11. As part of a quality control program for a catalyst manufacturing line, the raw materials (alumina and binder) from each shipment are tested forpurity. The process requires that the average (mean) purity of the alumina be greater than 85%. If the mean purity of alumina is greater than 85% theshipment is accepted. A random sample from a recent shipment of alumina yielded the following results (in percent). Assume the normality conditionis satisfied.93.2 87.0 92.1 90.1 87.3 93.6Note: * = 90.55,s = 2.902Construct a 99% confidence interval for the mean purity of alumina.b.а.Interpret your interval in context.Using the Rejection Region approach, conduct a hypothesis test at a = .05 to determine whether the shipment should be accepted asfollows:c.i.State the appropriate null and alternative hypotheses.Compute the appropriate test statistic.Draw a diagram showing the critical values, rejection region, and test statistic.State your conclusion in context.ii.iii.iv.

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Description: 11. As part of a quality control program for a catalyst manufacturing line, the raw materials (alumina and binder) from each shipment are tested forpurity. The process requires that the average (mean) purity of the alumina be greater than 85%. If th

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11. As part of a quality control program for a catalyst manufacturing line, the raw materials (alumina and binder) from each shipment are tested for purity. The process requires that the average (mean) purity of the alumina be greater than 85%. If the mean purity of alumina is greater than 85% the shipment is accepted. A random sample from a recent shipment of alumina yielded the following results (in percent). Assume the normality condition is satisfied. 93.2 87.0 92.1 90.1 87.3 93.6 Note: i = 90.55, s = 2.902 Construct a 99% confidence interval for the mean purity of alumina. b. а. Interpret your interval in context. Using the Rejection Region approach, conduct a hypothesis test at a = .05 to determine whether the shipment should be accepted as follows: с. i. ii. State the appropriate null and alternative hypotheses. Compute the appropriate test statistic. Draw a diagram showing the critical values, rejection region, and test statistic. State your conclusion in context. iii. iv.

11. As part of a quality control program for a catalyst manufacturing line, the raw materials (alumina and binder) from each shipment are tested for purity. The process requires that the average (mean) purity of the alumina be greater than 85%. If the mean purity of alumina is greater than 85% the shipment is accepted. A random sample from a recent shipment of alumina yielded the following results (in percent). Assume the normality condition is satisfied. 93.2 87.0 92.1 90.1 87.3 93.6 Note: i = 90.55, s = 2.902 Construct a 99% confidence interval for the mean purity of alumina. b. а. Interpret your interval in context. Using the Rejection Region approach, conduct a hypothesis test at a = .05 to determine whether the shipment should be accepted as follows: с. i. ii. State the appropriate null and alternative hypotheses. Compute the appropriate test statistic. Draw a diagram showing the critical values, rejection region, and test statistic. State your conclusion in context. iii. iv.

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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