MO21. A civil engineer is analyzing the compressive strength of concrete. Compressive strength is normally distributed withpopulation variance equal to 991(psi)^2. A random sample of 12 specimens has a mean compressive strength of 3317 psi.Construct a 95% two-sided confidence interval on mean compressive strength. The upper limit of the Cl of the Cl is Blank 1 inthe blank provided up to 2 decimal places. Show all necessary solutions in the submission for both upper and lower limit.Blank 1Add your answer

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Answered: MO21. A civil engineer is analyzing the…

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 46 adult coyotes in a region of northern Minnesota showed the average age to be x = 2.01 years, with sample standard deviation s = 0.72 years. However, it is thought that the overall population mean age of coyotes is μ = 1.75. Do the sample data indicate that coyotes in this region of northern Minnesota tend to live longer than the average of 1.75 years? Use α = 0.01. State the null and alternate hypotheses. H0: μ < 1.75 yr; H1: μ = 1.75 yr H0: μ > 1.75 yr; H1: μ = 1.75 yr H0: μ = 1.75 yr; H1: μ ≠ 1.75 yr H0: μ = 1.75 yr; H1: μ > 1.75 yr H0: μ = 1.75 yr; H1: μ < 1.75 yr (b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution. The standard normal, since the sample size is large and σ is known. The Student's t, since the sample size is large and σ is unknown. The standard normal, since the sample size is large and σ is unknown. The Student's t, since the sample size is large and σ is known. What…
In the manufacture of electroluminescent lamps, several different layers of ink are deposited onto a plastic substrate. The thickness of these layers is critical if specifications regarding the final color and intensity of light are to be met. Let X1 and X2 denote the thickness of two different layers of ink. It is known that X1 is normally distributed with a mean of 0.1 mm and a standard deviation of 0.00031 mm, and X2 is also normally distributed with a mean of 0.23 mm and a standard deviation of 0.00017 mm. Assume that these variables are independent. Let T as in the total thickness. a.) Find the estimated ink total thicknessb.) Find the estimated standard deviation of the ink total thickness
A random sample of 10 size AA batteries for toys yield a mean of 2.87 hours with standard deviation, 0.69 hours. Find the critical value, t*, for a 99% CI and the margin of error for a 99% CI. Give both to 3 decimal places.
A fiber-spinning process currently produces a fiber whose strength is normally distributed with a mean of 75 N/m2. The minimum acceptable strength is 65 N/m2 . Ten percent of the fiber produced by the current method fails to meet the minimum specification. What is the standard deviation of fiber strengths in the current process? If the mean remains at 75 N/m2, what must the standard deviation be so that only 1% of the fiber will fail to meet the specification? If the standard deviation is 5 N/m2, to what value must the mean be set so that only 1% of the fiber will fail to meet the specification?
A random sample of six steel beams has mean compressive strength of 58.392 psi (pounds per square inch) with a standard deviation of s = 648 psi. Test the null hypothesis H, = u = 58,000 psi against the alternative hypothesis H; H> 58,000 psi at 5% level of significance (value for I at 5 degree of freedom and 5% significance level is 2.0157). Here I denotes the population mean (A.MIE, Summer 2000)

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