Brake wear: For a sample of 9 automobiles, the mileage (in 1000 s of miles) at which the original front brake pads wereworn to 11% of their original thickness was measured, as was the mileage at which the original rear brake pads were worn to11% of their original thickness. The results were as follows:Car RearFront141.232.7235.927.646.835.546.3 38.238.629.251.943.951.341.246.737.646.138.03456789Send data to ExcelPart: 0 / 2Part 1 of 2(a) Construct a 95% confidence interval for the difference in mean lifetime between the front and rear brake pads. Let drepresent the mileage of the rear pads minus the mileage of the front ones. Round the answers to two decimal places.A 95% confidence interval for the mean difference in lifetime between front and rear brake pads iskua <ParPart: 1 / 2of 2X(b) An automotive engineer claims that the mean lifetime for rear brake pads is more than 10,000 miles more than themean lifetime for front brake pads. Does the confidence interval contradict this claim?Because the confidence interval (Choose one) ▼values above 10 (in 1000s of miles), it (Choose one)theclaim that the mean lifetime for front brake pads is more than 10,000 miles more than the mean lifetime for rear brakepads.XS

Followings are the Explanation of the Question Use the Paired t test to Construct the 95 %…

Answered: Part 1 of 2 (a) Construct a 95%…

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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B. What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000 chirps per minute is____°F. C. What is wrong with this predicted value? The first variable should have been the dependent variable. It is unrealistically high. The value 3000 is far outside of the range of observed values. It is only an approximation. An unrounded value would be considered accurate. Nothing is wrong with this value. It can be treated as an accurate prediction.
Togetherness Are good grades in high school associatedwith family togetherness? A random sample of 142 highschool students was asked how many meals per weektheir families ate together. Their responses produced a mean of 3.78 meals per week, with a standard devia-tion of 2.2. Researchers then matched these responses against the students’ grade point averages (GPAs). The scatterplot appeared to be reasonably linear, so they cre-ated a line of regression. No apparent pattern emerged in the residuals plot. The equation of the line wasGPA = 2.73 + 0.11 Meals.a) Interpret the y-intercept in this context.b) Interpret the slope in this context.c) What was the mean GPA for these students?d) If a student in this study had a negative residual, whatdid that mean?e) Upon hearing of this study, a counselor recommendedthat parents who want to improve the grades theirchildren get should get the family to eat together moreoften. Do you agree with this interpretation? Explain.
Introduction to StatisticsI Few problems (Lecture 9 – Chapter 10) 10.32 A manufacturer of electronic kits has found that the mean time required for novices to assemble its new circuit tester is 3 hours, with a standard deviation of 0.20 hours. A consultant has developed a new instructional booklet intended to reduce the time an inexperienced kit builder will need to assemble the device. In a test of the effectiveness of the new booklet, 15 novices require a mean of 2.90 hours to complete the job. Assuming the population of times is normally distributed, and using the 0.05 level of significance, should we conclude that the new booklet is effective? Determine and interpret the p-value for the test.
The number of heart surgeries performed at a hospital has increased over the past several years. The hospital’s administration is seeking the best method to forecast the demand for such surgeries in Year 6. The data for the past five years is shown. Year Demand 1 130 2 139 3 135 4 144 5 141 The hospital is considering the following forecasting methods. Compare the performance of these methods using the mean squared error (MSE). Begin error measurements in year 3 so all methods are compared for the same years. Exponential smoothing, with α = 0.5. let the initial forecast for year 1= 130, the same as the actual demand. Two-year simple moving average Two-year weighted moving average, using weights 0.7 and 0.3, with more recent data given more weight. Solve this problem on a separate paper. Then, use the results to complete the tables provided below, save the file and then submit it on E-learning. 1- Exponential smoothing: Year Forecast…
Iq and lead exposure. A sample of subjects with low lead levels in their blood was taken and another random sample was taken with high levels of lead in their blood. Use a 0.05 significant level to test claim that iq score of people p le w low lead levels is higher than the mean iq score of people w higher lead levels. Use p value approach LLL N =78 SAMPLE MEAN=92.88 S=15.34 HLL N=21 SM= 86.90 S=8.99
A man runs 1 mile approximately once per weekend. He records his time over an 18-week period. The individual times and summary statistics are given in Table 1. (5 points)Table 1 One mile running time for an individual, over 18 weeks wk Time (min)(xi) wk Time (min)(xi) 1 12.80 10 11.57 2 12.20 11 11.73 3 12.25 12 12.67 4 12.18 13 11.92 5 11.53 14 11.67 6 12.47 15 11.80 7 12.30 16 12.33 8 12.08 17 12.55 9 11.72 18 11.83 1: What is the mean 1 mile running time over 18 weeks? 2: What is standard deviation of the 1 mile running time over 18 weeks? 3: Suppose the man does not run for 6 months over the winter due to snow on the ground. He resumes running once a week in the spring and records a running time = 12.97 minutes in his first week of running in the spring. ls this an outlying value relative to the distribution of running times recorded the previous year in Table 1? Why or why not? Hint: Construct a Box plot based on the data in Table 1 and assess whether this…
please answer correctly and give me the right answer
Part 1 of 3 A researcher was investigating the size of math departments in Texas colleges. She believed the population standard deviation was 1.9. A sample of 42 colleges found their mean was 12.5. Find the 3-decimal small value of the 95% confidence interval of the mean. Part 2 of 3: Find the 3-decimal large value of the 95% confidence interval of the mean. Part 3 of 3: Find the 3-decimal margin of error
5.1 & 6.2 Question 13, 6.1.34 Part 1 of 2 Use the confidence interval to find the estimated margin of error. Then find the sample mean. HW Score: 44.29%, 15.5 of 35 O Points: 0 of 1 A store manager reports a confidence interval of (44.8,83.8) when estimating the mean price (in dollars) for the population of textbooks. The estimated margin of error is (Type an integer or a decimal.) Clear all his View an example Get more help - Q Search
The mean change in muscle thickness observed after a 4-week training regimen was 4 mm, and the 95% confidence interval (CI) for mean change was (-0.5, 8.5). Which is the best scientific conclusion for the effectiveness of this regimen ?
In a Gallup poll of 1040 randomly selected adults, 49% answered "yes" when asked "Do you have a gun in your home?" Identify the sample Identify the population Is the value of 49% a statistics or a parameter? Are the numbers of subjects in such surveys discrete or continuous? The responses are “yes,” “no,” “not sure,” ”refused to answer.” Are these answers quantitative data or categorical data? Also, determine whether the sample is likely to be representative of the population.
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