Introduction: Modern, web-based learning and computing provides the means for fundamentally changing the way in which statistical instruction is delivered to students. Multimedia learning resources combined with CD-ROMs and workbooks attempt to explore the essential concepts of a course by using the full pedagogical power of multimedia. Many Web sites have nice features such as interactive examples, animation, video, narrative, and written text. These web sites are designed to provide students with a "self-help" learning resource to complement the traditional textbook.
Online learning education does for knowledge what just-in-time delivery does for manufacturing: It delivers the right tools and parts when you need them. The Java applets are probably the most phenomenal way of simplifying various concepts by way of interactive processes. These applets help bring into life every concept from central limit theorem to interactive random games and multimedia applications.
Modern, web-based learning and computing provides the means for fundamentally changing the way in which decision science, operations/operational research, and statistics instruction is delivered to students. Many Web sites have nice features such as interactive examples, animation, video, narrative, and written text. These web sites are designed to provide students with a "self-help" learning resource to complement the traditional textbook.
The following compilation summarizes currently available public domain web sites offering instructional material. While some sites may have been missed, I feel that this listing is fully representative. I would welcome information regarding any further sites for inclusion, E-mail. Kindly e-mail me your comments, suggestions, and concerns. Thank you.
To search the site, try Edit | Find in page [Ctrl + f]. Enter a word or phrase in the dialogue box, e.g. "statistics" or "project management" If the first appearance of the word/phrase is not what you are looking for, try Find Next.
Companion Sites:
Business Statistics
Excel For Statistical Data Analysis
Topics in Statistical Data Analysis
Time Series Analysis and Business Forecasting
Computers and Computational Statistics
Questionnaire Design and Surveys Sampling
Probabilistic Modeling
Systems Simulation
Probability and Statistics Resources
Success Science
Leadership Decision Making
Linear Programming (LP) and Goal-Seeking Strategy
Artificial-variable Free LP Solution Algorithms
Integer Optimization and the Network Models
Tools for LP Modeling Validation
The Classical Simplex Method
Zero-Sum Games with Applications
Computer-assisted Learning Concepts and Techniques
Linear Algebra and LP Connections
From Linear to Nonlinear Optimization with Business Applications
Sensitivity Region for LP Models
Zero Sagas in Four Dimensions
Business Keywords and Phrases
Collection of JavaScript E-labs Learning Objects
Decision Science Resources
Basic Definitions
By V. Easton and J. McColl, Contains glossary of basic terms and concepts.
Basic principles of statistical analysis
By Bob Baker, Basics concepts of statistical models, Mixed model, Choosing between fixed and random effects, Estimating variances and covariance, Estimating fixed effects, Predicting random effects, inference space, Conclusions, Some references.
Calculus Applied to Probability and Statistics for Liberal Arts and Business Majors
By Stefan Waner and Steven Costenoble, contains: Continuous Random Variables and Histograms; Probability Density Functions; Mean, Median, Variance and Standard Deviation.
Academic Info
Here is a wealth of information. Specific categories are included for a search within a subject. This is a good search by Keyword feature. You can type in anything and find historical, research, or location data.
Data and Story Library
It is an online library of datafiles and stories that illustrate the use of basic statistics methods.
Descriptive Statistics Computation
Enter a column of your data so that the mean, standard deviation, etc. will be calculated.
Fisher's Exact Test
By Øyvind Langsrud, To categorical variables with two levels.
HyperStat Online
By David Lane. It is an introductory-level statistics book.
Academic Info
Here is a wealth of information. Specific categories are included for a search within a subject. This is a good search by Keyword feature. You can type in anything and find historical, research, or location data.
Interactive Statistics
Contains some nice Java applets: guessing correlations, scatterplots, Data Applet, etc.
Interactive Statistics Page
By John Pezzullo, Web pages that perform mostly needed statistical calculations. A complete collection on: Calculators, Tables, Descriptives, Comparisons, Cross-Tabs, Regression, Other Tests, Power&Size, Specialized, Textbooks, Other Stats Pages.
Academic Info
Here is a wealth of information. Specific categories are included for a search within a subject. This is a good search by Keyword feature. You can type in anything and find historical, research, or location data.
Introduction to Quantitative Methods
By Gene Glass, A basic statistics course in the College of Education at Arizona State University.
