@inproceedings{c7618912e0d6487dae64f70eefacb6ff,
title = "Exploring central limit theorem on world population density data",
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.",
keywords = "central limit theorem, normal distribution, sample size",
author = "Anwar Fitrianto and Imam Hanafi",
note = "Publisher Copyright: {\textcopyright} 2014 AIP Publishing LLC.; 3rd International Conference on Quantitative Sciences and Its Applications: Fostering Innovation, Streamlining Development, ICOQSIA 2014 ; Conference date: 12-08-2014 Through 14-08-2014",
year = "2014",
doi = "10.1063/1.4903664",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
pages = "737--741",
editor = "Nazrina Aziz and Haslinda Ibrahim and Jafri Zulkepli and Nazihah Ahmad and Rahman, \{Syariza Abdul\}",
booktitle = "AIP Conference Proceedings",
}