Exploring central limit theorem on world population density data

We do some exploration to Central Limit Theorem on a real dataset. We intend to conduct this study to a real data which has non-normal distribution. Under common sense, it is known that world population density data has right-skewed distribution. A resampling mechanism is done to the original data b...

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Main Authors:	Fitrianto, Anwar, Imam Hanafi
Format:	Conference or Workshop Item
Language:	English
Published:	AIP Publishing LLC 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/57332/1/Exploring%20central%20limit%20theorem%20on%20world%20population%20density%20data.pdf http://psasir.upm.edu.my/id/eprint/57332/
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Institution:	Universiti Putra Malaysia
Language:	English

id	my.upm.eprints.57332
record_format	eprints
spelling	my.upm.eprints.573322017-09-26T04:07:12Z http://psasir.upm.edu.my/id/eprint/57332/ Exploring central limit theorem on world population density data Fitrianto, Anwar Imam Hanafi, We do some exploration to Central Limit Theorem on a real dataset. We intend to conduct this study to a real data which has non-normal distribution. Under common sense, it is known that world population density data has right-skewed distribution. A resampling mechanism is done to the original data by varying sample size to study the properties of well-known Central Limit Theorem, such as normality of the sampling distribution and reduction of the standard deviation of sample data due to larger sample size. AIP Publishing LLC 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57332/1/Exploring%20central%20limit%20theorem%20on%20world%20population%20density%20data.pdf Fitrianto, Anwar and Imam Hanafi, (2014) Exploring central limit theorem on world population density data. In: 3rd International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2014), 12–14 Aug. 2014, Langkawi, Kedah. (pp. 737-741). 10.1063/1.4903664
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	We do some exploration to Central Limit Theorem on a real dataset. We intend to conduct this study to a real data which has non-normal distribution. Under common sense, it is known that world population density data has right-skewed distribution. A resampling mechanism is done to the original data by varying sample size to study the properties of well-known Central Limit Theorem, such as normality of the sampling distribution and reduction of the standard deviation of sample data due to larger sample size.
format	Conference or Workshop Item
author	Fitrianto, Anwar Imam Hanafi,
spellingShingle	Fitrianto, Anwar Imam Hanafi, Exploring central limit theorem on world population density data
author_facet	Fitrianto, Anwar Imam Hanafi,
author_sort	Fitrianto, Anwar
title	Exploring central limit theorem on world population density data
title_short	Exploring central limit theorem on world population density data
title_full	Exploring central limit theorem on world population density data
title_fullStr	Exploring central limit theorem on world population density data
title_full_unstemmed	Exploring central limit theorem on world population density data
title_sort	exploring central limit theorem on world population density data
publisher	AIP Publishing LLC
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/57332/1/Exploring%20central%20limit%20theorem%20on%20world%20population%20density%20data.pdf http://psasir.upm.edu.my/id/eprint/57332/
_version_	1643836456043544576

Exploring central limit theorem on world population density data

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