Mobius Publishing Ltd.
Where the learning never ends...
  
   
Using simulation to teach statistics is the active learning way to teach statistics. The companion simulation-based instructional software does for statistics what a good laboratory component does for chemistry. Simulation lets students experience randomness in action for themselves. The result is that students learn intuitively and thoroughly the statistical concepts and skills they will need, not only for tests like the AP, but also throughout their lives. This introductory textbook is suitable for college and high school (both AP and non-AP Statistics). An algebra course is the only prerequisite to this course. This textbook is effective for both a concepts-based “liberal arts” statistics course and a methods-based statistics course. The creative tension between the two emphases in this textbook functions synergistically and forges a stronger and more balanced textbook. The textbook has been significantly influenced by the College Board’s AP Statistics Course Description, fully embracing its emphasis on self-constructed knowledge, simulation, group projects and learning, and the integrated use of technology. The third edition of this text was published in 2002 and is now available in limited quantities.


About the Principal Authors

Dr. Ditlev Monrad A dedicated statistics teacher and researcher in the area of probability, Dr. Monrad is an Associate Professor in the Department of Statistics and the Department of Mathematics at the University of Illinois at Urbana-Champaign (UIUC).

Dr. William F. Stout Dr. Stout, UIUC Professor of Statistics, is an internationally acclaimed researcher in the application of statistics to the field of educational measurement. He has received NSF funding for this and a wide range of other projects throughout his entire university career. He serves as president of the international Psychometric Society and is a consultant to the Educational Testing Service. He has taught statistics at all levels for over thirty years.

Dr. E. James Harner Dr. Harner is Professor and Chair of the Department of Statistics at West Virginia University. He has co-developed several statistical software instructional packages and Web-based learning environments. He is an expert in the field of Web-based instruction of mathematics and statistics.

Dr. Robert L. Gould The Director of the Center for Teaching Statistics in the Department of Statistics at the University of California at Los Angeles (UCLA), Dr. Gould takes an active leadership interest in statistics instruction at all levels.

Dr. Louis Roussos Dr. Roussos is Chief Psychometrician at Prime Assessment, a highly innovative developer of test-based formative assessments, including the one on which the NSF grant for this project is based. In addition, he serves as Assistant Professor of Educational Measurement in the Department of Educational Psychology at the UIUC.