A manufacturer of automobile shock absorbers was interested in comparing the durability ofits shock absorbers with that of the shock absorbers produced by its biggest competitor. Tomake the comparison, one of the manufacturer's and one of the competitor's shock absorberswere randomly selected and installed on the rear wheels of each of six cars. After the cars hadbeen driven 20,000 kilometres, the strength of each test shock absorbers was measured, codedand recorded. It is given that the population variances are equal for both groups. The results ofthe examination are shown in the Table below.Manufacturer's shock absorbersCar number18.8Competitor's shock absorbers8.410.1210.5312.512.049.79.359.69.0613.213.0Determine whether there is sufficient evidence to conclude that there is a difference in the meanstrength of the two types of shock absorbers after 20,000 kilometres of use by using a level ofsignificance of 0.05.

Table for the result of examination can be shown as, Car Manufacturer Competitor Difference 1…

Answered: with that of the shock absorbers pro…

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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Roy ‘s Texaco wants to keep the price of its unleaded gasoline competitive with that of other stations in the area. Roy’s is currently charging $1.29 per gallon. To check that the average price for this gasoline for all stations within a 15 mile radius is higher than his price, Roy randomly samples the price of unleaded gasoline at ten stations located in this area. He obtains the following data for the price per gallon (in dollars): 1.7, 1.5, 2.6, 2.2, 2.4, 2.3, 2.6, 3.0, 1.4, 2.3 Set up the appropriate hypotheses and test them using a significance level of α= .05
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18. We want to study the relationship between size (sq. m) and the price of houses. We randomly chose 25 houses and recorded the size and price of them. The excel output for the data is given below: Regression statistics: Multiple R: 0.586378154 R Square: 0.343839339 Adjusted R Square: 0.315310615 Standard Error: 34761.73162 Observations: 25 df SS MS F SignificanceF Regression 1 14563843876 1.46E+10 12.05239 0.0020659 Residual 23 27792693660 1.21E+09 Total 24 42356537536 Coefficients StandardError T stat P-value lower95% upper95% Lower95.0% upper95.0% Intercept 189769.0334 28557.61831 6.645128 8.85E-07 130693.1 248844.968 130693.1 248844.968 Size (sq.meter) 444.1951525 127.9490924 3.471655 0.002066 179.51229 708.878016 179.51229 708.878016 Write down your answers to (a)-(c) in the box below. Give your answers to 4 decimal places. Write down 95% confidence interval for the slope of the relationship between price and size. We want to…
Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.
Review Question 5D and 5E please do both. 5D) pH of a solution: 4.5532 4.5511 4.5501 4.5545 5E) Mass of a random object: 16.3356 g 16.3359 g 16.3352 g 16.3350 g
Please answer the question on the attachment.
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with that of the shock absorbers pro -n, one of the manufacturer's and one cted and installed on the rear wheels o kilometres, the strength of each test sh iven that the population variances are