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International Electronic Journal of Mathematics Education

International Electronic Journal of Mathematics Education
Using R as a Simulation Tool in Teaching Introductory Statistics
Xuemao Zhang 1 * , Zoe Maas 1
1 East Stroudsburg University, USA
* Corresponding Author
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Zhang X, Maas Z. Using R as a Simulation Tool in Teaching Introductory Statistics. INT ELECT J MATH ED. 2019;14(3), 599-610. https://doi.org/10.29333/iejme/5773
APA 6th edition
In-text citation: (Zhang & Maas, 2019)
Reference: Zhang, X., & Maas, Z. (2019). Using R as a Simulation Tool in Teaching Introductory Statistics. International Electronic Journal of Mathematics Education, 14(3), 599-610. https://doi.org/10.29333/iejme/5773
Chicago
In-text citation: (Zhang and Maas, 2019)
Reference: Zhang, Xuemao, and Zoe Maas. "Using R as a Simulation Tool in Teaching Introductory Statistics". International Electronic Journal of Mathematics Education 2019 14 no. 3 (2019): 599-610. https://doi.org/10.29333/iejme/5773
Harvard
In-text citation: (Zhang and Maas, 2019)
Reference: Zhang, X., and Maas, Z. (2019). Using R as a Simulation Tool in Teaching Introductory Statistics. International Electronic Journal of Mathematics Education, 14(3), pp. 599-610. https://doi.org/10.29333/iejme/5773
MLA
In-text citation: (Zhang and Maas, 2019)
Reference: Zhang, Xuemao et al. "Using R as a Simulation Tool in Teaching Introductory Statistics". International Electronic Journal of Mathematics Education, vol. 14, no. 3, 2019, pp. 599-610. https://doi.org/10.29333/iejme/5773
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Zhang X, Maas Z. Using R as a Simulation Tool in Teaching Introductory Statistics. INT ELECT J MATH ED. 2019;14(3):599-610. https://doi.org/10.29333/iejme/5773

Abstract

The use of computer simulations in the teaching of introductory statistics can help undergraduate students understand difficult or abstract statistics concepts. The free software environment R is a good candidate for computer simulations since it allows users to add additional functionality by defining new functions. In this paper, we illustrate how computer simulations with R are used in statistics classrooms and student homework assignments by examples. These examples include sampling distributions and the central limit theorem, the t-distributions, confidence intervals, hypothesis testing, regression analysis and nonparametric tests.

Keywords

computer simulations introductory statistics R software teaching statistics

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