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Statistics Education Links

Compiled by Juha Puranen
Department of Mathematics and Statistics
University of Helsinki
(Original Site)

A few links related to Statistics Education

This is Juha Puranen's list of some useful links related to Statistics Education - Online Statistical teaching material, courses , handouts, exercises, articles, datasets, useful lists of links etc...

The list has not been updated since February 2004. Juha has kindly agreed to move the list to to be developed and maintained. This list is still one of the most comprehensive in statistics education and CAUSE is happy to facilitate this work.


Online statistical teaching material

PC programs

  • Maths, Stats, and OR Network.
    Supports instructors of Math, Statistics, and Operations Research by promoting, disseminating, and developing good practice in the UK.
    Statistical Education through Problem Solving, organized under the UK Teaching and Learning Techniology Programme to produce computer-based teaching materials (for a first course in Statistics) organized around substantive problems in various content areas (biology, business, geography and psychology) [Australian mirror site].
  • Computer Aided Learning Tools In Statistics And Modelling (QUERCUS) The project focuses on creating a series of tools to enhance the teaching and learning of statistics and modelling. It is envisaged that this will lead to substantial savings of staff time.
  • First Bayes First Bayes teaching package for elementary Bayesian Statistics.
  • Models`n`Data A program for teaching statistical concepts Models`n`Data runs on all the Apple Macintosh range of computers, from the Mac Plus onwards.
  • Sila The program Sila demonstrates the basics of inference, whereas the program PQRS (also used as a tool in Sila) shows probability distributions.
  • Classroom Resources for Mathematics Teachers Probability and Statistics University of Illinois at Urbana-Champaign. Three Door Puzzle. An interactive...
  • Statistics Instruction Using Technology Target Audience: This software was developed for Educational Psychology 101, Analysis and Integration of Statistical Data in Education, an introductory statistics course for health, psychology, and education students.
  • Click&Learn Regression Windows demo version of Click&Learn Regression. Works with both Windows 3.1 and Windows 95. (457K).

