A manufacturer wanted to improve on the processes used to produce electrical components. At the beginning of the year, the factory randomly examined 9,000 electrical components, and of these a total of 900 components were rejected after a quality-control inspection. A project was deployed to fix the problem. Following the project, 7,000 components were randomly picked to be examined. Of these, a total of 600 were rejected. Did the project intervention improve the process? *independentso

A manufacturer wanted to improve on the processes used to produce electrical components. At the beginning of the year, the factory randomly examined 9,000 electrical components, and of these a total of 900 components were rejected after a quality-control inspection. A project was deployed to fix the problem. Following the project, 7,000 components were randomly picked to be examined. Of these, a total of 600 were rejected. Did the project intervention improve the process? *independentso

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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Question

How do I know which equation to use to start this question? It does not state if the population means are equal or unequal. Picture of the question

2. A manufacturer wanted to improve on the processes used to produce electrical components. At the
beginning of the year, the factory randomly examined 9,000 electrical components, and of these a
total of 900 components were rejected after a quality-control inspection. A project was deployed to
fix the problem. Following the project, 7,000 components were randomly picked to be examined. Of
these, a total of 600 were rejected. Did the project intervention improve the process? *Independent sompl:
ni=9000 E,=900
n2=7000 え。= 600
Test at the 2% significance level whether the population proportion of rejected components de-
creased after the project compared to the population proportion prior to the project. Formulate and
test the appropriate hypotheses. Use the P-value approach. Be sure to clearly state and explain your
conclusion within the context of the question.
sig.level a= 0.02
%3D
assume: o=
Ho: M-N2=0
HiiN,>N2

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