New discrete frequency table with application to real data
One way to make sense of data is to organize it into a more meaningful format called frequency table. The existing univariate discrete frequency table is simple to construct, easy to understand and interpret. However, when the number of elements in the data is substantial, it results in a long table...
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Malaysia Institute of Statistics ISMy and Centre for Foundation Studies in Science, Universiti Malaya
2022
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Online Access: | http://psasir.upm.edu.my/id/eprint/102303/ https://ejournal.um.edu.my/index.php/JOSMA/article/view/34211 |
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my.upm.eprints.1023032023-07-11T03:03:08Z http://psasir.upm.edu.my/id/eprint/102303/ New discrete frequency table with application to real data Mohammed, Mohammed Bappah Zulkafli, Hani Syahida Ali, Norhaslinda Ahmed, Hassan Danjuma, Hauwa Salihu One way to make sense of data is to organize it into a more meaningful format called frequency table. The existing univariate discrete frequency table is simple to construct, easy to understand and interpret. However, when the number of elements in the data is substantial, it results in a long table that can be difficult to handle. This article presents a new discrete frequency table. The proposed frequency table is described, using simulations performed on five different discrete distributions, and real data. The new frequency table improves the existing table in various ways. This includes how the data with a large number of elements can be handled, how the mode of the data can be better estimated, and how the essential features of the data can be better revealed. Malaysia Institute of Statistics ISMy and Centre for Foundation Studies in Science, Universiti Malaya 2022 Article PeerReviewed Mohammed, Mohammed Bappah and Zulkafli, Hani Syahida and Ali, Norhaslinda and Ahmed, Hassan and Danjuma, Hauwa Salihu (2022) New discrete frequency table with application to real data. Journal of Statistical Modeling and Analytics, 4 (2). 56 - 77. ISSN 2180-3102 https://ejournal.um.edu.my/index.php/JOSMA/article/view/34211 10.22452/josma.vol4no2.5 |
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One way to make sense of data is to organize it into a more meaningful format called frequency table. The existing univariate discrete frequency table is simple to construct, easy to understand and interpret. However, when the number of elements in the data is substantial, it results in a long table that can be difficult to handle. This article presents a new discrete frequency table. The proposed frequency table is described, using simulations performed on five different discrete distributions, and real data. The new frequency table improves the existing table in various ways. This includes how the data with a large number of elements can be handled, how the mode of the data can be better estimated, and how the essential features of the data can be better revealed. |
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Article |
author |
Mohammed, Mohammed Bappah Zulkafli, Hani Syahida Ali, Norhaslinda Ahmed, Hassan Danjuma, Hauwa Salihu |
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Mohammed, Mohammed Bappah Zulkafli, Hani Syahida Ali, Norhaslinda Ahmed, Hassan Danjuma, Hauwa Salihu New discrete frequency table with application to real data |
author_facet |
Mohammed, Mohammed Bappah Zulkafli, Hani Syahida Ali, Norhaslinda Ahmed, Hassan Danjuma, Hauwa Salihu |
author_sort |
Mohammed, Mohammed Bappah |
title |
New discrete frequency table with application to real data |
title_short |
New discrete frequency table with application to real data |
title_full |
New discrete frequency table with application to real data |
title_fullStr |
New discrete frequency table with application to real data |
title_full_unstemmed |
New discrete frequency table with application to real data |
title_sort |
new discrete frequency table with application to real data |
publisher |
Malaysia Institute of Statistics ISMy and Centre for Foundation Studies in Science, Universiti Malaya |
publishDate |
2022 |
url |
http://psasir.upm.edu.my/id/eprint/102303/ https://ejournal.um.edu.my/index.php/JOSMA/article/view/34211 |
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