WWW - based teaching material

  • Web-oriented Teaching Resources in Probability and Statistics
  • Statistics for Psychology by Arthur Aron and Elaine Aron ( Elliot Coups, Rutgers Universit Prentice-Hall, Inc.)
  • Introductory Statistics Demonstrations
    This information will be useful for students as the class proceedes. View these demonstrations after you have covered these concepts in class. Refer back to these demonstrations for a review and a visual guide to some of the conceptual topics related the tests we learn in class.
  • STAT 100 Some Experimental Interactive Statistics Pages.
    The Department of Statistics University of Illinois at Urbana-Champaign, with funding from SCALE (The Sloan Center for Asynchronous Learning Environments), is developing some statistics modules that can be accessed through the web.
  • STATS - STeve's Attempt to Teach Statistics
  • Virtual Laboratories in Probability and Statistics The goal of this project is to provide interactive, web-based modules for students and teachers of probability and statistics.
  • Introductory Statistics.Statistics Online Course Catalog.
  • Web Interface for Statistical Education The Claremont Colleges Web Interface for Statistical Education seeks to expand upon the teaching resources offered through the Introductory Statistics courses in the social sciences. This project will develop an on-line teaching tool to take advantage of the unique hypertextual and presentational benefits of the World Wide Web (WWW). The primary application will be to supplement traditional teaching materials by offering self-paced learning of topics and ready access to supporting materials.
  • G.A.S.P. The Globally Accessible Statistical Procedures initiative is designed to make statistical routines easily available via the WWW.
  • Is your answer correct? by Mike McLaughlin. The calculator on this page computes both a central confidence interval as well as the shortest such interval for an observed proportion based on the assumption that you have no prior information whatsoever.
  • SFU Statistics Innovations in Teaching Statistics (Workshopindex)
  • Instructions for 30 common calculatorsaA place to refer students who don't know how to work their particular model, the site gives button-by-button instructions for entering data, clearing data, finding one and two variable statistics, even turning the calculator on and off!
  • WebStat This site is designed to provide information, demonstrations, links and quizzes associated with statistics. WebStat is specifically designed with Psychology students in mind. This site is done for the Univesity of New England Australia.
  • Teach Modules - Teaching Statistical Concepts to Undergraduate Students
  • DIGSTATS is a WWW resource for integrating statistics and data visualization into mathematics and science courses in secondary schools, community colleges and undergraduate programs. Modules cover concepts from descriptive statistics, inferential statistics, two dimensional graphical analysis and three dimensional data visualization.
  • Diagnostic Instructional Aid for Noetic Advancement An interactive question/answer system covering elementary probability.
  • CASIP Restructuring Undergraduate Statistics in Psychology A Complete Integration of Computers into Instruction and Evaluation
  • Butterfly StatisticsDid you ever hear of words like mean, standard deviation, or variance? They're statistical terms and this page will help you learn about them and other descriptive statistics concepts. You'll measure traits of buterflies using an image processing program. All of the tools you need, you can get on the Internet. So, check it'll learn about statistics, image processing, the Internet and butterflies! Have fun!
  • Educational Multimedia via the Web We are offering a few sets of educational material using the Web as distribution mechanism.
  • The Geometry Center The best place, at the moment, to see the possibility of computer intereractive instructional material where the server does the work.
  • Multiple Regression with Ren & Stimpy! This overview was constructed by three graduate students at New Mexico State University's Psychology Department as a project for their last statistics course.
  • ECO 131: Economic Reasoning Using Statistics! Descriptive Stat, Regression I, Hypothesis Testing
  • FR 5218 - Regression Refresher We will apply or talk about the application of regression analysis in conjunction with many topics in this course. The documents below present an incomplete review of simple linear regression as well as a brief introduction to two more advanced regression topics to which reference will be made during the course.
  • On-line course in statistics Check out chapter 1 of the on-line course for free !
  • Statistics Every Writer Should Know Numbers can't "talk" but they can tell you as much as your human sources can. But just like with human sources, you have to ask!
  • Guide to Basic Laboratory Statistics
  • Statistical considerations for clinical trials and scientific experiments Find sample size, power or the minimal detectable difference for parallel studies, crossover studies, or studies to find associations between variables, where the dependent variable is Success or Failure, a Quantitative Measurement. or a or a time to an event such as a survival time.
  • SMART Explorapaedia of Statistical and Mathematical Techniques. SMART is a collaborative approach to the production and delivery, via the World Wide Web, of training in quantitative methods.
  • Ken White's Coin Flipping Page
  • Electronic Encyclopedia of Exercises and Examples EESEE is designed to be a resource for educators and an aid for students in the study of statistics. It is intended to serve as a supplement to introductory textbooks written for students with varying degrees of mathematical backgrounds.
  • TrackStar TrackStar helps instructors organize and annotate Web sites (URLs) for use in lessons. The resource list remains visible allowing the user to easily stay on track.


Java and Other



Statistical texts

Statistical Graphics

Statistical courses, handouts, exercises, e.t.c.

