• Introductory Statistics
• Probability and Inference
• Regression
• Design of Experiments
• Time Series Analysis
• Multivariate Analysis
• Quality Control
• Business Statistics
• Psychology

Introductory Statistics

• Elementary Statistics Courseware By Wlodzimierz Bryc, University of Cincinnati, Leaders in Education on the Web
  This is a collection of interactive Internet and Web based materials for the course in Elementary Statistics. They are collected by "topic". Most topics come with multiple links to online lectures.
• Educational Psychology 101by 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.
• 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.
• Math 102 by Prof Hendrick, Introductory Statistics course at Colgate, with online exercises (excel)
• Stat 101 by Hal Stern at Iowa StateUniversity.
• Introduction to Statistical Methods by R. B. Campbell, lecture summaries, homework assignments, tests.
• Stat/Math 390 by Richardson, Lecture notes (html. PowerPoint),Homeworks and Quizzes Midterm and Final, Projects, Syllabus
• Statistics 201 by Sudeshna Adak. For the mathematically advanced student; moving quickly through descriptive statistics, tests of hypotheses, comparison of two samples, the binomial distribution, nonparametric methods, regression correlation and elements of the analysis of variance.
• 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 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.
• Melissa's Lounge Singing Home Page
• Introduction to Descriptive Statisticsby James "Jay" Lawson Hill
• STAT 303, Sections 503-504, Spring 1996 by Professor H. Joseph Newton
• Introduction to Nonparametric Methods by Dr. Rossini (University of South Carolina, Stat518, Fall 95)



Probability and Inference

• Advanced Statistical Inference by DR. Rossini, (University of South Carolina, Stat722, Fall 95)
• Mathematical Sciences 403 by Prof. Calvin L. Williams, Ph.D., Spring 1996



Regression

• 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.
• 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)
• Applied Business Statistics by Dr. Cook, (Iowa State, Stat 328, Fall 95)
• Statistical Methods for Research Workers in Physical Sciences, Mathematics and Engineering by Dr Cook, (Iowa State, Stat 401c, Fall 95)
• Statistics/Biostatistics 572 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).
• Linear Models by Charles T. Mosier, Clarkson University.
  On-line slide show.
• 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.



Design of Experiments

• The Statistical DOE Project (USA) from MISD/MMSTC. An interesting project on Statistical Design and Analysis of Experiments, with a brief overview of DOE, teaching materials for download.
• Stat 421 by Prof Charles Kooperberg, Applied Statistics and Experimental Design Fall '96
• Statistics and Experimental Design By Richard Lowry, Vassar College. Syllabus, calendar, lecture notes, assignments, and links to related materials.



Time Series Analysis

• Time Series Analysis (338) University of Bristol. This unit provides an introduction to time series analysis mainly from the statistical point of view but also covers some mathematical, signal processing and control engineering ideas. The unit organiser is Dr G. P. Nason.
• Recent advances in nonparametric function estimation: Hydrologic applicationsby U. Lall,Utah Water Research Laboratory and Department of Civil and Environmental Engineering, Utah State University, Logan



Multivariate Analysis

• Stat 407 - Methods of Multivatiate Analysis by Di Cook, Iowa State University.
• Stat 501 - Multivariate Statistical Methods by Di Cook, Iowa State University.
• A Practical Guide to the Use of Selected Multivariate Statisticsby Mike Wulder, Waterloo Laboratory for Earth Observations, Department of Geography, University of Waterloo, Canada
• Introduction to Radial Basis Function Networks(regression, classification and time series prediction) by Mark J. L. Orr, Centre for Cognitive Science, University of Edinburgh



Quality Control

• Reliability Engineering By Dr. Ramon V. Leon, University of Tennessee. Syllabus, calendar, lecture notes, assignments, exams, student work and links to related materials.
• Statistical Methods for Industry (Statistical Process Control) By Dr. William C. Parr, University of Tennessee. Syllabus, calendar, lecture notes, assignments, and exams as they are given.



Business Statistics

• MG284 Charlie Mosier at Clarkson University.
• Stat 328 - Applied Business Statistics by Di Cook, Iowa State University.



Psychology

• Educational Psychology, PennState
• Psychology 230 by Dr. J. J McDowell, Emory University Atlanta, Georgia Elementary Statistics
• Psychological Statistics by David W. Stockburger, SMSU, Introductory Statistics, Multivariate Statistics, Active X Exercises.
• Educational Psychology 390A by Dr. Gary Cziko, Elements of Educational Statistics, Great lecture notes help clarify statistics.
• PSYC 2101H. Introduction to Statistics in Psychological Research.
• PSYC 5741/5751. General Statistics. A two-semester course covering statistics at the graduate-student level.
• Psychology 3030by Michael Friendly, Intermediate Statistics, York University
• Psychology 6140: by Michael Friendly, Multivariate Data Analysis York University
• Psych 406, by PhD Connie Varnhagen, an Honors Statistics course taught at the University of Alberta (Canada).
• David Howell's Statistical Page This is page contains data files, examples, etc. mostly designed for use with two statistics texts written by the Prof. Howell, Fundamental Statistics for the Behavioral Sciences, 3rd ed., and Statistical Methods for Psychology, 3rd ed.
• LIR 493: Quantitative Methods by Professor Wallace Hendricks University og Illinois at Urbana-Champaign, Institute of Labour and Industrial Relations.

Comments, Corrrections and Suggestions Welcomed