Introduction to Statistical Investigations, Second Edition

Nathan L. Tintle is associate professor of statistics at Dordt College. He has led efforts to develop and institutionalize randomization-based curricula at two institutions (Hope College, 2005–2011 and Dordt, 2011–present), and currently leads the curriculum development project. He has been an invited panelist for several statistics education sessions at national meetings, was recently a member of the executive committee of the Section of Statistical Education of the ASA, received the 2013 Waller Education Award for teaching and innovation in introductory statistics, and was a member of a national advisory committee to the ASA President on training the next generation of statisticians. He has co-authored several articles on student learning using the randomization curriculum, one of which recently won an award for best paper of the year from the Journal of Statistics Education.

Beth L. Chance is Professor of Statistics at California Polytechnic State University. She is also co-author with Allan Rossman of the Workshop Statistics series. She has published articles on statistics education in The American Statistician, Journal of Statistics Education, and the Statistics Education Research Journal. She has also collaborated on several chapters and books aimed at enhancing teacher preparation to teach statistics and has been involved for many years with the Advanced Placement Statistics program. She is a Fellow of the American Statistical Association and received the 2002 Waller Education Award for Excellence and Innovation in Teaching Undergraduate Statistics. The Rossman/Chance collection of online applets for exploring statistical concepts was awarded the 2009 CAUSEweb Resource of the Year Award and a 2011 MERLOT Award for Exemplary Learning Materials.

George W. Cobb is Robert L. Rooke Professor Emeritus of Statistics at Mount Holyoke College and has extensive knowledge of statistics education, expertise in developing imaginative and innovative curricular materials, and the honor of having brought the conversation on randomization-based approaches in introductory statistics to the mainstream via his 2005 USCOTS presentation and 2007 paper. He served as the first chair of the Joint Committee on Undergraduate Statistics of the American Mathematical Association and American Statistical Association (1991–98), editing that committee’s 1992 report, “Teaching Statistics.” He served for three years on the National Research Council’s Committee on Applied and Theoretical Statistics and recently served as vice-president of the American Statistical Association. He is a Fellow of the ASA and received the ASA’s Founders Award in 2007. He has published/edited a number of books.

Allan J. Rossman is professor and chair of the statistics department at California Polytechnic State University. He earned a Ph.D. in Statistics from Carnegie Mellon University. He is co-author with Beth Chance of the Workshop Statistics series and Investigating Statistical Concepts, Applications, and Methods, both of which adopt an active learning approach to learning introductory statistics. He served as program chair for the 2007 Joint Statistical Meetings, as president of the International Association for Statistical Education from 2007 to 2009, and as chief reader for the Advanced Placement program in statistics from 2009 to 2014. He is a fellow of the American Statistical Association and received the Mathematical Association of America’s Haimo Award for Distinguished College or University Teaching of Mathematics in 2010.

Soma Roy is associate professor of statistics at California Polytechnic State University. She is editor of the Journal of Statistics Education and has presented talks related to the randomization-based curriculum and student learning at national meetings. She writes and reviews assessment tasks for the Illustrative Mathematics Project, an initiative to support adoption of the K-12 core standards for statistics. She co-leads, with her colleagues at Cal Poly, a teacher-preparation workshop for AP Statistics teachers. She also has an active research program in health statistics involving undergraduates.

Todd M. Swanson is associate professor of mathematics at Hope College. He is a co-author of Precalculus: A Study of Functions and their Applications, Understanding Our Quantitative World and Projects for Precalculus, which was an INPUT Award winner. He has published articles in the Journal of Statistics Education, Statistics Education Research Journal, and Stats: The Magazine for Students of Statistics. He has presented at numerous national meetings, workshops, and mini-courses about innovative ways to teach mathematics and statistics that focus on guided-discovery methods and projects.

Jill L. Vanderstoep is Adjunct Assistant Professor of Mathematics at Hope College. She has participated in efforts to develop and implement randomization-based curricula at Hope College since 2005. She has presented on the curriculum and assessment results at national conferences and has co-led workshops on introducing and implementing the randomization-based curriculum. She has co-authored two articles looking at student learning differences between randomization-based curriculum and traditional curriculum. She has extensive experience in the evaluation of assessment data to drive curricular reform.