Introductory Statistics Demonstrations
Topics such as Variance and Standard Deviation, Z-Scores, Z-Scores and Probability, Sampling Distributions, Standard Error, Standard Error and Z-score Hypothesis Testing, Confidence Intervals, and Power.
The Introductory Statistics Course: A New Approach
By D. Macnaughton. Some students frequently view statistics as the worst course taken in college. To address that problem, this paper proposes five concepts for discussion at the beginning of an introductory course: (1) entities, (2) properties of entities, (3) a goal of science: to predict and control the values of properties of entities, (4) relationships between properties of entities as a key to prediction and control, and (5) statistical techniques for studying relationships between properties of entities as a means to prediction and control. It is argued that the proposed approach gives students a lasting appreciation of the vital role of the field of statistics in scientific research. Successful testing of the approach in three courses is summarized.
Java Applets
By many contributors. Distributions, Area Under Normal Curves, Z Scores & the Normal Distribution. Probability & Stochastic Processes, ANOVA, Confidence Intervals, Regression, Spearman's rank correlation, T-test, Simple Least-Squares Regression, and Discriminant Analysis.
Online Statistical Textbooks
By Haiko Lüpsen.
Power Analysis for ANOVA Designs
By Michael Friendly, It runs a SAS program that calculates power or sample size needed to attain a given power for one effect in a factorial ANOVA design. The program is based on specifying Effect Size in terms of the range of treatment means, and calculating the minimum power, or maximum required sample size.
Practice Questions for Business Statistics
By Brian Schott, Over 800 statistics quiz questions for introduction to business statistics.
Prentice Hall Statistics
This site contains full description of the materials covers in the following books coauthored by Prof. McClave: A First Course In Statistics, Statistics, Statistics For Business And Economics, A First Course In Business Statistics.
Probability Lessons
Interactive probability lessons for problem-solving and actively.
Probability Theory: The logic of Science
By E. Jaynes. Plausible Reasoning, The Cox Theorems, Elementary Sampling Theory, Queer Uses for Probability Theory, The Entropy Principle, Ignorance Priors -- Transformation Groups, Decision Theory: Historical Survey, Orthodox Statistics: Historical Background, Principles and Pathology of Orthodox Statistics, Time Series Analysis and Auto regressive Models, Spectrum / Shape Analysis, Model Comparison and Robustness, and Computer Programs.
Rice Virtual Lab in Statistics
By David Lane et al., An introductory statistics course which uses Java script Monte Carlo.
Sampling distribution demo
By David Lane, Applet estimates and plots the sampling distribution of various statistics given population distribution, sample size, and statistic.
Simple Regression
Enter pairs of data so that a line, or curve can be fit to the data.
Some experimental pages for teaching statistics, by Juha Puranen, contains some - different methods for visualizing statistical phenomena, such as Power and Box-Cox transformations.
SPSS Tools
By Raynald Levesque, An SPSS dedicated web site includes more than 525 free sample syntax, macros and scripts classified by purpose as well as Tips, FAQs, tutorials and a Newbie's Corner.
Statlets: Download Academic Version (Free)
Contains Java Applets for Plots, Summarize, One and two-Sample Analysis, Analysis of Variance, Regression Analysis, Time Series Analysis, Rates and Proportions, and Quality Control.
Statistical Analysis Tools
Part of Computation Tools of Hyperstat.
Statistical Demos and Monte Carlo
Provides demos for Sampling Distribution Simulation, Normal Approximation to the Binomial Distribution, and A "Small" Effect Size Can Make a Large Difference.
Statistical Education Resource Kit
By Laura Simon, This web page contains a collection of resources used by faculty in Penn State's Department of Statistics in teaching a broad range of statistics courses.
Statistical Calculators
Presided by UCLA, Material here includes: Power Calculator, Statistical Tables, Regression and GLM Calculator, Two Sample Test Calculator, Correlation and Regression Calculator, and CDF/PDF Calculators.
Statistical Home Page
By David C. Howell, This is a Home Page containing statistical material covered in the author's textbooks (Statistical Methods for Psychology and Fundamental Statistics for the Behavioral Sciences), but it will be useful to others not using those book. It is always under construction.
Statistics
This server will perform some elementary statistical tests on your data. Test included are Sign Test, McNemar's Test, Wilcoxon Matched-Pairs Signed-Ranks Test, Student-t test for one sample, Two-Sample tests, Median Test, Binomial proportions, Wilcoxon Test, Student-t test for two samples, Multiple-Sample tests, Friedman Test, Correlations, Rank Correlation coefficient, Correlation coefficient, Comparing Correlation coefficients.