Homepages for statistical courses

Introductory Statistics

  • Investigating Statistics by Robert L. Hale, Ph.D.
  • Business Statistics by Lari Arjomand, Clayton State College. Junior-level course. Syllabus, calendar, lecture notes, assignments, student work, and links to related materials. (needs PowerPoint)
  • Math 37 - Probability and Statistics by Dr. Chance, University of the Pasific, Fall 1996, Syllabus, Handouts, Homeworks.
  • Stat-301 - Statistics for the Life Sciences - Handouts by Carl J. Schwarz. SFU Statistics
  • Notes for a basic Statistics Course by William Knight,
    These notes are compiled for a first course in statistics at the University of New Brunswick, and as a resource for high school statistics courses.
  • QuizStar Introduction to Statistics by M.G. Settle. Lecture notes + Quiz
  • Statistics 3011 Statistical Analysis Luke Tierney Spring 1999
  • Stat101 by E. James Harner Department of Statistics. West Virginia University. Handouts
  • Brief Statistics Tutorial, Anaesthesiology & Intensive Care Unit, The University of Queensland , Brisbane, Australia Designed for medical and nursing students. Great review of basic descriptive and inferential statistics.
  • Calculus Applied to Probability and Statistics for Liberal Arts and Business Majors A Complete Text Resource on the World Wide Web by Stefan Waner and Steven R. Costenoble
  • Math 102 Introductory Statistics course at Colgate, with online exercises (excel)
  • Statistical Thinking Course at VCU This course at Virginia Commonwealth University uses Jessica Utts' book.
  • Collecting and Analyzing Data NUR390: Class: Collecting & Analyzing Data In this module, you will learn to evaluate the appropriateness of data and data analysis methods in relation to the research question/hypotheses and the research design.
  • Science 101: Data collection and analysis by Albert Goodman at Deakin Univ
  • Introduction to Statistical Methods by R. B. Campbell, lecture summaries, homework assignments, tests.
  • Statistics 201 by Arnab Chakraborty. This course is an introduction to the fundamental ideas and techniques behind statistical modeling, with an emphasis on the analysis of real data sets from a variety of fields, using the S-plus statistical programming language.
  • Public Management and Applied Statisticsby H. T. Reynolds, University of Delaware. Applied statistics course for graduate and advanced undergraduate students in social and behavioral sciences, public administration, urban affairs, and public programs.
  • Principles of Biostatistics by Marcello Pagano, Harvard University. Syllabus, calendar, assignments, and links to related materials.
  • Statistical Methods II by Tom Short, Villanova University. Syllabus, calendar, assignments.
  • EDP 552 Basic Data Analysis by Dr. Behrens (Syllabus, topics, lecture materials and demonstrations)
  • Statistics for Science and Engineering by Prof. Calvin L. Williams, Ph.D., Fall 1997
  • Statistics for Engineers
    By Professor Tibor G. Rozgonyi Currently at Colorado School of Mines
  • STA 541 Applied Statistics for Engineers & Scientists by James M. Davenport
  • ST311 Laboratory Reading, Demonstrations, Assignments
  • Durham Statistics Group Some handouts.
  • Introduction to Descriptive Statisticsby James "Jay" Lawson Hill
  • STAT 303, Sections 503-504, Spring 1996 by Professor H. Joseph Newton


Probability and Inference

Linear models

  • Applied Regression Analysis for MS Students by Prof. Weisberg (U Mn, Stat 5161, Fall 1994) Assignments (html and pdf)
  • Prof. Weisberg, Statistics 5161: by Prof. Weisberg, Masters' level Regression Analysis (html handouts, homework assignments, datasets)
  • Stat 423 by Prof. Charles Kooperberg, Applied Regression and Analysis of Variance (S+) Labs and midterm. - Winter 1996
  • Course notes on Regression and Anova in S+, Generalized Linear Models by Prof. Faraway.
  • Virtual Statistics 153A.Statistics 153A is an introduction to regression analysis and its applications; topics include simple regression, multiple regression, and analysis of variance (ANOVA).
  • Correlation and Regression by Michael T. Brannick This course is an introduction to correlation and regression. It covers both application and theory underlying these methods, including assumptions, interpretation, limitations, and the proper use of correlation and regression techniques.
  • CRDSA OJOC 560 Course Materials by Robert Wolfe Professor of Biostatistics Department of Biostatistics School of Public Health University of Michigan
  • EDPSY 507 by Prof. Hale, Multivariate Prosedures in Educational Researrch (3)
    This course teaches multiple regression analysis, multiple and canonical correlation, multiple discriminant analysis, classification procedures, factor analysis. (html text)
  • STATISTICS 350 Linear Models in Applied Statistics II. by Richard Lockhart, Handouts, assignments.
  • Statistics 322by Robert McCulloch
  • Statistics/Biostatistics 572 (1996) by Ardian Raftery, - Advanced Applied Statistics and Linear Models III - Spring Quarter, 1996
    (homeworks, datasets and comments)
  • Sociology 110C by Robert A. Hanneman, Slide-Show Index
    This page is the starting point for using a series of on-line slide shows that support lectures in Sociology 110C (Introduction to Multivariate Analysis).
  • Phil Pollett MS213: Introductory Data Analysis Introduction: Our objective is to introduce the basic concepts of data analysis. We shall look at the following topics in some detail: methods of summarizing and displaying data, regression and regression diagnostics, analysis of variance, introductory experimental design, chi-square tests and non-parametric methods.
    (html handouts, Assignments)
  • Linear Regression a lesson by Amar Patel.
    This is a lesson which will allow students to explore notions of relationship between two variables. There are many problems and activities included in this lesson to aid learning and classroom discussion.
  • Prediction Methods in Science and Technology by Agnar Höskuldsson Technical University of Denmark This website contains different material on Prediction Methods in Science and Technology.
  • The Generalized Linear Models Page
  • Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis, by Ph.D., Professor Frank Harrell, University of Virginia School of Medicine.




