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A company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, and the value of a particular critical dimension for each part is determined. The comparative boxplot below is constructed from the resulting data. Machine 2- • 85 95 105 Dimension 115 Compare and contrast the two samples. (Select all that apply.) 0 0 0 ос Machine 1's sample values have considerably more variation than does machine 2's sample values. There are no outliers present. The only outlier that exists is from machine 2. A typical value seems to be about the same for the two machines. A typical value is much larger for machine 2 than for machine 1. The only outlier that exists is from machine 1. Machine 1 and machine 2's sample values have about the same amount of variation. Machine 2's sample values have considerably more variation than machine 1's sample values. A typical value is much larger for machine 1 than for machine 2.

A company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, and the value of a particular critical dimension for each part is determined. The comparative boxplot below is constructed from the resulting data. Machine 2- • 85 95 105 Dimension 115 Compare and contrast the two samples. (Select all that apply.) 0 0 0 ос Machine 1's sample values have considerably more variation than does machine 2's sample values. There are no outliers present. The only outlier that exists is from machine 2. A typical value seems to be about the same for the two machines. A typical value is much larger for machine 2 than for machine 1. The only outlier that exists is from machine 1. Machine 1 and machine 2's sample values have about the same amount of variation. Machine 2's sample values have considerably more variation than machine 1's sample values. A typical value is much larger for machine 1 than for machine 2.

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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A company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, and the value of a particular critical dimension for each part is determined. The comparative boxplot below is constructed from the resulting data. Machine 2- • 85 95 105 Dimension 115 Compare and contrast the two samples. (Select all that apply.) 0 0 0 ос Machine 1's sample values have considerably more variation than does machine 2's sample values. There are no outliers present. The only outlier that exists is from machine 2. A typical value seems to be about the same for the two machines. A typical value is much larger for machine 2 than for machine 1. The only outlier that exists is from machine 1. Machine 1 and machine 2's sample values have about the same amount of variation. Machine 2's sample values have considerably more variation than machine 1's sample values. A typical value is much larger for machine 1 than for machine 2.
Transcribed Image Text:A company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, and the value of a particular critical dimension for each part is determined. The comparative boxplot below is constructed from the resulting data. Machine 2- • 85 95 105 Dimension 115 Compare and contrast the two samples. (Select all that apply.) 0 0 0 ос Machine 1's sample values have considerably more variation than does machine 2's sample values. There are no outliers present. The only outlier that exists is from machine 2. A typical value seems to be about the same for the two machines. A typical value is much larger for machine 2 than for machine 1. The only outlier that exists is from machine 1. Machine 1 and machine 2's sample values have about the same amount of variation. Machine 2's sample values have considerably more variation than machine 1's sample values. A typical value is much larger for machine 1 than for machine 2.
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