USING MONTE CARLO SIMULATION TO HELP TEACH INTRODUCTORY STATISTICS

St. John's University (UNITED STATES)

Appears in: ICERI2009 Proceedings

Publication year: 2009

Pages: 501-512

ISBN: 978-84-613-2953-3

ISSN: 2340-1095

Publication year: 2009

Pages: 501-512

ISBN: 978-84-613-2953-3

ISSN: 2340-1095

Conference name: 2nd International Conference of Education, Research and Innovation

Dates: 16-18 November, 2009

Location: Madrid, Spain

Dates: 16-18 November, 2009

Location: Madrid, Spain

Many students find the concepts discussed in introductory statistics to be abstract and difficult. In particular that section of the course called inferential statistics gives much trouble to the student who is not mathematically sophisticated. In the course of this project the student is able to verify that the predictions of the standard statistical formulas correspond to the results obtained from repeated sampling. This educational tool is specifically designed to explain the basic logic of inferential statistics and has been successfully tested over time. Most students have favorable thing to say about their learning experience. A description of the fifty exercises and the students’ sample projects will be provided.

In the presentation I will explain why Monte Carlo simulation is a useful tool for teaching and learning statistics. The basics of descriptive statistics (e.g., mean, standard deviation, distributions, histograms) and introductory inferential statistics (e.g., confidence intervals, hypothesis testing) are all taught using a unified framework and an incremental and cumulative technique.

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