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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| creator | Fitrianto Anwar Imam, Hanafi |
| 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. |
| doi_str_mv | 10.1063/1.4903664 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2014, Vol.1635 (1), p.741 |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2126491965 |
| source | AIP Journals Complete |
| subjects | Normal distribution Normality Population density Random variables Resampling Skewed distributions Theorems |
| title | Exploring central limit theorem on world population density data |
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