the FAA changed its guidelines for how small commuter airlines must estimate passengerweights. Under the old rule, airlines used 160 pounds as a typical passenger weight (includingcarry-on luggage) in warm months. A journal reported that an airline conducted a study toestimate average passenger plus carry-on weights. They found an average summer weight of14aß pounds. Suppose that each of these estimates was based on a random sample of 100passengers and that the sample standard deviations were 15 pounds for the summer weights.Construct a 95% confidence interval for the mean summer weight (including carry-on luggage)of this airline's passengers. (Show the detailed steps, and round your answer to three decimalplaces.)

Let μ be the population mean summer weight of airline passengers. Given that, Sample mean (x¯)=14…

Answered: ghts. Construct a 95% confidence…

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 random sample of high school students is used to estimate the mean time all high school students study for Algebra 11 tests. A 99% confidence interval based on this sample is 1.7 hours to 3.1 hours. What is the sample mean?(X with bar on top of it.)
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Question # 3
The following data are the monthly salaries and the grade point averages for students who obtained a bachelor's degree in mathematics. GPA: 2.6, 3.4, 3.6, 3.2, 3.5, and 2.9; Monthly Salary: 3300, 3600, 4000, 3500, 3900, and 3600. Develop a 95% prediction interval for the expected value of y when x 3.6. Explain.
The following regression is fitted using variables identified that could be related to student requestedloan amount, LOAN-AMT($) for returning students of a certain University. ????−??? = ? + ? ?????? + ? ???? + ? ????Where ACCEPT = the percentage of applicants that was accepted by the university, PREV = previous loan amount and OUTS =outstanding loan amountThe data was processed using MNITAB and the following is an extract of the output obtained:EXHIBIT 2Predictor Coef StDev T PConstant -26780 6115 * 0.000ACCEPT 116.00 37.17 3.14 0.003PREV -4.21 14.12 -0.30 **OUTS 70.85 15.77 4.49 0.000S = 2685 R-Sq = 69.6% R-Sq(adj) = 67.7%Analysis of VarianceSource DF SS MS F PRegression 3 808139371 269379790 37.37 0.00Residual Error 49 353193051 7208021Total 52 1161332421a)What is dependent and independent variables? b)Fully write out the regression equation c)What is the sample size used in this investigation? d)Fill in the blanks identified by ‘*’ and ‘**’. e)Is β significant, at the 5% level of…
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do the last one please

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ghts. Construct a 95% confidence interval for the mean summer weight (including carry-on luggage) of this airline's passengers. (Show the detailed steps, and round your answer to three decimal places.)