Advanced Search
MyIDEAS: Login to save this paper or follow this series

Agony and ecstasy: teaching a computationally intensive introductory statistics course using Stata


Author Info

  • Nicholas Jon Horton

    (Smith College)


In the last decade, a sea change has occurred in the organization of introductory statistics courses. The mantra of "more data, less lecture" is widely repeated while active learning opportunities receive increasing focus. At Smith College, a small liberal arts college, a number of introductory statistics courses are offered, with varying mathematical prerequisites. Stata is used as the computing environment for many of these courses. In all courses, students engage in the analysis of real-world example datasets, often taught in the form of mini case studies (using a set of lab materials developed at UCLA). For the more mathematically savvy students, introductory statistics concepts are introduced through simulation and other activities. While Stata serves as an easy to use environment for statistical analysis, there are areas where additional functionality would improve its use as a testbed for statistical investigation. In this talk, I will review the use of Stata for both of these purposes, and detail areas of strengths and potential improvements.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL:
File Function: presentation slides
Download Restriction: no

Bibliographic Info

Paper provided by Stata Users Group in its series North American Stata Users' Group Meetings 2007 with number 10.

as in new window
Date of creation: 15 Aug 2007
Date of revision:
Handle: RePEc:boc:asug07:10

Contact details of provider:
Web page:
More information through EDIRC

Related research


This paper has been announced in the following NEP Reports:


No references listed on IDEAS
You can help add them by filling out this form.



This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


Access and download statistics


When requesting a correction, please mention this item's handle: RePEc:boc:asug07:10. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.