Lessons for Teaching Concepts in Mathematics and Statistics Using Sports, Volume 1 (in English)
Synopsis "Lessons for Teaching Concepts in Mathematics and Statistics Using Sports, Volume 1 (in English)"
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.
