Modern aircraft cockpit windscreens are complex items, comprisingseveral layers of material and a heating system. Such windscreens arereplaced upon damage to any of their components. A dataset wascollected on the times to replacement of n = 84 windscreens ofparticular modern airliner. The sample mean windscreen replacementtime was 23515 hours of flight. The sample standard deviation ofwindscreen replacement times was 5168 hours of flight.(i) Obtain an approximate 90% confidence interval for the meanreplacement time of this type of aircraft windscreen. Whatproperty of the dataset justifies using this type of confidenceinterval, and why?(ii) Interpret the particular confidence interval that you found inpart (a)(i) in terms of repeated experiments.

Let μ be the population mean windscreen replacement time. Given that, Sample size (n) = 84 Sample…

Answered: (i) Obtain an approximate 90%…

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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A new drug to treat high cholesterol is being tested by pharmaceutical company. The cholesterol levels for 27 patients were recorded before administering the drug and after. The 99% confidence interval for the true mean difference in total cholesterol levels (after - before) was (-78.82, -31.18). Which of the following is the appropriate conclusion? Question 4 options: 1) We are 99% confident that the average difference in cholesterol levels is positive, with the higher cholesterol levels being before the drug regimen. 2) We are 99% confident that the average difference in cholesterol levels is positive, with the higher cholesterol levels being after the drug regimen. 3) We are 99% confident that the average difference in cholesterol levels is negative, with the higher cholesterol levels being before the drug regimen. 4) We are 99% confident that the average difference in…
Males and females were asked what they would do if they received a $100 bill in the mail that was addressed to their neighbor, but had been incorrectly delivered to them. Of the 70 males sampled, 55 said yes they would return it to their neighbor. Of the 130 females sampled, 120 said yes. We want to construct a 90% confidence interval estimate for the difference between the true proportion of males who say they would return the money to their neighbor and the true proportion of females who say they would return the money to their neighbor. Choose the best option for the result of constructing that interval. O -226 < p1 -p2 < +.003 O-226 < p1 -p2 <.-.048 O -243 < p1 -p2 < -.031
(f) Suppose you and your business associates rent a store, get a bank loan to start up your business, and do a little research on the size of your sales district and the number of competing stores in the district. If x2 = 2.8, x3 = 250, x4 = 3.1, x5 = 7.3, and x6 = 2, use a computer to forecast x1 = annual net sales and find an 80% confidence interval for your forecast (if your software produces prediction intervals). (Use 2 decimal places.) forecast lower limit upper limit (g) Construct a new regression model with x4 as the response variable and x1, x2, x3, x5, and x6 as explanatory variables. (Use 2 decimal places for the intercept, 4 for x1, 5 for x3, and 3 otherwise.) x4 = + x1 + x2 + x3 + x5 + x6 Suppose an All Greens store in Sonoma, California, wants to estimate a range of advertising costs appropriate to its store. If it spends too little on advertising, it will not reach enough customers. However, it does not want to overspend on advertising for this type…
A computer store near campus is stocking its shelves and wants to know the relative proportions of students who use PCs vs Macs. A random sample of 60 students is surveyed, and each student is asked whether they use a PC or Mac more often. 55% select ”PC.” (a) What is the population and what is the sample in this study? (b) Calculate a 95% confidence interval for the proportion of UCI students that are PC users. (c) Provide an interpretation of this confidence interval in the context of this problem. (d) The confidence interval is pretty wide and leaves a lot of uncertainty over the proportion of UCIundergarduates who use PCs. With the goal to estimate a narrower 95% confidence interval, what is a simple change to this study that you could suggest for the next time that a similar survey is conducted?
How would i find: the 90% confidence interval is enter your response here <(p1−p2)< enter your response here.
you conducted additional studies with these men and found the following: a. The RR for those who drank one drink per day was 1.50 (95% CI:1.32-1.67) in comparison to the abstainers. b. For those men who drank three or more drinks per day the RR compared to the abstainers was 4.20 (95% CI 2.68-5.85). Question: We can tell from the Confidence Intervals provided in #7 whether there are likely more people in the “one drink a day” group or the “3+ drinks per day” group. Which one likely has more people and how can we tell?
#1

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