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. 19.4 21.9 18.6 20.9 21.4 19.1 19.4 20.4 20.6 Click the icon to view a table of lower critical values for the chi-squ 1 Lower Critical Values of Chi-Square O Upper Critical Values of Chi-Square E Click the icon to view a table of upper critical values for the chi-squ Find the 90% confidence interval. 0.90 0.95 0.975 0.99 0.999 0.10 0.05 0.025 0.01 0.001 10.828 13.816 1 .016 .004 001 .000 000 1 2.706 3.841 5.024 6.635 211 .103 051 020 .002 4.605 5.991 7.378 9.210 (Round to four decimal places as needed.) 3 .584 352 216 .115 .024 6.251 7.815 9.348 11.345 16.266 4 1.064 .711 484 .297 .091 18.467 20.515 4 7.779 9.488 11.143 13.277 1.610 1.145 831 554 .210 9,236 11.070 12.833 15.086 6. 2.204 1.635 1.237 872 381 12.502 14.067 6. 10.645 14.449 16.812 22.458 7. 2.833 2.167 1.690 1.239 598 7 12.017 16.013 18.475 24.322 3.490 2.733 2.180 1.646 857 1325 2088 8. 13.362 15.507 17.535 20.090 26.125 4168 2700 1152

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. 19.4 21.9 18.6 20.9 21.4 19.1 19.4 20.4 20.6 Click the icon to view a table of lower critical values for the chi-squ 1 Lower Critical Values of Chi-Square O Upper Critical Values of Chi-Square E Click the icon to view a table of upper critical values for the chi-squ Find the 90% confidence interval. 0.90 0.95 0.975 0.99 0.999 0.10 0.05 0.025 0.01 0.001 10.828 13.816 1 .016 .004 001 .000 000 1 2.706 3.841 5.024 6.635 211 .103 051 020 .002 4.605 5.991 7.378 9.210 (Round to four decimal places as needed.) 3 .584 352 216 .115 .024 6.251 7.815 9.348 11.345 16.266 4 1.064 .711 484 .297 .091 18.467 20.515 4 7.779 9.488 11.143 13.277 1.610 1.145 831 554 .210 9,236 11.070 12.833 15.086 6. 2.204 1.635 1.237 872 381 12.502 14.067 6. 10.645 14.449 16.812 22.458 7. 2.833 2.167 1.690 1.239 598 7 12.017 16.013 18.475 24.322 3.490 2.733 2.180 1.646 857 1325 2088 8. 13.362 15.507 17.535 20.090 26.125 4168 2700 1152

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Description: 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. Assumingnormalit

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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