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