This two-volume anthology uses engaging examples from the world of sports to introduce students to critical concepts in mathematics and statistics. Volume 2 contains key lessons in probability and odds, supplementary counting rules, discrete random variables, and continuous random variables as they pertain to football, hockey, NASCAR, bowling, and more. The text also includes lessons on sampling distribution, single sample inferences, and linear regression, offering data from golf, gymnastics, swimming, soccer, and more to fully illustrate and support the learned concepts. Each lesson includes Common Core Standards, a comprehensive teaching guide, printable practice problems, and solutions. Lessons for Teaching Concepts in Mathematics and Statistics Using Sports, Volume 2 is well-suited for undergraduate courses in mathematics, statistics, and education. The book may be used independently or as a companion text. It can also be used for middle school and high school statistics courses.

This two-volume anthology uses engaging examples from the world of sports to introduce students to critical concepts in mathematics and statistics. Volume I is organized into eleven sections, which use data from golf, long jump, soccer, hockey, NASCAR, and wrestling to help illustrate statistical reasoning and effective data analysis. Topics discussed include population and samples, graphical methods, measures of central tendency, and measures of variability. The text also covers relative standing, detecting outliers, basic probability, and normal distribution and rules, including Chebyshev's Rule and the Empirical Rule. Each lesson includes Common Core Standards, a comprehensive teaching guide, printable practice problems, and solutions. Lessons for Teaching Concepts in Mathematics and Statistics Using Sports, Volume 1 is well-suited for undergraduate courses in mathematics, statistics, and education. The book may be used independently or as a companion text. It can also be used for middle school and high school statistics courses. Heather Ervin earned her B.S. in mathematics from Bloomsburg University, her M.S. in statistics from Lehigh University, and her Ph.D. in mathematics education from Pennsylvania State University. She is an assistant professor of mathematics at Bloomsburg University. Her research interests include preservice elementary and middle school teachers' understanding and knowledge of fraction models, mathematics preparation of high school students for collegiate mathematics, and teaching statistics through sports. Reza Noubary earned his B.Sc. and M.Sc. degrees in mathematics from Tehran University, and his M.Sc. and Ph.D. in statistics from Manchester University. He is a professor of mathematics at Bloomsburg University. His research interests include time series analysis, geostatistics, reliability, risk analysis, and applications of mathematics in sports.

A sixth grade mathematics curriculum with connections to other subject areas; chapters of student edition have same titles as teacher guide volumes.

'We can never be sure that there is not some wild, untamed piece of mathematics ready to spring out on us ... This is what keeps mathematics enchanting.' This is how Jim Neyland, one of the contributing authors to this book, describes mathematics. His enthusiasm and energy are echoed throughout by many of the other writers. This is a book to delight mathematics teachers at all stages: experienced and inexperienced; specialists and nonspecialists. The authors bring research and practice together to inform, stimulate, and challenge the mathematical thinking of classroom teachers and to encourage them, and give them confidence, to extend their teaching practice. Topics covered in this second volume of Teaching Secondary School Mathematics and Statistics include: promoting thinking; culturally responsive teaching; students, teachers, and classroom talk; developing analytical thinking; developing statistical thinking; students' intuitions about probability; developing pedagogical technology knowledge; becoming a teacher; and more. The book is structured to give opportunities for thinking beyond the text through the inclusion of focus questions and points to ponder in each chapter. There are also many practical ideas which are ready for use in the classroom. It is a valuable resource for those working in preservice, a marvellous toolkit for new graduates, and it has a place in every mathematics department's bookshelf.

Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'-- with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science.