Expensive parts are produced in an industrial process. They need to be broken in order to be tested, so a sample of 6 parts is chosen, measuring the % increase in length of the part before breaking. The sample mean is 4.31% and the sample standard deviation is 0.026%. What is the population mean and its confidence interval for 95% confidence? OH = 4.31 ± 0.0273% H= 4.31 2.570% u= 4.31 0.1499% OH = 4.31 + 0.0299%
Expensive parts are produced in an industrial process. They need to be broken in order to be tested, so a sample of 6 parts is chosen, measuring the % increase in length of the part before breaking. The sample mean is 4.31% and the sample standard deviation is 0.026%. What is the population mean and its confidence interval for 95% confidence? OH = 4.31 ± 0.0273% H= 4.31 2.570% u= 4.31 0.1499% OH = 4.31 + 0.0299%
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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![Expensive parts are produced in an industrial process. They need to be
broken in order to be tested, so a sample of 6 parts is chosen, measuring the
% increase in length of the part before breaking. The sample mean is 4.31%
and the sample standard deviation is 0.026%. What is the population mean
and its confidence interval for 95% confidence?
OH = 4.31 ± 0.0273%
H= 4.31 2.570%
u= 4.31 0.1499%
OH = 4.31 + 0.0299%](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6692f511-a482-4b62-9253-2f5d35d09a41%2F4cd0e82b-38ca-404e-8f8c-079a510609c9%2Fzwfsmae_processed.png&w=3840&q=75)
Transcribed Image Text:Expensive parts are produced in an industrial process. They need to be
broken in order to be tested, so a sample of 6 parts is chosen, measuring the
% increase in length of the part before breaking. The sample mean is 4.31%
and the sample standard deviation is 0.026%. What is the population mean
and its confidence interval for 95% confidence?
OH = 4.31 ± 0.0273%
H= 4.31 2.570%
u= 4.31 0.1499%
OH = 4.31 + 0.0299%
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