40-Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the criticalvalue tax/2. (b) find the critical value Zα/2, or (c) state that neither the normal distribution nor the t distribution applies.30-The confidence level is 90%, o=3960 thousand dollars, and the histogram of 58 player salaries (in thousands ofdollars) of football players on a team is as shown.CSelect the correct choice below and, if necessary, fill in the answer box to complete your choice.OA. ta/2=(Round to two decimal places as needed.)OB. Zα/2=(Round to two decimal places as needed.)O C. Neither the normal distribution nor the t distribution applies.Frequency20-10-0-04000 8000 12000 16000 20000Salary (thousands of dollars)✔

Given: The confidence level is 90%, σ = 3960 thousand dollars, and the histogram of 58 player…

Answered: Assume that we want to construct a…

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 manufacturer of computer chips has a computer hardware company as its largest customer. The computer hardware company requires all of its chips to meet specifications of 1.2 cm. The vice-president of manufacturing, concerned about a possible loss of sales, assigns his production manager the task of ensuring that chips are produced to meet the specification of 1.2 cm. Based on the production run from last month, a 95% confidence interval was computed for the mean length of a computer chip resulting in:95% confidence interval: (0.9 cm, 1.1 cm) What are the elements that the production manager should consider in determining his company's ability to produce chips that meet specifications? Do the chips produced meet the desired specifications? What reasons should the production manager provide to the vice-president to justify that the production team is meeting specifications?
A manufacturer of computer chips has a computer hardware company as its largest customer. The computer hardware company requires all of its chips to meet specifications of 1.2 cm. The vice-president of manufacturing, concerned about a possible loss of sales, assigns his production manager the task of ensuring that chips are produced to meet the specification of 1.2 cm. Based on the production run from last month, a 95% confidence interval was computed for the mean length of a computer chip resulting in:95% confidence interval: (0.9 cm, 1.1 cm) What are the elements that the production manager should consider in determining his company's ability to produce chips that meet specifications? Do the chips produced meet the desired specifications? What reasons should the production manager provide to the vice-president to justify that the production team is meeting specifications? How will this decision impact the chip manufacturer's sales and net profit? My class is called quantitative…
A manufacturer of computer chips has a computer hardware company as its largest customer. The computer hardware company requires all of its chips to meet specifications of 1.2 cm. The vice-president of manufacturing, concerned about a possible loss of sales, assigns his production manager the task of ensuring that chips are produced to meet the specification of 1.2 cm. Based on the production run from last month, a 95% confidence interval was computed for the mean length of a computer chip resulting in:95% confidence interval: (0.9 cm, 1.1 cm) What are the elements that the production manager should consider in determining his company's ability to produce chips that meet specifications? Do the chips produced meet the desired specifications? What reasons should the production manager provide to the vice-president to justify that the production team is meeting specifications? How will this decision impact the chip manufacturer's sales and net profit?
A manufacturer of computer chips has a computer hardware company as its largest customer. The computer hardware company requires all of its chips to meet specifications of 1.2 cm. The vice-president of manufacturing, concerned about a possible loss of sales, assigns his production manager the task of ensuring that chips are produced to meet the specification of 1.2 cm. Based on the production run from last month, a 95% confidence interval was computed for the mean length of a computer chip resulting in:95% confidence interval: (0.9 cm, 1.1 cm) Do the chips produced meet the desired specifications? What reasons should the production manager provide to the vice-president to justify that the production team is meeting specifications? How will this decision impact the chip manufacturer's sales and net profit?
a. From the first student's data, what percentage of men used turn signals, and what percentage of women used them? of men used turn signals, and of women used them. (Round to one decimal place as needed.) b. From the first student's data, assuming the conditions are met (although admittedly this was not a random selection), find a 95% confidence interval for the difference in percentages (men−women).State whether the interval captures 0, and explain whether this provides evidence that the proportions of men and women who use signals differ in the population. The 95%confidence interval for the difference in percentages (men−women) is (. %. %) (Round to one decimal place as needed.) c. From the second student's data, first find the percentage of men and the percentage of women who used turn signals, and then, assuming the conditions are met, find a 95% confidence interval for the difference in percentages. State whether the interval captures 0, and explain…
Suppose that a random sample of eighteen recently sold houses ina certain city has a mean sales price of $295,000, with a standard deviation of $6000. Under the assumption that house prices are normally distributed, find the 95% confidence interval for the mean sales price of all houses in this community. Complete the following: A. What is the lower limit of the confidence interval? $ B. What is the upper limit of the confidence interval? $
In a sample of n=19 lichen specimens, the researchers found the mean and standard deviation of the amount of the radioactive element, cesium-137, that was present to be 0.009 and 0.006 microcurie per milliliter, respectively. Suppose the researchers want to increase the sample size in order to estimate the mean μ to within 0.002 microcurie per milliliter of its true value, using a 95% confidence interval.
if you are looking to find t sigma/2 Critical value for 90% confidence interval with n=14 and s=4. using t table, what would be the answer?
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The sample mean and the sample standard deviation of annual returns on a stock over a 12-year period as computed by a stock analyst were 18% and 12%, respectively. The analyst wantsto know if the risk, as measured by the standard deviation, differs from 15%.a. Construct a 90% confidence interval of the population variance and the population standarddeviation.b. What assumption is required in constructing the confidence interval?c. Based on the above confidence interval, does the risk differ from 15%
It was determined as a 95% confidence interval (17.55; 22.45), which was drawn in a normally distributed population and obtained with the assumption that the mean is x = 20 and the population standard deviation σ = 5. Accordingly, what value is taken as the sample size in the related process?

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