A manufacturer bonds a plastic coating to a metal surface. A random sample of nine observations on the thickness of this coating is taken from a week's output and the thickness (in millimeters) of these observations are shown below. Assuming normality, find a 90% confidence interval for the population variance. 19.7 21.8 18.2 20.5 21.6 Click the icon to view a table of lower critical values for the chi-square distribution. 19.3 19.7 20.2 20.7 C

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A manufacturer bonds a plastic coating to a metal surface. A random sample of nine observations on the thickness of this coating is taken from
a week's output and the thickness (in millimeters) of these observations are shown below. Assuming normality, find a 90 % confidence interval for the
population variance.
19.7
20.5
Click the icon to view a table of lower critical values for the chi-square distribution.
Click the icon to view a table of upper critical values for the chi-square distribution.
21.8
18.2
Find the 90% confidence interval.
0<²0
(Round to four decimal places as needed.)
21.6
SCIOD
19.3
19.7
20.2
20.7
Transcribed Image Text:A manufacturer bonds a plastic coating to a metal surface. A random sample of nine observations on the thickness of this coating is taken from a week's output and the thickness (in millimeters) of these observations are shown below. Assuming normality, find a 90 % confidence interval for the population variance. 19.7 20.5 Click the icon to view a table of lower critical values for the chi-square distribution. Click the icon to view a table of upper critical values for the chi-square distribution. 21.8 18.2 Find the 90% confidence interval. 0<²0 (Round to four decimal places as needed.) 21.6 SCIOD 19.3 19.7 20.2 20.7
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