Teaching fundamental concepts in statistical science

Other

2011

Permanent link to this Item
http://hdl.handle.net/11427/2536
Files
module7.xlsm (94.37 KB)

module4.xlsm (60.37 KB)

module2.xlsm (228.88 KB)

module6.xlsm (250.83 KB)

module1.xlsm (288.23 KB)
Authors
Barr, Graham
Scott, Leanne
Journal Title
Link to Journal
https://vula.uct.ac.za/access/content/group/95dfae58-9991-4317-8a1d-e2d58f80b3a3/Published%20OER%20UCT%20Resources/Graham%20Barr/Teaching%20of%20Fundamental%20Statistical%20Concepts%20through%20Simula
Journal ISSN
Volume Title
Publisher
Publisher

University of Cape Town

Department
Department of Statistical Sciences
Faculty
Faculty of Science
License

http://creativecommons.org/licenses/by-nc-nd/4.0/

Series
Abstract
These modules are essentially crafted as teaching tools and the experience of first year students would be of the lecturer leading the students through the simulations at an appropriate pace, allowing plenty of opportunity for discussion and clarification. Lab based tutorials also support this process. A suite of VBA simulation programmes used at first year level containing a number of tools for teaching introductory statistics at university level. Note that these are written for MS Excel 2007 (or later versions). The modules roughly follow chapters in the first year statistics textbook, Introstat (LG Underhill) and essentially support and supplement that book. They are to a significant extent self explanatory for those with some knowledge of statistics and simulation.
Description
Keywords
Excel 2007
hypothesis testing
Poisson distribution
statistics
uniform distribution
variables

Reference:

Barr, G., Scott, L. 2011. Teaching fundamental concepts in statistical science. Simulation. University of Cape Town.

Collections
Teaching and Learning