For over a decade, our team has been working to bring widely available resources to both faculty and students with a vision of improving the teaching and learning of statistics at secondary and post-secondary levels so that we all can make better decisions using data. At the heart of our conceptual focus is learning about the entire statistical investigation process from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. Pedagogically we focus on genuine research studies, active learning, and effective use of technology. Foundational to our approach are the uses of simulation and randomization tests to introduce students to statistical inference and data visualization to explore multivariable datasets. These approaches yield strong conceptual foundations that bridge students to theory-based and traditional modelling approaches.

Through generous NSF support throughout the years, we have been fortunate to develop a wealth of free resources including award winning books and free applets, additional free student facing activities, many dozens of workshops, peer-reviewed publications, and numerous other student- and instructor-facing resources.

RUTH CARVER teachers AP Statistics at Germantown Academy in Fort Washington, PA, where she served as chairperson of the mathematics department from 1996 to 2014 and was the first recipient of the Claire and Jeffrey Black Endowed Chair for Excellence in the Teaching of Mathematics (2013-2016). She has been involved with the Advanced Placement Statistics program as a reader and table leader, and serve on the AP Statistics Test Development Committee from 2008 to 2012. She is recipient of the Siemens Foundation AP Teacher Award, the Presidential Award for Excellence in Mathematics and Science Teaching, the National Education and Technology Alliance STAR Award and “Best of the Best” Award, the Teachers Teaching with Technology Demana/Waits Vision Award, and the Tandy Technology Prize for Teaching Excellence in Mathematics, Science, and Computer Science.

BETH CHANCE is Professor of Statistics at California Polytechnic State University. She is co-author with Allan Rossman of the Workshop Statistics series and Investigating Statistical Concepts, Applications, and Methods. 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 and the 2020 Distinguished Teaching Career Waller Award. 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.

KAREN MCGAUGHEY is Professor of Statistics at California Polytechnic State University. She has participated in efforts to develop and implement simulation-based curricula at Cal Poly since 2011. She has presented on the use of simulation-based curriculum and multivariable thinking at national and international conferences and has co-led workshops on the use of simulation-based instruction and multivariable thinking. She has been involved with the Advanced Placement Statistics program for many years and is currently serving on the Test Development Committee. She has an active research program consulting and co-authoring papers from a wide variety of disciplines including Communications, Biology, Mechanical Engineering, and Kinesiology.

ALLAN J. ROSSMAN is Professor of Statistics at California Polytechnic State 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 Statistics 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 2019 and the American Statistical Association’s Waller Distinguished Teaching Career Award in 2016. He started the Ask Good Questions blog in 2019.

SOMA ROY is Professor of Statistics at California Polytechnic State University. She has presented talks related to the randomization-based curriculum and student learning at national meetings. She has written and reviewed assessment tasks for the Illustrative Mathematics Project, an initiative to support adoption of the K-12 core standards for statistics. She has been serving as a reader for Advanced Placement exams in Statistics since June 2012. She co-leads, with her colleagues at Cal Poly and collaborators at other institutions, teacher-preparation workshops for college Statistics teachers as well as AP Statistics teachers. She also has an active research program in health statistics involving undergraduates. She is the past editor (2016-2018) for the Journal of Statistics Education and Past-Chair of Mathematical Association of America’s Special Interest Group on Statistics Education.

TODD SWANSON is an Associate Professor of Mathematics and Statistics at Hope College. He is a co-author of A Spiral Approach to Financial Mathematics, Precalculus: A Study of Functions and their Applications, Understanding our Quantitative World, Projects for Precalculus, which was an INPUT Award winner, and Introduction to Statistical Investigations, which was a Most Promising New Textbook Award winner as well as the Daniel Solow Author’s Award winner. He has published articles in Mathematics Teacher, 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.

NATHAN L .TINTLE is a Professor of Statistics at Dordt University. He has led efforts to develop and institutionalize simulation-based inference curricula at two institutions (Hope College 2005–2011; Dordt 2011-present), directs the undergraduate and graduate programs in Statistics at Dordt and currently leads the curriculum development project. He has been an invited panelist for a number of statistics education sessions at national meetings, served on 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, the 2017 Robert V. Hogg Award for Excellence in Teaching Introductory Statistics, and served as a member of a national advisory committee to the ASA President on training the next-generation of statisticians. He has co-authored multiple articles on student learning using the simulation-based inference curriculum, two of which have won awards for best paper of the year from the Journal of Statistics Education (2011 and 2018).

JILL L .VANDERSTOEP is an Assistant Professor of Mathematics & Statistics at Hope College. She has participated in efforts to develop and implement simulation-based curricula at Hope College since 2005. She is a co-author of Introduction to Statistical Investigations, which won the Most Promising New Textbook Award in 2017 and the Daniel Solow’s Author Award in 2018. She has presented on the simulation-based curriculum and assessment results from users of the curriculum at national and international conferences. She has co-led numerous workshops that introduce the simulation-based curriculum and provide workshop participants tools to implement the curriculum in introductory statistics, AP statistics, and intermediate statistics courses. She has co-authored articles published in the Journal of Statistics Education, Statistics Education Research Journal, and The American Statistician.