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The P&E industry manufactures electronic components and packages them in boxes whose specifications state that the proportion of defects is 4%. A quality engineer from an industry that makes use of the components produced by P&E inspects a sample of 200 parts and finds that 12 are defective. Considering these data, in many samples the customer would find a proportion of defieots greater than that specified by the P&E manufacturer.

The P&E industry manufactures electronic components and packages them in boxes whose specifications state that the proportion of defects is 4%. A quality engineer from an industry that makes use of the components produced by P&E inspects a sample of 200 parts and finds that 12 are defective. Considering these data, in many samples the customer would find a proportion of defieots greater than that specified by the P&E manufacturer.

MATLAB: An Introduction with Applications
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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The P&E industry manufactures electronic components and packages them in boxes whose specifications state that the proportion of defects is 4%. A quality engineer from an industry that makes use of the components produced by P&E inspects a sample of 200 parts and finds that 12 are defective. Considering these data, in many samples the customer would find a proportion of defieots greater than that specified by the P&E manufacturer.
Transcribed Image Text:The P&E industry manufactures electronic components and packages them in boxes whose specifications state that the proportion of defects is 4%. A quality engineer from an industry that makes use of the components produced by P&E inspects a sample of 200 parts and finds that 12 are defective. Considering these data, in many samples the customer would find a proportion of defieots greater than that specified by the P&E manufacturer.
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