Citation
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).
Abstract
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 |
| Statistic Details: | View Download Statistic |
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