Exploring central limit theorem on world population density data

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Anwar Fitrianto, Imam Hanafi

2014 AIP Conference Proceedings Vol. 1635 Conference paper Cited by 1

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. © 2014 AIP Publishing LLC.

Affiliations

Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, Malaysia; Laboratory of Applied and Computational Statistics, Institute for Mathematical Research, Universiti Putra Malaysia, Serdang, Malaysia; Faculty of Administrative Science, University of Brawijaya, Malang, Indonesia