In a study, researchers compared the variability in product of a particular piece of equipment to a known analytic capability to decide whether product consistency could be improved. The following data were obtained for 10 batches of product. Preliminary test results suggest the data are normally distributed and that s = 0.536. Construct a 90% confidence interval for the process variation of the piece of equipment under consideration. 28.9 28.6 28.7 28.9 30.2 29.6 28.7 28.8 The 90% confidence interval is from 29.6 29.5
In a study, researchers compared the variability in product of a particular piece of equipment to a known analytic capability to decide whether product consistency could be improved. The following data were obtained for 10 batches of product. Preliminary test results suggest the data are normally distributed and that s = 0.536. Construct a 90% confidence interval for the process variation of the piece of equipment under consideration. 28.9 28.6 28.7 28.9 30.2 29.6 28.7 28.8 The 90% confidence interval is from 29.6 29.5
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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←
In a study, researchers compared the variability in product of a particular piece of equipment to a known analytic
capability to decide whether product consistency could be improved. The following data were obtained for 10 batches
of product. Preliminary test results suggest the data are normally distributed and that s = 0.536. Construct a 90%
confidence interval for the process variation of the piece of equipment under consideration.
28.7
28.8
28.6
28.9
28.7
28.9
30.2
29.6
The 90% confidence interval is from to
(Round to three decimal places as needed.)
29.6
29.5"
Transcribed Image Text:points) po
←
In a study, researchers compared the variability in product of a particular piece of equipment to a known analytic
capability to decide whether product consistency could be improved. The following data were obtained for 10 batches
of product. Preliminary test results suggest the data are normally distributed and that s = 0.536. Construct a 90%
confidence interval for the process variation of the piece of equipment under consideration.
28.7
28.8
28.6
28.9
28.7
28.9
30.2
29.6
The 90% confidence interval is from to
(Round to three decimal places as needed.)
29.6
29.5
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