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Publications in Statistics Education

Participants in the Guidelines for the Assessment and Instruction in Statistics Education (GAISE) project created two reports of recommendations for introductory statistics courses (college level) and statistics education in Pre-K–12 years.

Statistics Teacher Network is a newsletter published three times a year by the American Statistical Association/National Council of Teachers of Mathematics Joint Committee on Curriculum in Statistics and Probability for Grades K–12.

Bridging the Gap Between Common Core State Standards and Teaching Statistics includes 20 data analysis and probability investigations written as guides for teachers to implement straightforwardly in their K-8 classrooms. Each investigation is based on the four-step statistical process as defined by the Guidelines for Assessment and Instruction in Statistics Education (GAISE).

The Making Sense of Statistical Studies Student Module consists of 15 hands-on investigations that provide students with valuable experience in designing and analyzing statistical studies. It is written for an upper middle-school or high-school audience having some background in exploratory data analysis and basic probability. The Teacher's Module includes supporting resources to help teachers use MSSS effectively in their classrooms, as well as all the pages from the Student Module.

CHANCE is a magazine jointly published by the American Statistical Association and Springer about statistics and the use of statistics in society. It is intended for anyone who has an interest in the analysis of data. CHANCE features articles that showcase the use of statistical methods and ideas in the social, biological, physical, and medical sciences. It also presents material about statistical computing and graphical presentation of data.

Journal of Statistics Education is an international journal on the teaching and learning of statistics

Teaching Statistics: Resources for Undergraduate Instructors presents a collection of classic and original articles about various aspects of statistical education, along with descriptions of innovative and successful projects. It strives to be an instructor’s manual for this reform movement and will be essential reading for anyone at the undergraduate or secondary level who teaches statistics, especially for those new to teaching statistics.

The Quantitative Literacy Series is a four-part series of books written through a collaborative effort of teachers and statisticians. It is designed for use with middle- and high-school students. The books are a part of an ASA project, Quantitative Literacy, which was funded in part by the National Science Foundation. Though out of print, the books listed below are available through book resale sites.

Exploring Data, by Landwehr and Watkins
Exploring Probability, by Newman, Obremski, and Scheaffer
The Art and Techniques of Simulation, by Gnanadesikan, Scheaffer, and Swift
Exploring Surveys: Information from Samples, by Landwehr, Swift, and Watkins


The Elementary Quantitative Literacy (EQL) Series is a two-part series of books planned and written by a team of experienced elementary school teachers and statisticians with the goal of introducing the key ideas and lessons in data analysis and probability in the K–6 mathematics curriculum. Though out of print, the books listed below are available through book resale sites.

Exploring Statistics in the Elementary Grades, Book One
Exploring Statistics in the Elementary Grades, Book Two

Data-Driven Mathematics is a series of modules funded by the National Science Foundation and written by statisticians and mathematics teachers. Intended to complement a modern mathematics curriculum in the secondary schools, the modules offer materials that integrate data analysis with topics typically taught in high-school mathematics courses and provide realistic, real-world data situations for developing mathematical knowledge. The copyrights have been transferred from the original publisher to ASA. Scanned copies of these books are freely available to download through the following links:

Advanced Modeling and Matrices - Teacher's Edition, by Burrill, Burrill, Landwehr, and Witmer

Advanced Modeling and Matrices, by Burrill, Burrill, Landwehr, and Witmer

Exploring Centers - Teacher's Edition, by Kranendonk and Witmer

Exploring Centers, by Kranendonk and Witmer

Exploring Linear Relations - Teacher's Edition, by Burrill and Hopfensperger

Exploring Linear Relations, by Burrill and Hopfensperger

Exploring Projects - Teacher's Edition, by Errthum, Mastromatteo, O'Connor, and Scheaffer

Exploring Projects, by Errthum, Mastromatteo, O'Connor, and Scheaffer

Exploring Regression - Teacher's Edition, by Burrill, Burrill, Hopfensperger, and Landwehr

Exploring Regression, by Burrill, Burrill, Hopfensperger, and Landwehr

Exploring Symbols - Teacher's Edition, by Burrill, Clifford, and Scheaffer

Exploring Symbols, by Burrill, Clifford, and Scheaffer

Exploring Systems of Inequalities - Teacher's Edition, by Burrill and Hopfensperger

Exploring Systems of Inequalities, by Burrill and Hopfensperger

Mathematics in a World of Data - Teacher's Edition, by Burrill, Clifford, Errthum, Kranendonk, Mastromatteo, and O'Connor

Mathematics in a World of Data, by Burrill, Clifford, Errthum, Kranendonk, Mastromatteo, and O'Connor

Modeling with Logarithms - Teacher's Edition, by Burrill, Clifford, and Landwehr

Modeling with Logarithms, by Burrill, Clifford, and Landwehr

Probability Models - Teacher's Edition, by Hopfensperger, Kranendonk, and Scheaffer

Probability Models, by Hopfensperger, Kranendonk, and Scheaffer

Probability Through Data - Teacher's Edition, by Hopfensperger, Kranendonk, and Scheaffer

Probability Through Data, by Hopfensperger, Kranendonk, and Scheaffer

Statistics: A Guide To The Unknown offers a collection of intriguing essays that describe the important applications of statistics and probability. Instead of teaching methods, the essays illustrate past accomplishments and current uses of statistics and probability. Examples of surveys, questionnaires, experiments, and observational studies help you better understand the importance of and the influence of statistics.

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