A Sports Oriented Approach To Introductory Statistics

No one can deny the obvious link between statistics and sports, and many a sports fan can reel off a lengthy list of statistics about a favorite team or player. The anthology "A Sports-Oriented Approach to Introductory Statistic"s cleverly combines the study of statistics with the high interest area of sports to create a text that delivers an engaging and effective introduction to statistical principles. The first several chapters of the book are the statistical and mathematical offensive linemen, often overlooked and under-appreciated, but necessary for gaining a firm understanding of theory and statistics. This prepares students for the principles covered in subsequent chapters. These later chapters are the skill players of the text, and through them students learn things like how to predict points in the NHL, determine if there is a home field advantage in football, and compare MLB teams to find out if statistically any one team has been the worst over the past ten years. Each example in the book uses real data from the sports world. The central limit theorem is explained by examining salary data from major league baseball. Understanding probability distribution of a discrete random variable is illustrated through the number of goals scored in the World Cup. Regression analysis is explored through evaluating team performance. Each chapter of the text includes examples, accompanied by complete, step-by-step solutions. All problems require students to produce extended, well-thought-out answers using the target principles. Symbols and formulas used within chapters are organized at the end of the chapters for easy reference. This unique approach increases student interest, and delivers important content in a relatable, likeable format. "A Sports-Oriented Approach to Introductory Statistics" is written for courses in elementary, undergraduate statistics, and is an ideal supplement to standard required texts. The text can also be used as a supplemental text in many math and business courses grounded in statistics. Andrew Wiesner earned his Ph.D. at the University of Pittsburgh. Currently he is a Lecturer of Statistics at Pennsylvania State University. Dr. Wiesner has been teaching statistics for more than ten years. He successfully combined his passion for education with a life-long love of sports, and supervised several undergraduate Honors theses in which students analyze sports data.

Sport is a wildly popular and accessible pastime that most students find interest in. The link between mathematics and sports - particularly between statistics and sports - is well known, but is rarely used as a method for sparking a real interest and better understanding of mathematics at university level. Introductory Mathematics and Statistics through Sports develops this connection, and uses sport as a tool to help students get to grips with mathematics and statistics. It contains valuable resources, such as activities and writing projects for use in quantitative reasoning or introductory statistics classrooms. These inquiry-based activities and open-ended writing projects are all set in the authentic framework of a sporting environment and are designed to promote critical thinking and mathematical application skills that students can apply outside of the classroom. All activities and projects have been classroom-tested and are ready to be implemented as they are, or can be easily personalized by instructors with a helpful run-down of successes and misunderstandings for each project. Introductory Mathematics and Statistics through Sports places great emphasis on the communication, application, and internalization of mathematics for students whose primary interests are not necessarily in STEM fields.

Book Publication Date: Dec 13, 2023. Full color. Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills.

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

Did Cam Newton choke in the Super Bowl? Can a swimsuit make you faster? Who should I draft for my fantasy baseball team? Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports 2e make statistics exciting with high interest sports (and life) examples that show how statistics is a part of everyday life. Statistical Reasoning in Sports 2e examines fascinating questions about sports and life by investigating the underlying statistical questions and creating a fun atmosphere in the classroom in which students analyze data, perform simulations, and draw conclusions to develop an understanding of statistics.

Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning. To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website. This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics. Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud. Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools

Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.

The unlikely worlds of sports fans and statisticians collide in this interesting and accessible collection of previously published articles on the use of statistics to analyze sports, which the editors have thoughtfully culled from a variety of American Statistical Association (ASA) publications. Heavily weighted in the areas of competition (rating players and teams, evaluating strategies for victory), the articles vary in mathematical complexity, but most will be accessible to readers with a general knowledge of statistics. Newly written material from the editors and other notable contributors introduces each section of the book, and a chapter with suggestions on using the articles in the classroom is included. Organized by sport to make it easy for readers to find the papers in their particular areas of interest, Anthology of Statistics in Sports contains separate sections devoted to the major North American team sports of baseball, football, basketball, and ice hockey. Two additional sections cover miscellaneous sports and more general issues related to sports and statistics. This book grew from the efforts of members of the ASA Section on Statistics in Sports, which is dedicated to promoting high professional standards in the application of statistics to sports and fostering statistical education in sports.