Web Sites for Teaching Undergraduate Statistics

Online Texts. These are generally accessible with html + graphics (some used latex2html). They can supplement a regular text, giving students alternative descriptions of common topics. A list of main topics (chapters) are given in each case (... means there are more main headings).

1. Probability Theory: The Logic of Science, by E. T. Jaynes at Washington University. The table of contents is in html, but the chapters are viewed only in postscript. The LaTeX source is available for download (gz).
   Plausible Reasoning; Cox Theorems; Sampling; Hypothesis Testing; ... Principles and Pathology of Orthodox Statistics; ... Time Series Analysis and Autoregressive Models; ...

2. The Study of Stability in Variation, by Jan de Leeuw at UCLA.
   Analysis of a Single Variable; Analysis of a Pair of Variable; Analysis of Multivariables

3. Introductory Statistics: Concepts, Models, and Applications, by David W. Stockburger at Southwest Missouri State University. Requires frames.
   Models; Algebra; Measurement; Frequency Distributions; ... Writing the Statistics Project; Critical Values; ...

Rice Virtual Lab in Statistics, by David M. Lane.

This is a comprehensive interactive resource, with four modules.

1. HyperStat Online, an online text that includes a glossary and 18 chapters on what you might expect in an introductory statistics course. Each chapter has a brief text of its own, linked to the glossary for specific terms, plus some links to an external site on the subject.
2. Simulations/Demonstrations, Java applets that allow one to interact with the topics you expect, starting with presenting mean and median, ending with transformations.
3. Case Studies, presented by the question under study. For example, he begins with

   Smiles and Leniency
   Will a smiling person accused of a crime be treated more leniently than one who is not smiling? If so, does the type of smile make a difference?
   Concepts: quantile/boxplots, contrasts among means, Dunnett's test, Bonferroni correction

   On the left (in a frame), you can ask for cases that contain a term, such as Analysis of Variance or Boxplot, and the main display will contain only those cases with the term.
4. Data Analysis Lab, reads datasets, and runs standard statistical analyses. There are 3 datasets from which to choose (stored at Rice), and you are invited to submit a dataset to be added.

Simple Interactive Statistical Analysis, by ClaraNET Ltd.

This is a fast interactive collection of procedures with associated help that provides a good supplement for students to learn by experimenting. One nice feature is that the form is not cleared unless the student clicks a button to do so. This allows new calculations to be placed just under old ones when changing parameter values, so students can see the effect. The site contains other links and free materials that could be useful.

SAS Tutorial for AIX/UNIX, by Computer and Information Resources and Technology at University of New Mexico.

This is from 1993, but it seems complete and fairly current. If not, consult this list of other online SAS tutorials.

Splus tutorial, by the Department of Mathematics and Statistics at Dalhausie University.

This is from 1993, but it seems complete and fairly current.

Statistics Glossaries. These are generally useful for students to bookmark. All have alphabetical index to all entries.

1. http://www.cas.lancs.ac.uk/glossary_v1.1/main.html, by Valerie J. Easton and John H. McColl at Fylde College.
   Gives topical list: Sampling; Hypothesis Testing; ANOVA; ...

2. http://www.animatedsoftware.com/statglos/statglos.htm, by Howard S. Hoffman at Bryn Mawr College.
   Gives suggested learning order: Population; ... Statistic; ... Z Score; ... Confounding factor

3. http://www.stat.berkeley.edu/users/stark/SticiGui/Text/gloss.htm, P.B. Stark, by at Berkeley.
   Entire glossary is one page, including Java applets, so it takes a long time to learn.

Statlets, by NWP Associates, Inc.

This has a large variety of Java applets, free for academic use. You and your students can use their ``statlets'' on the web, or you can download for using off-line. The applets are totally interactive, and you enter your own data. The ``Instructor's Corner'' lets you send them data files that you want your students to use. The main topics (``Task List'') are plots, summaries, one sample analysis, two sample analysis, ANOVA, regression, time series, rates, and quality control. The site also has a glossary.

SticiGui^©: Statistical Tools for Internet and Classroom Instruction with a Graphical User Interface, by Philip B. Stark at University of California - Berkeley.

This is an electronic text, complete with a Glossary. The chapters range from introductory concepts, like tables and histograms, to case studies using hypothesis testing and confidence intervals. The last chapter (25) is Decision theory and game theory. Unlike other online texts, this has quizlets (mini quizzes using a form) to help the students know if they understand the material. There is also a separate section of Java Tools, which include calculators and animations.

User's Guide for MINITAB 11.2, by Robert J. Buck at Western Michigan Univeristy.

This begins with Getting Started, showing a MINITAB scran, and goes through 8 lessons, ending with ANOVA.

Virtual Laboratories in Probability and Statistics, by Kyle Siegrist at University of Alabama in Huntsville.

This uses Java to let the student experiment with basics in probability and statistics using simulation to illustrate results.

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