4. Outliers can be detected using a statistical approach, one of popular approaches is the Inte Quartile Range (1QR) method. A sample is categorized as an outlier if its value is less than (Q1 1.5 * IQR) or greater than (Q3 + 1.5 * 1QR). Use these conditions to detect outliers in th following data: 130,132,138,136,131,153,131,133,129,133,110,132,129,134,135,132, 135,134,133,132,130,131,134,135,135,134,136,133,133,130 note: Q1 = quartile 1, Q3 = quartile 3
4. Outliers can be detected using a statistical approach, one of popular approaches is the Inte Quartile Range (1QR) method. A sample is categorized as an outlier if its value is less than (Q1 1.5 * IQR) or greater than (Q3 + 1.5 * 1QR). Use these conditions to detect outliers in th following data: 130,132,138,136,131,153,131,133,129,133,110,132,129,134,135,132, 135,134,133,132,130,131,134,135,135,134,136,133,133,130 note: Q1 = quartile 1, Q3 = quartile 3
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![4. Outliers can be detected using a statistical approach, one of popular approaches is the Inter
Quartile Range (IQR) method. A sample is categorized as an outlier if its value is less than (Q1 -
1.5 * IQR) or greater than (Q3 + 1.5 * 1QR). Use these conditions to detect outliers in the
following data:
130,132,138,136,131,153,131,133,129,133,110,132,129,134,135,132,
135,134,133,132,130,131,134,135,135,134,136,133,133,130
note: Q1 = quartile 1, Q3 = quartile 3
Draw the Boxplot to show the outliers
%3D](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5b2b35db-8319-4410-8902-f118bf82416d%2Fe7b90373-2c34-49b7-9b6e-3cd63ae94a5d%2Fb7tcxt_processed.jpeg&w=3840&q=75)
Transcribed Image Text:4. Outliers can be detected using a statistical approach, one of popular approaches is the Inter
Quartile Range (IQR) method. A sample is categorized as an outlier if its value is less than (Q1 -
1.5 * IQR) or greater than (Q3 + 1.5 * 1QR). Use these conditions to detect outliers in the
following data:
130,132,138,136,131,153,131,133,129,133,110,132,129,134,135,132,
135,134,133,132,130,131,134,135,135,134,136,133,133,130
note: Q1 = quartile 1, Q3 = quartile 3
Draw the Boxplot to show the outliers
%3D
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