2. An electronics company makes customized laptop computers for its customers by assembling various parts such as circuit boards, processors, and display screens purchased in bulk from other companies. The company regularly purchases bulk orders of 150 display screens from a supplier. If more than 5% of the display screens from the supplier are bad, the company may choose to reject the entire bulk order of 150 display screens for a refund. Otherwise, the company must accept the entire bulk order of 150 display screens. A trained engineer at the electronics company will gather data to determine if each of the 150 display screens is good or bad before deciding whether to accept or reject the whole order. (A) Should statistical inference be used to determine whether the company should accept or reject the bulk order of display screens using the data gathered by the trained engineer? Explain why you should or should not use statistical inference in this scenario. (B) Next, explain how you would decide whether the electronics company should accept or reject the order of display screens using the data gathered by the trained engineer. (Be sure to give enough detail that a classmate could easily understand your approach, and how they would interpret the result in the context of the problem.)
2. An electronics company makes customized laptop computers for its customers by assembling various parts such as circuit boards, processors, and display screens purchased in bulk from other companies. The company regularly purchases bulk orders of 150 display screens from a supplier. If more than 5% of the display screens from the supplier are bad, the company may choose to reject the entire bulk order of 150 display screens for a refund. Otherwise, the company must accept the entire bulk order of 150 display screens. A trained engineer at the electronics company will gather data to determine if each of the 150 display screens is good or bad before deciding whether to accept or reject the whole order. (A) Should statistical inference be used to determine whether the company should accept or reject the bulk order of display screens using the data gathered by the trained engineer? Explain why you should or should not use statistical inference in this scenario. (B) Next, explain how you would decide whether the electronics company should accept or reject the order of display screens using the data gathered by the trained engineer. (Be sure to give enough detail that a classmate could easily understand your approach, and how they would interpret the result in the context of the problem.)
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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Transcribed Image Text:2. An electronics company makes customized laptop computers for its
customers by assembling various parts such as circuit boards,
processors, and display screens purchased in bulk from other
companies. The company regularly purchases bulk orders of 150 display
screens from a supplier. If more than 5% of the display screens from the
supplier are bad, the company may choose to reject the entire bulk
order of 150 display screens for a refund. Otherwise, the company must
accept the entire bulk order of 150 display screens.
A trained engineer at the electronics company will gather data to
determine if each of the 150 display screens is good or bad before
deciding whether to accept or reject the whole order.
(A) Should statistical inference be used to determine whether the
company should accept or reject the bulk order of display screens using
the data gathered by the trained engineer? Explain why you should or
should not use statistical inference in this scenario.
(B) Next, explain how you would decide whether the electronics
company should accept or reject the order of display screens using the
data gathered by the trained engineer. (Be sure to give enough detail that
a classmate could easily understand your approach, and how they would
interpret the result in the context of the problem.)
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