Computational Statistics

  • Stat 438 by Jeff Banfield, Graphical Data Analysis - Winter 1995
    To get the most out of the course you will need a good graphical Web browser such as Mosaic or Netscape and, when you get to the section on dynamic graphics, a helper application that can play QuickTime or MPEG movies. If you are accessing these pages through the Internet please read the introduction for off campus visitors.
  • Computational Statistics, by Prof. Gentle, (Carnegie Mellon University) (PS-handouts)
  • Advanced Topics in Computational Statistics by Prof. Gentle, Multivariate Density Estimation, (Carnegie Mellon University) (PS-handouts, assignments, projects).
  • Topics in Computational Statistics by Prof. Gentle, Data Partitioning and Resampling, (Carnegie Mellon University) (PS-handouts, assignments).
  • Statistical and Scientific Computing, by Profs. Stuetzle and Bruce, (U Washington) (PS-slides, homeworks and solutions).
  • Computer Intensive Methods in Statistics: Biometry 494 - 694 by Prof. Susan Holmes

Statistical packages

Design of Experiments and sampling

Quality control

History of Statistics

Spatial statistics


Time Series Analysis

Research Projects


Statistical articles and jokes

Teaching material


Statistical datasets

Statistical demos


Statistical software

  • SURVO Survo is a general computing environment developed by professor Seppo Mustonen. The new Windows version SURVO MM was released in the spring of 2001. The unique concept of editorial approach means that all functions of the system are controlled by a specific text editor. The way of working is immediate and efficient, because the results appear at the same word processing area, called the edit field. This approach gives the user not only the results but also the instructions how the work was done.
  • WinIDAMS 1.0 WinIDAMS is a software package internationally developed by UNESCO. It is a freeware data mining/statistical analysis software package for 32-bit Windows operating system, which provides data manipulation and validation facilities, classical and advanced statistical techniques, including interactive construction of multidimensional tables, graphical exploration of data, time series analysis, and a large number of multivariate techniques.
  • Chemometrics Online Chemometrics Online is a free educational tool that provides you with powerfulmethods of data analysis over the web.
  • Webstat A statistical computing environment for the World Wide Web by Webster West
  • Stattucino Statistical Analysis Stattucino is a java based system for data analysis. This service is provided free of charge.
  • Data visualization system by Moon Yul Huh Professor of statistics SKK University. Davis is a stand alone pure JAVA-based application and has been implemented to make the most of visualization techniques. The key feature of DAVIS is the real-time interaction among the various statistical and graphical tools and tables. For example, when we modify a portion of data in a specific module, or when we change the value of parameters of a statistical module, this effect is propagated to all the other modules in real time.
  • CurveExpert CurveExpert 1.3 is a comprehensive curve fitting system for Windows.
  • ARC This is the official Web site for the book Applied Regression Including Computing and Graphics by R. Dennis Cook and Sanford Weisberg, published by John Wiley & Sons in August, 1999 (ISBN 0-471-31711-X). It is also the download site for the software package Arc that is discussed in the book.
  • Goose The GNU Object-Oriented Statistics Environment. Goose is a LGPLed C++ library dedicated to statistical computation.
