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Layth Alwan

Layth C. Alwan in Associate Professor of Business Statistics and Operations Management, Sheldon B. Lubar School of Business, University of Wisconsin–Milwaukee. He received a B.A. in mathematics, B.S. in statistics, M.B.A., and PhD in business statistics/operations management, all from the University of Chicago, and an M.S. in computer science from DePaul University. Professor Alwan is an author of many research articles related to statistical process control and business forecasting. He has consulted for many leading companies on statistical issues related to quality, forecasting, and operations/supply chain management applications. On the teaching front, he is focused on engaging and motivating business students on how statistical thinking and data analysis methods have practical importance in business. He is the recipient of several teaching awards, including Business School Teacher of the Year and Executive M.B.A. Outstanding Teacher of the Year.

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Brigitte Baldi

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Ann R. Cannon

Ann R. Cannon has been a faculty member at Cornell College since 1993. She is currently Professor of Statistics in the Department of Mathematics and Statistics. She has served terms as at-large member of the executive committee for the Stat-Ed section as well as Council of Sections rep for Stat-Ed and as Treasurer (8 years) and President (1 year) for the Iowa Chapter of the ASA. She was Associate editor for JSE from 2000 to 2009 and was moderator for Isostat from 2003 to 2007. She has been an AP reader, table leader, and question leader. In her spare time, she plays the French horn with local community summer band, the Cornell College orchestra and occasionally with the Iowa City String Orchestra when they do pieces that require wind instruments. She is also handbell player. She is married and mother to two boys.

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George W. Cobb

George Cobb is Robert l. Rooke Professor emeritus at Mount Holyoke College, where he taught from 1974 to 2009 after earning his PhD in statistics from Harvard University.  He is a Fellow of the American Statistical Association, served a term as ASA vice-president, and received the ASA Founder’s award.  He is also recipient of the of the Lifetime Achievement award of the US Conference on Teaching Statistics.  He is author or co-author of several books, including Introduction to Design and Analysis of Experiments and Statistics in Action.  His interests include Markov chain Monte Carlo, applications of statistics to the law, and bluegrass banjo.

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Bruce Craig

Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University. He received his B.S. in mathematics and economics from Washington University in St. Louis and his PhD in statistics from the University of Wisconsin–Madison. He is an active member of the American Statistical Association and was chair of its section on Statistical Consulting in 2009. He also is an active member of the Eastern North American Region of the International Biometrics Society and aws elected by the voting membership to the Regional Committee from 2003 to 2006. Professor Craig has served on the editorial board of several statistical journals and has been a member of several data and safety monitoring boards, including Purdue's IRB. Professor Craig's research interests focus on the development of novel statistical methodology to address research questions in the life sciences. Areas of current interest are protein structure determination, diagnostic testing, and animal abundance estimation. In 2005, he was named Purdue University Faculty Scholar.

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William M. Duckworth

William M. Duckworth specializes in statistics education, business applications of statistics, and design of experiments. He holds a B.S. and an M.S. from Miami University (Ohio) in mathematics and statistics and a PhD in statistics from the University of North Carolina at Chapel Hill. His professional affiliations include the American Statistical Association (ASA), the International Association for Statistical Education (IASE), and the Decision Sciences Institute (DSI). He currently serves on the editorial board of the Journal of Statistics Education and has served as the ASA Editor for Statistics Education Web Content. Professor Duckworth was also a member of the Undergraduate Statistics Education Initiative (USEI), which developed curriculum guidelines for undergraduate programs in statistical science that were officially adopted by the ASA. Professor Duckworth has published research papers and been invited to speak at professional meetings and at company training workshops. During his tenure in the Statistics Department at Iowa State University, his main responsibility was coordinating, teaching, and improving introductory business statistics courses for over one thousand business students a year. He received the Iowa State University Foundation Award for Early Achievement in Teaching, based in part on his improvements to introductory business statistics. Professor Duckworth now teaches business statistics in the College of Business Administration at Creighton University.

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Michael J. Evans

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Michael A. Fligner

Michael A. Fligner is Professor Emeritus at the Ohio State University. He received his B.S. in mathematics from the State University of New York at Stony
Brook and his Ph.D. from the University of Connecticut. He has spent his entire professional career at the Ohio State University where he was Vice Chair of the
Department for over 10 years and also served as Director of the Statistical Consulting Service. He has done consulting work with several large corporations in Central Ohio.
Professor Fligner's research interests are in Nonparametric Statistical methods and he received the Statistics in Chemistry award from the American Statistical Association for work on detecting biologically active compounds. He is co-author of the book Statistical Methods for Behavioral Ecology and received a Fulbright scholarship under the American Republics Research program to work at the Charles Darwin Research Station in the Galapagos Islands. He has been an Associate Editor of the Journal of Statistical Education.

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Chris Franklin

Chris Franklin is a Senior Lecturer and Undergraduate Coordinator in Statistics at the University of Georgia and Lothar Tresp Honoratus Honors Professor (recognized as the UGA Outstanding Honors Professor 5 different years). She has been a recipient of the UGA’s Arts and Sciences Outstanding Faculty Academic Advisor Award and UGA’s Arts and Sciences Sandy Beaver Outstanding Teacher Award. In 2008, Chris was inducted into the UGA Teaching Academy.

