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Exploring central limit theorem on world population density data


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).


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.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.1063/1.4903664
Publisher: AIP Publishing LLC
Keywords: Central limit theorem; Normal distribution; Sample size
Depositing User: Nabilah Mustapa
Date Deposited: 26 Sep 2017 04:07
Last Modified: 26 Sep 2017 04:07
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.4903664
URI: http://psasir.upm.edu.my/id/eprint/57332
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