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Waste is an important factor to monitor in many manufacturing processes. When the variability of material used in a process is too high, engineers often must make changes to the process to avoid expensive wastage. An anti-rust spray uses a liquid that is sprayed on all surfaces of a certain type of racing car, and the amount used on each car was determined to be a normally distributed random variable. You recorded the fluid amount sprayed on each car of a randomly selected sample of 25 cars to have a sample mean x=100 fluid ounces and a sample standard deviation of S=20.4025 fluid ounces. a) Test the hypothesis that the true mean of sprayed amount Ho: u = 100 versus: H1: µ < 100 using α- 0.05. b) What is the P-value of the test in part a) above?

Waste is an important factor to monitor in many manufacturing processes. When the variability of material used in a process is too high, engineers often must make changes to the process to avoid expensive wastage. An anti-rust spray uses a liquid that is sprayed on all surfaces of a certain type of racing car, and the amount used on each car was determined to be a normally distributed random variable. You recorded the fluid amount sprayed on each car of a randomly selected sample of 25 cars to have a sample mean x=100 fluid ounces and a sample standard deviation of S=20.4025 fluid ounces. a) Test the hypothesis that the true mean of sprayed amount Ho: u = 100 versus: H1: µ < 100 using α- 0.05. b) What is the P-value of the test in part a) above?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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c) Compute the power of the test if the true mean amount is as high as 98.4 fluid ounce. [You can determine it by any method or tool you want]. d) Show how the question in part (a) could be answered by constructing one-sided confidence bound on the mean speed. e) Is there strong evidence to conclude that the variance in this experiment is less than 529? Use a = 0.05.
Transcribed Image Text:c) Compute the power of the test if the true mean amount is as high as 98.4 fluid ounce. [You can determine it by any method or tool you want]. d) Show how the question in part (a) could be answered by constructing one-sided confidence bound on the mean speed. e) Is there strong evidence to conclude that the variance in this experiment is less than 529? Use a = 0.05.
Waste is an important factor to monitor in many manufacturing processes. When the variability of material used in a process is too high, engineers often must make changes to the process to avoid expensive wastage. An anti-rust spray uses a liquid that is sprayed on all surfaces of a certain type of racing car, and the amount used on each car was determined to be a normally distributed random variable. You recorded the fluid amount sprayed on each car of a randomly selected sample of 25 cars to have a sample mean x=100 fluid ounces and a sample standard deviation of S=20.4025 fluid ounces. a) Test the hypothesis that the true mean of sprayed amount Ho: µ = using α- 0.05. 100 versus: Hi: µ < 100 b) What is the P-value of the test in part a) above?
Transcribed Image Text:Waste is an important factor to monitor in many manufacturing processes. When the variability of material used in a process is too high, engineers often must make changes to the process to avoid expensive wastage. An anti-rust spray uses a liquid that is sprayed on all surfaces of a certain type of racing car, and the amount used on each car was determined to be a normally distributed random variable. You recorded the fluid amount sprayed on each car of a randomly selected sample of 25 cars to have a sample mean x=100 fluid ounces and a sample standard deviation of S=20.4025 fluid ounces. a) Test the hypothesis that the true mean of sprayed amount Ho: µ = using α- 0.05. 100 versus: Hi: µ < 100 b) What is the P-value of the test in part a) above?
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