She is the co-author of an Introductory Statistics textbook with Alan Agresti (Pearson 2012) and has published more than 50 journal articles. Chris was the lead writer for the American Statistical Association Pre-K-12 Guidelines for the Assessment and Instruction in Statistics Education (GAISE) Framework. She is a sought-after speaker on statistics education at the Pre K-12 and undergraduate levels. 

Chris is a Fellow of the American Statistical Association and has served many years at the national and state level working in statistics education which includes the development and writing of standards in statistics for K-12. She completed her term serving as the AP Statistics Chief Reader in July 2009. Chris was honored in 2006 with the Mu Sigma Rho National Statistical Education Award for her teaching and lifetime devotion to statistics education.

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Bradley A. Hartlaub

Brad Hartlaub joined the Kenyon faculty in 1990. He is a nonparametric statistician, and his research deals with rank-based tests for detecting interaction. He has published research articles on count or rank based statistical methods in the Journal of Nonparametric Statistics, The Canadian Journal of Statistics, and Environmental and Ecological Statistics. He has served as the Chief Reader of the AP Statistics Program and is an active member of the American Statistical Association's Section on Statistical Education. Brad was selected as a Fellow of the American Statistical Association in 2006. He has served the College as Chair of the Mathematics Department, Chair of the Division of Natural Sciences, a member of the Self Study Committee, and a member of the Committee on Academic Standards. He has received research grants to support his work with undergraduate students from the Andrew W. Mellon Foundation and the Council on Undergraduate Research. His current project is a collaborative effort with students and faculty members in the departments of biology and mathematics and deals with modeling metabolic rates for Manduca sexta.

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Thomas Heinzen

Tom Heinzen was a 29 year-old college freshman, began graduate school when their fourth daughter was one week old, and is still amazed that he and Donna somehow managed to stay married. A magna cum laude graduate of Rockford College, he earned his Ph.D. in social psychology at the State University of New York at Albany in just three years. He published his first book on frustration and creativity in government two years later, was a research associate in public policy until he was fired over the shape of a graph, consulted for the Johns Hopkins Center for Talented Youth, and then began a teaching career at William Paterson State University of New Jersey. He founded the psychology club, established an undergraduate research conference, and has been awarded various teaching honors while continuing to write journal articles, books, plays, and two novels that support the teaching of general psychology and statistics.  He is also the editor of Many Things to Tell You, a volume of poetry by elderly writers.  Tom's wife Donna is a physician assistant who has also volunteered her time in relief work following Hurricane Mitch and Hurricane Katrina. Their daughters are now scattered from Bangladesh to Mississippi to New Jersey and work in public health, teaching, and medicine. He is a mediocre French horn player, an enthusiastic but mediocre tennis player, and an ardent baseball fan (Go Cubs!).

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Stephen Kokoska

Stephen Kokoska is a Professor of Mathematics at Bloomsburg University, where he has been teaching for 20 years. He received his undergraduate degree from Boston College and his M.S. and PhD from the University of New Hampshire. His initial research interestes included the statistical analysis of cancer chemoprevention experiments. Stephen has published a number of research papers in mathematics journals, including Biometrics, Anticancer Research, and Computer Methods and Programs in Biomedicine; presented results at national conferences; and written several books. He has been awarded grants from the National Science Foundation, the Center for Rural Pennsylvania, and the Ben Franklin Program. Stephen is also a longtime consultant for the College Board, is an Exam Leader for the grading of the Advanced Placement Calculus test, and has been involved with calculus reform and the use of technology in the classroom. In addition to teaching at Bloomsburg, he regularly uses Mathematica and LaTeX and has recently become involved with cell phone and GPS forensics.

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Daniel T. Larose

Since his days of collecting baseball cards as a youngster, Dan Larose has felt a lifelong passion for statistics. He completed his PhD in statistics from the University of Connecticut in Storrs in 1996. Today, Larose is Professor of Statistics in the Department of Mathematical Sciences at Central Connecticut State University. There, he designed, developed, and directs the world’s first online Master of Science degree in data mining. He has published three books on data mining, and is a consultant in statistics and data mining. His fondest wish is to impart a love of statistics to a new generation. Larose lives in Tolland, Connecticut, with his wife Debra, daughters Chantal and Ravel, and son, Tristan.

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Julie M. Legler

Julie Legler earned a BA and MS in Statistics from the University of Minnesota and later a doctorate in biostatistics from Harvard.  She has taught statistics at the undergraduate level for nearly 20 years. In addition, she spent 7 years at the National Institutes of Health,  first as a postdoc and then as a mathematical statistician at the National Cancer Institute.  She has published in the areas of latent variable modeling, surveillance modeling, and undergraduate research.  Currently she is professor of statistics and director of the Statistics Program at St. Olaf College.  Recently she was named the Director of Collaborative Undergraduate Research and Inquiry  at St. Olaf.

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Robin H. Lock

Robin H. Lock is the Jack and Sylvia Burry Professor of Statistics at St. Lawrence University where he has taught since 1983 after receiving his PhD from the University of Massachusetts- Amherst. He is a Fellow of the American Statistical Association, past Chair of the Joint MAA-ASA Committee on Teaching Statistics, a member of the committee that developed GAISE (Guidelines for Assessment and Instruction in Statistics Education), and on the editorial board of CAUSE (the Consortium for the Advancement of Undergraduate Statistics Education). He has won the national Mu Sigma Rho Statistics Education award and numerous awards for presentations on statistics education at national conferences.

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