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DOI: 10.14569/IJACSA.2021.0120594
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An Interactive Tool for Teaching the Central Limit Theorem to Engineering Students

Author 1: Anas Basalamah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 5, 2021.

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Abstract: The sole purpose of this paper is to guide students in learning the introductory statistical concepts such as- probability distribution and the central limit theorem (CLT) in an intuitive approach through an interactive tool. When a used data has different probability distributions, this paper intends to clarify the notions of the CLT and the use of samples in the hypothesis testing of a population by demonstrating step-by-step procedures and hands-on simulation approach. This paper discusses the relationship between the sample size and the nature of the sampling distribution, which is a vital element of the CLT, in different population distribution using the developed interactive tool. Finally, the impact of the developed interactive tool is measured via a survey experiment that illustrated the success of the developed tool in teaching the CLT.

Keywords: Probability distribution; CLT; population; interac-tive tool; sampling distribution

Anas Basalamah, “An Interactive Tool for Teaching the Central Limit Theorem to Engineering Students” International Journal of Advanced Computer Science and Applications(IJACSA), 12(5), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120594

@article{Basalamah2021,
title = {An Interactive Tool for Teaching the Central Limit Theorem to Engineering Students},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120594},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120594},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {5},
author = {Anas Basalamah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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