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Author: Andrew Wiesner Publisher: Cognella Academic Publishing ISBN: 9781609272890 Category : Languages : en Pages : 230
Book Description
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.
Author: Andrew Wiesner Publisher: Cognella Academic Publishing ISBN: 9781609272890 Category : Languages : en Pages : 230
Book Description
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.
Author: Josh Tabor Publisher: Macmillan ISBN: 1429274379 Category : Juvenile Nonfiction Languages : en Pages : 709
Book Description
Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports features engaging examples and a student-friendly approach. Starting from the very first chapter, students are able to ask questions, collect and analyze data, and draw conclusions using randomization tests. Is it harder to shoot free throws with distractions? We explore this question by designing an experiment, collecting the data, and using a hands-on simulation to analyze results. Completely covering the Common Core Standards for Probability and Statistics, Statistical Reasoning in Sports is an accessible and fun way to learn about statistics!
Author: Tricia Muldoon Brown Publisher: Oxford University Press ISBN: 0192572660 Category : Mathematics Languages : en Pages : 144
Book Description
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.
Author: Barbara Illowsky Publisher: ISBN: 9781998295470 Category : Business & Economics Languages : en Pages : 0
Book Description
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.
Author: Peter Dalgaard Publisher: Springer Science & Business Media ISBN: 0387790543 Category : Mathematics Languages : en Pages : 364
Book Description
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.
Author: Jim Albert Publisher: CRC Press ISBN: 9781584888697 Category : Mathematics Languages : en Pages : 298
Book Description
Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and best defined the winning edge. However, they may not have always counted the right numbers. Many of our hallowed beliefs about sports statistics have long been fraught with misnomers. Whether it concerns Scottish football or American baseball, the most revered statistics often have little to do with any winning edge. Covering an international collection of sports, Statistical Thinking in Sports provides an accessible survey of current research in statistics and sports, written by experts from a variety of arenas. Rather than rely on casual observation, they apply the rigorous tools of statistics to re-examine many of those concepts that have gone from belief to fact, based mostly on the repetition of their claims. Leaving assumption behind, these researchers take on a host of tough questions- Is a tennis player only as good as his or her first serve? Is there such a thing as home field advantage? Do concerns over a decline in soccer's competitive balance have any merit? What of momentum-is its staying power any greater than yesterday's win? And what of pressure performers? Are there such creatures or ultimately, does every performer fall back to his or her established normative? Investigating a wide range of international team and individual sports, the book considers the ability to make predictions, define trends, and measure any number of influences. It is full of interesting and useful examples for those teaching introductory statistics. Although the articles are aimed at general readers, the serious researcher in sports statistics will also find the articles of value and highly useful as starting points for further research.
Author: Peter C. Bruce Publisher: John Wiley & Sons ISBN: 1118881338 Category : Mathematics Languages : en Pages : 320
Book Description
Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes: Over 300 “Try It Yourself” exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical concepts Numerous interactive links designed to provide solutions to exercises and further information on crucial concepts Linkages that connect statistics to the rapidly growing field of data science Multiple discussions of various software systems, such as Microsoft Office Excel®, StatCrunch, and R, to develop and analyze data Areas of concern and/or contrasting points-of-view indicated through the use of “Caution” icons Introductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.
Author: John Newell Publisher: Routledge ISBN: 1317904192 Category : Sports & Recreation Languages : en Pages : 440
Book Description
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.
Author: Stephen Kokoska Publisher: Macmillan ISBN: 9780716757627 Category : Mathematics Languages : en Pages : 1012
Book Description
Written to appeal to students and instructors who appreciate statistics for its precision and logic, Introductory Statistics: A Problem-Solving Approach helps students learn statistical concepts by using a stepped problem-solving approach. After completing an introductory statistics course with this textbook, students should understand the process of basic statistical arguments. They should grasp the importance of assumptions and be able to follow valid arguments or identify inaccurate conclusions. Most importantly, they should understand the process of statistical inference. The philosophy of this text is simple: statistics is often hard for students, and in order to understand concepts, the material must be presented in an orderly, precise, friendly manner. It must be easy to read and follow, and there must be numerous examples and exercises. The text aims to be easy-to-read, down-to-earth, systematic, and methodical. Each new idea builds upon concepts presented earlier. A touch of humor is important, especially for many students who are afraid of, and even dislike, mathematics and statistics.
Author: Andrew Wiesner
Author: Andrew Wiesner
Author: Josh Tabor
Author: Tricia Muldoon Brown
Author: Barbara Illowsky
Author: Peter Dalgaard
Author: Stephen Kokoska
Author: Jim Albert
Author: Peter C. Bruce
Author: John Newell
Author: Stephen Kokoska