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The Impact of Television Viewing On the Academic Performance<br />

of High School Students<br />

Natasha Binti Abu Hasan<br />

Supervisor: Dr. Chee Chew Seng<br />

Bachelor of Science (Financial Mathematics)<br />

School of Informatics and Applied Mathematics<br />

Cluster analysis is a function of grouping a set of data and class it into same subgroups<br />

where the segment of each subgroup are more similar to each other than to those in<br />

other subgroups. In this project, our aims are to analyze between the selection of<br />

television program and academic achievement by students in high school. Some survey<br />

are carried out by distributing the questionnaire to high school student. This method can<br />

separate the students with different age into the television programs segment. We also<br />

use k-mean clustering algorithm for examine student’s academic performance and the<br />

selection of television program based on cluster analysis and utilizes standard statistical<br />

algorithms to grouping their scores data and television channels according to their<br />

academic achievement and selection of television programs is represented. The research<br />

study between the selection of television program and academic achievement by students<br />

in high school.<br />

835 | UMT UNDERGRADUATE RESEARCH DAY 2018

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