A soft-drink bottler purchases nonreturnable glass bottles from a supplier. The lower specification on burstingstrength in the bottles is 225 psi. The bottler wishes to use variables sampling to sentence the lots undernspection level IV and AQL of 1%. The lot size is N = 100,000. Using the MIL STD 414, a variable sampling planbased on variability unknown is given by:(A) Sample size (n) =(B) The critical distance under normal inspection (k) =Suppose that a lot is submitted, and the sample results yield an average of 255 psi and standard deviation of 10psi.(C) Using Procedure 1, should the lot be accepted? (Yes or No)

Given AQL=1%, inspection level and lot size N

Answered: drink bottler purchases nonreturnable…

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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Similar questions

Suppose the heights of men are normally distributed with mean, μμ = 68.5 inches, and standard deviation, σσ = 5 inches. Suppose admission to a summer basketball camp requires that a camp participant must be in the top 25 % of men's heights, what is the minimum height that a camp participant can have in order to meet the camp's height admission requirement? answer: inches
The frequency distribution was obtained using a class width of 0.5 for data on cigarette tax rates. Use the frequency distribution to approximate the population mean and population standard deviation. Compare these results to the actual mean μ=$1.502 and standard deviation σ=$1.031.
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 43 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 46 feet. Assume the population standard deviation is 4.5 feet. At α=0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. The critical value(s) is/are Find the standardized test statistic z for μ1−μ2.
By measuring the amount of time it takes a component of a product to move from one workstation to the next, a technologist has estimated that the standard deviation is 5.00 seconds. What sample size should be used in order to be 95% certain that the mean transfer is estimated to within ±1.00 seconds?
I need letter d. Thank you!
Question 15
Assume that a sample is used to estimate a population mean μμ. Find the margin of error that corresponds to a sample of size 16 with a mean of 68.3 and a standard deviation of 17.9 at a confidence level of 99%.Report the margin of error accurate to one decimal place because the sample statistics are presented with this accuracy.E=
A population has mean u = 26 and standard deviation o= 22. Find u, and o- for samples of sizen=100. Round your answers to one decimal place if needed.
The circumference of a particular species of tree was thought to be different depending on certain geographical factors. An SRS of 60 trees is selected in Sequoyah National Forest, where it is found that = 6 meters with a standard deviation = 3 meters. A second SRS of size 40 is independently selected in Yellowstone National Forest, and it is found that = 4 meters with a standard deviation = 2 meters. Let μ1 and μ2 represent, respectively, the true mean circumferences of this particular species of tree. Assume the standard deviations of the two populations are equal. A 95% confidence interval for μ1 – μ2 is
The lifetime of a Michelin defender tire (in thousands of miles) is normally distributed with mean μ = 41 and standard deviation σ = 7. What proportion of Michelin tires have lifetimes between 35 and 47 thousand miles?

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