Statistics Homepage
By StatSoft Co., Complete coverage of almost all topics
Statistics: The Study of Stability in Variation
Editor: Jan de Leeuw. It has components which can be used on all levels of statistics teaching. It is disguised as an introductory textbook, perhaps, but many parts are completely unsuitable for introductory teaching. Its contents are Introduction, Analysis of a Single Variable, Analysis of a Pair of Variables, and Analysis of Multi-variables.
Statistics Every Writer Should Know
By Robert Niles and Laurie Niles. Treatment of elementary concepts.
Statistics Glossary
By V. Easton and J. McColl, Alphabetical index of all major keywords and phrases.
Statistics on the Web
By Clay Helberg, Just as the Web itself seems to have unlimited resources, Statistics on the web must have hundreds of sites listing such statistical areas as: Professional Organizations, Institutes and Consulting Groups, Educational Resources, Web courses, and others too numerous to mention. One could literally shop all day finding the joys and treasures of Statistics!
Statistics To Use
By T. Kirkman, Among others it contains computations on: Mean, Standard Deviation, etc., Student's t-Tests, chi-square distribution test, contingency tables, Fisher Exact Test, ANOVA, Ordinary Least Squares, Ordinary Least Squares with Plot option, Beyond Ordinary Least Squares, and Fit to data with errors in both coordinates.
Tables
By William Knight, Tables for: Confidence Intervals for the Median, Binomial Coefficients, Normal, T, Chi-Square, F, and other distributions.
SURFSTAT Australia
By Keith Dear. Summarizing and Presenting Data, Producing Data, Variation and Probability, Statistical Inference, Control Charts.
WWW Resources for Teaching Statistics
By Robin Lock.
Academic Info
Here is a wealth of information. Specific categories are included for a search within a subject. This is a good search by Keyword feature. You can type in anything and find historical, research, or location data.
A Tutorial on Integer
This web site offers instruction on using integers in modeling and in problem solving programs. After an introduction, the site offers instruction on modeling with Integer Variables. This section includes several programs that involve modeling. There is a section that details with Solving Integer Programs and offers techniques and examples of Integer Programs. This site is very detailed and is organized like a textbook. It contains thought provoking information. However, it requires a large time commitment to finish the tutorial.
Compendium of NP Optimization Problems
This site, hosted by Professor Viggo Kann of the Royal Institute of Technology in Stockholm, offers a wide range of optimization problems. Most of them seemed too advanced for our OPRE class, but they certainly sounded most interesting, including
"sequencing on one processor", "shop scheduling", and just about everything in "games and puzzles". In particular, the "Minimum Travel Robot Localization" seems like it'd be quite an interesting application of the traveling salesman problem (at
least, that's the classic combinatoric problem I'd compare it to).
Decision Making
I liked this site, compiled by Carter McNamara, because of the wealth of information related to decision-making. We sometimes fall into the pit of focusing too much on the tools. The tools are very important, but only if they help in making a decision. The site is quite comprehensive and extensively addresses all aspects of the decision-making process - from properly defining the problem to non-technical and technical ways to solve the problem.
Decision Theory and Decision Trees
This terrific Web site is part of the MindTools site, offering a range of career-related analysis tools and references. The site also includes a smartly designed online bookstore. One of my favorite areas was "Techniques for Controlling Stress", but perhaps that's just because this is graduate school! Anyway, this particular area of the site has a cogent discussion about decision tree analysis: choosing between options by projecting likely outcomes. What I thought was so valuable is that
they present a complex topic in a simple and straightforward manner. Of course, computer scientists are familiar with decision trees because they're flowcharts gussied up with some probabilities tossed into the mix!
This Web site explains how to use decision trees to make decisions, which involves a lot of complex and sequential stages. The process is designed to teach people how to make accurate, balanced pictures of the risks and rewards that can result from various courses of action relating to a single problem. The website explains the uses of decision tree, and benefits. It also shows how to design a decision tree. It starts off explaining the basics of the drawing and then continues to teach the reader how to evaluate the decision tree. The site also explains the calculation of the tree values, uncertain outcome nodes, and the decision nodes. This site gives you useful information that is easy to understand.
This site was launched on 2/25/1994, and its intellectual materials have been thoroughly revised on a yearly basis. The current version is the 8th Edition. All links are checked once a month.