Electronic Proceedings of the Twenty-eighth Annual International Conference on Technology in Collegiate Mathematics

Atlanta, Georgia, March 10-13, 2016

Paper A009

This is an electronic reprint, reproduced by permission of Pearson Education Inc. Originally appeared in the Proceedings of the Twenty-eighth Annual International Conference on Technology in Collegiate Mathematics, ISBN 013480029X, Copyright (C) 2017 by Pearson Education, Inc.


Understanding Statistics Concepts Using Simulation In R

Leslie Chandrakantha


John Jay College of Criminal Justice of CUNY


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ABSTRACT

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