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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
AIP Publishing LLC
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/57332/1/Exploring%20central%20limit%20theorem%20on%20world%20population%20density%20data.pdf |
| _version_ | 1796976670769414144 |
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| author | Fitrianto, Anwar Imam Hanafi, |
| author_facet | Fitrianto, Anwar Imam Hanafi, |
| author_sort | Fitrianto, Anwar |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T09:29:04Z |
| format | Conference or Workshop Item |
| id | upm.eprints-57332 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:29:04Z |
| publishDate | 2014 |
| publisher | AIP Publishing LLC |
| record_format | dspace |
| spelling | 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 |
| spellingShingle | Fitrianto, Anwar Imam Hanafi, Exploring central limit theorem on world population density data |
| title | 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_short | Exploring central limit theorem on world population density data |
| title_sort | exploring central limit theorem on world population density data |
| url | http://psasir.upm.edu.my/id/eprint/57332/1/Exploring%20central%20limit%20theorem%20on%20world%20population%20density%20data.pdf |
| work_keys_str_mv | AT fitriantoanwar exploringcentrallimittheoremonworldpopulationdensitydata AT imamhanafi exploringcentrallimittheoremonworldpopulationdensitydata |