  • Software Duke University (BATS, DataDesk, Kwikstat and Winks, MathSoft, Minitab Inc, NCSS Statistical Softwar, SAS Institute Inc, SPSS, Stata, Statistica, StatSoft, ViSta, Xlisp-Stat home, Xplore, e.t.c.
  • Comparison of mathematical programs for data analysis
  • Statistical Computing Resources on the Internet
  • Statistical Computing Tools from the Division of Biostatistics and Epidemiology Department of Health Evaluation Sciences
  • A comprehensive list of power analysis software for for microcomputers University of British Columbia
  • Spreadsheets, Mathematics, Science, and Statistics Education This page tries to collect some information about spreadsheets with an emphasis on mathematics and statistics education.
  • StatCodes On-line statistical software for astronomy and related fields
  • Comparison between SYSTAT and SPSSby Gurusingham Sathiyandra
  • R R is `GNU S' - A language and environment for statistical computing and graphics.
  • XploRe(Linux)
  • MacAnova
  • Lisp-Stat
  • EasyReg Econometrics Software for Easy Regression Analysis by Herman J. Bierens EasyReg conducts various econometric estimation and testing tasks under Windows 3.1/95/NT, simply by clicking the mouse. EasyReg is designed for use in empirical research, and for teaching econometrics.
  • Multilevel Models Project This page deals with multilevel models in general, and their analysis with Prof. Harvey Goldstein's MLn software in particular. A useful resource for anyone who deals with hierarchically structured data.
  • POSDEM, allows for several sampling methods, answering among other questions: what is the best sampling plan for a specific population frame?; which is the sampling size related for a significance level?; what is the mean square error expected?; what are the units that must be investigated?; what happens if ...?
  • NonParametric STATistical Testing NPSTAT and NPFACT are a subset of programs developed to carry out computer intensive analysis (such as randomization tests but not bootstrapping). They provide nonparametric methods of nullhypothesis testing.
  • Ade-4 Ecological Data Analysis : Exploratory and Euclidean methods in Environmental sciences
  • NetMul a WWW online multivariate analysis system.
  • XLSTATS LSTATS (Version 1.1) is a set of EXCEL 5 workbooks/templates useful for statistical analyses and exploration.
  • Accessible Statistical Resources for Medicine and Life Sciences. The Arcus project exists to provide accessible statistical resources for medicine and the life sciences. New methods and state of the art algorithms are included rapidly once they are accepted by consensus of experts. Support of non-expert users is given by very easy to use software and extensive help illustrated with examples. Support of expert users is given by coverage of methods not included in or done poorly by other statistical packages. Shareware version of Arcus Pro-Stat for DOS
  • Jim Steiger's Home Page The following free software is available now for downloading. Help yourself!
    MULTICORR : A DOS program for testing pattern hypotheses on correlations. Want to test whether a group of correlations are all zero? Want to compare matrices of correlations over time? Want to test for circumplex structure? Look no further.
    R2 : A DOS program for confidence interval estimation, power calculation, and sample size estimation for the squared multiple correlation. You are unlikely to find these capabilities anywhere else.
  • Data Desk Data Desk Demonstration CD-ROM. This CD contains demonstration versions of Data Desk and ActivStats that run on Macs, and PCs running Windows 95 and Windows NT.
  • Frequently Asked Questions and Answers Mainly SAS

Organisations and lists



Education statistics

Teaching and other Tips