To monitor advanced chemical processes, chemical engineers consider key process indicators, which can be just production, but most often depend on several variables. Before trying to improve a process, n = 9 measurements are made on a key performance indicator, obtaining the data: 123 106 114 128 113 109 120 102 111 a) What can the engineer say with 95% confidence about the maximum error if he uses the sample mean to estimate the true mean value of the performance indicator? b) Suppose the key performance indicator has a normal distribution and you obtain a 95% confidence interval for the true value of the indicator.
To monitor advanced chemical processes, chemical engineers consider key process indicators, which can be just production, but most often depend on several variables. Before trying to improve a process, n = 9 measurements are made on a key performance indicator, obtaining the data: 123 106 114 128 113 109 120 102 111 a) What can the engineer say with 95% confidence about the maximum error if he uses the sample mean to estimate the true mean value of the performance indicator? b) Suppose the key performance indicator has a normal distribution and you obtain a 95% confidence interval for the true value of the indicator.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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To monitor advanced chemical processes, chemical engineers consider key process indicators, which can be just production, but most often depend on several variables.
Before trying to improve a process, n = 9 measurements are made on a key performance indicator, obtaining the data:
123 106 114 128 113 109 120 102 111
a) What can the engineer say with 95% confidence about the maximum error if he uses the sample mean to estimate the true
b) Suppose the key performance indicator has a
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