Electronic Proceedings of the Twentyeighth Annual International Conference on Technology in Collegiate MathematicsAtlanta, Georgia, March 1013, 2016Paper A009
This is an electronic reprint, reproduced by permission of Pearson Education Inc. Originally appeared in the Proceedings of the Twentyeighth Annual International Conference on Technology in Collegiate Mathematics, ISBN 013480029X, Copyright (C) 2017 by Pearson Education, Inc. 
Understanding Statistics Concepts Using Simulation In R 
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Learning statistics concepts are important for college students. The ability to understand,
interpret, and evaluate research findings are essential skills. Many different approaches have
been used for providing statistics instructions and enhancing the conceptual understanding.
Some concepts such as sampling distributions, confidence intervals, and hypothesis testing are
difficult to teach and to understand. In this paper, we describe how to use simulation using R
programming environment. R is free, and has flexible properties which make it suitable for
introductory statistics students. The paper introduces R functions relevant to each topic.
Keyword(s): statistics, software