One of the new thrusts of quality control management is to examine the process by which a product is produced. This approach also applies to paperwork. In industries where large long-term projects are undertaken, days and even weeks may elapse as a change order makes its way through a maze of approvals before receiving final approval. This process can result in longdelays and stretch schedules to the breaking point. Suppose a quality control consulting group claims that it can significantly reduce the number of days required for such paperwork toreceive an approval. In an attempt to "prove" its case, the group selects five jobs for which it revises the paperwork system. The following data show the number of days required for a changeorder to be approved before the group intervened and the number of days required for a change order to be approved after the group instituted a new paperwork system.BeforeAfter1287310816Use alpha = 0.05 to determine whether there was a significant drop in the number of days required to process paperwork to approve change orders. Assume that the differences in days arenormally distributed. The appropriate conclusion for this problem isnot reject the null hypothesis, D < 0reject the null hypothesis, D > 0reject the null hypothesis D = 0reject the null hypothesis, Ds0not reject the null hypothesis D 2 0

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Description: One of the new thrusts of quality control management is to examine the process by which a product is produced. This approach also applies to paperwork. In industries where large long-term projects are undertaken, days and even weeks may elapse as a

We have used the excel data analysis tool to run the paired t-test. Results are as under:

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Statistics

Use alpha = 0.05 to determine whether there was a significant drop in the number of days required to process paperwork to approve change orders. Assume that the differences in days are hormally distributed. The appropriate conclusion for this problem is not reject the null hypothesis, D s0 reject the null hypothesis, D20 reject the null hypothesis D = 0 reject the null hypothesis, Ds0 not reject the null hypothesis D 2 0

Use alpha = 0.05 to determine whether there was a significant drop in the number of days required to process paperwork to approve change orders. Assume that the differences in days are hormally distributed. The appropriate conclusion for this problem is not reject the null hypothesis, D s0 reject the null hypothesis, D20 reject the null hypothesis D = 0 reject the null hypothesis, Ds0 not reject the null hypothesis D 2 0

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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