The passing grade of the last exam is known to be 65. Which of the following correctly describes a valid data analysis method and information that could be determined from this data through that analysis?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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The following data is a fragment from a large set of information from a student survey:
Number of hours studied
Grade on last exam
3
60
4
62
7
89
65
The passing grade of the last exam is known to be 65. Which of the following correctly describes a
valid data analysis method and information that could be determined from this data through that
analysis?
Classification analysis could be used to determine the number of students who passed the exam and studied for
less than 3 hours.
Cluster analysis could be used to determine the number of students who failed the exam and studied for more
than 5 hours.
Association rule mining could be used to determine if there are groups of students who share similar numbers
of hours studied and grades on the last exam.
Anomaly detection could be used to determine the typical number of hours a student who achieved the pass
mark on the exam studied.
Transcribed Image Text:The following data is a fragment from a large set of information from a student survey: Number of hours studied Grade on last exam 3 60 4 62 7 89 65 The passing grade of the last exam is known to be 65. Which of the following correctly describes a valid data analysis method and information that could be determined from this data through that analysis? Classification analysis could be used to determine the number of students who passed the exam and studied for less than 3 hours. Cluster analysis could be used to determine the number of students who failed the exam and studied for more than 5 hours. Association rule mining could be used to determine if there are groups of students who share similar numbers of hours studied and grades on the last exam. Anomaly detection could be used to determine the typical number of hours a student who achieved the pass mark on the exam studied.
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