Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/19204
Title: 
Authors: 
Keywords: 
R language
Statistical inference
Simulation
Issue Date: 
2011
Citation: 
Cheang, W. K. (2011). The use of R language in the teaching of statistical inference. In M. O. J. Thomas (ed.), Volcanic Delta 2011: The Eighth Southern Hemisphere Conference on Teaching and learning Undergraduate Mathematics and Statistics (pp. 44 - 52). New York: Taylor & Francis.
Abstract: 
Statistical software packages like Minitab are commonly used in the teaching of statistics. The strength of these packages lies in the ease of performing standard statistical procedures such as hypothesis testing. However, such an ease can also be a hindrance to the understanding of the statistical principles underlying the procedures. Furthermore, these packages are not free and may not be cost effective to implement. The R language is a powerful software for data analysis within which many statistical procedures have been implemented. The strength of R derives from its many capabilities besides being a data analysis tool. In this paper, we explore the simulation and graphing capabilities of R in teaching statistical inference, so as to enhance students’ conceptual understanding of the inference methodology.
Description: 
This paper was published in Volcanic Delta 2011: The Eighth Southern Hemisphere Conference on Teaching and learning Undergraduate Mathematics and Statistics, held in Rotorua, New Zealand from 27 Nov to 2 Dec 2011
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Website: 
Appears in Collections:Conference Papers

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