panels.Paint type123Steel-Alloy 1405447Steel-Alloy 2515556Steel-Alloy 3565050Use a two-way ANOVA procedure to determine whether any difference in the ability of the panels to resist corrosion maybe assigned to either the type of paint or the steel-alloy composition of the panels. (Note: You may use Excel to solve that,but the ANOVA table need to be handwritten and explained).

From the given information, the three paints are used to coat the three panels having different…

Answered: Task-3. A vehicle manufacturing company…

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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Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven. Full data set Car 1 211 215 234 212 247 264 260 164 256 251 171 319 292 313 252 Car 2 236 216 207 230 250 246 223 264 254 299 261 253 254 255 263
StarHortons Cup, the coffee company, wants to determine how long caffeine lasts throughout the day when individuals have a cup of one of their 3 types of coffee at 9am. They will then measure the levels of caffeine in these individuals’ systems at 10am, 12am, 2pm, 4pm, 6pm and 8pm. They want to have at least 20 observations per group. How many separate/distinct groups of participants are needed if they want to conduct this experiment using a mixed-measures ANOVA? 18 6 20 3
The production department of Celltronics International wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. As an experiment, 2 employees were assigned to assemble the subassemblies. They produced 11 during a one-hour period. Then 4 employees assembled them. They produced 18 during a one-hour period. The complete set of paired observations follows. Number ofAssemblers One-HourProduction (units) 2 11 4 18 1 5 5 23 3 18 The dependent variable is production; that is, it is assumed that different levels of production result from a different number of employees. Click here for the Excel Data File Draw a scatter diagram. On the graph below, use the point tool to plot the point corresponding to the first Number of Assemblers and her Production (No of Assemblers1). Repeat the process for the remainder of the sample (No of Assemblers2,…
In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 475 eggs in group I boxes, of which a field count showed about 274 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 796 eggs in group II boxes, of which a field count showed about 274 hatched. (a) Find a point estimate p1 for P1, the proportion of eggs that hatch in group I nest box placements. Find a 99% confidence interval for p1. (Use 3 decimal places.) P1 lower limit upper limit (b) Find a point estimate p2 for p2, the proportion of eggs that hatch in group II nest box placements. Find a 99% confidence interval for p2. (Use 3 decimal places.) lower limit upper limit (c) Find a 99% confidence interval for p1 – P2. (Use 3 decimal places.) lower limit upper limit Does…
Consider the traffic flow described by the following diagram. The letters A through D label intersections. The data was obtained by counting the number of vehicles that travelled around the four one-way streets between the hours of 6 am to 10 am, and 2 pm to 6 pm during the mid-week peak traffic hours. The arrows in the diagram indicate the direction of flow of traffic in and out of the network that is measured in terms of number of vehicles per hour (vph). 3a) Write the system of linear equations for each intersection. 3b) Use Gauss-Jordan elimination to solve the system.
Which of the following best describes the relationship between the variables on the scatter plot below? 11 10 15 4 3. 2 1 1234 56 7 8 9 10 11 12 13 O A. linear association OB. no association OC. non-linear association OD. linear and non-linear association
Page 34 Compute the correlation coe cient, r, for the following table: X 10 y 5 12 15 16 1 4 6 18 1 9 7 8 1 25 12 14 17 3 6
A U.S. magazine, Consumer Reports, carried out a survey of the calorie and sodium content of a number of diﬀerent brands of hotdog. There were two types of hotdog: beef, ’meat‘ (mainly pork and beef but can contain up to 15% poultry) and poultry. The results below are the calorie content of the diﬀerent brands of beef and poultry hotdogs. Beef hotdogs: 186,181,176,149,184,190,158,139,175,148,152,111,141,153,190,157,131,149,135,132 Poultry hotdogs: 129,132,102,106,94,102,87,99,170,113,135,142,86,143,152,146,144 Using six steps of hypothesis testing, determine if there is a strong evidence that the calorie content of poultry hotdogs is lower than the calorie content of beef hotdogs.
Determine whether the scatterplot shows little or no association, a negative association, a linear association, a moderately strong association, or a very strong association (multiple associations are possible). A. Negative association, linear association, very strong association B. Negative association, linear association C. Linear association, moderately strong association D. Negative association, moderately strong association E. Linear association, very strong association
The following table lists highway miles (in MPG) and weight (in pounds) for a variety of cars, foreign and domestic (same data as before). CAR HWY WEIGHT Chev. Cavalier 31 2795 Lincoln Cont. 24 3930 Mitsubishi Eclipse 33 3235 Olds. Aurora 26 3995 Pontiac Grand Am 30 3115 Chev. Corvette 28 3220 BMW 3-Series 27 3225 Ford Crown Victoria 24 3985 Hyundai Accent If we let x be the weight and y be the Highway MPG, and we used Excel to compute the equation of the Least- 37 2290 Square regression line (which comes out to be y = -0.00672'x + 51.1156) as well as the correlation coefficient (which comes out to be -0.89). Then you used that equation to predict that the Highway Miles for a car that weighs just 1000 pounds would be 44.4 mpg. I think this prediction is accurate because the person used Excel for the computation. O I think this prediction is not accurate since a car that weighs 1000 pounds is not part of the original data list. O Ithink this prediction is not accurate because the person…
32)
ONLY DO D, E, F, G, and H

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