Teaching Statistics Using Baseball
DOWNLOAD
Download Teaching Statistics Using Baseball PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Teaching Statistics Using Baseball book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Teaching Statistics Using Baseball
DOWNLOAD
Author : Jim Albert
language : en
Publisher: American Mathematical Society
Release Date : 2022-02-04
Teaching Statistics Using Baseball written by Jim Albert and has been published by American Mathematical Society this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Mathematics categories.
Teaching Statistics Using Baseball is a collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports since players are identified and evaluated by their corresponding hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. Students often have difficulty learning statistics ideas since they are explained using examples that are foreign to the students. The idea of the book is to describe statistical thinking in a context (that is, baseball) that will be familiar and interesting to students. The book is organized using a same structure as most introductory statistics texts. There are chapters on the analysis on a single batch of data, followed with chapters on comparing batches of data and relationships. There are chapters on probability models and on statistical inference. The book can be used as the framework for a one-semester introductory statistics class focused on baseball or sports. This type of class has been taught at Bowling Green State University. It may be very suitable for a statistics class for students with sports-related majors, such as sports management or sports medicine. Alternately, the book can be used as a resource for instructors who wish to infuse their present course in probability or statistics with applications from baseball. The second edition of Teaching Statistics follows the same structure as the first edition, where the case studies and exercises have been replaced by modern players and teams, and the new types of baseball data from the PitchFX system and fangraphs.com are incorporated into the text.
Teaching Statistics Using Baseball 2nd Edition
DOWNLOAD
Author : James Albert
language : en
Publisher: The Mathematical Association of America
Release Date : 2017-02-28
Teaching Statistics Using Baseball 2nd Edition written by James Albert and has been published by The Mathematical Association of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-28 with Mathematics categories.
This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. The idea of the book is to describe statistical thinking in a context that will be familiar and interesting to students. The second edition of Teaching Statistics follows the same structure as the first edition, where the case studies and exercises have been replaced by modern players and teams, and the new types of baseball data from the PitchFX system and fangraphs.com are incorporated into the text.
Teaching Statistics Using Baseball
DOWNLOAD
Author : Jim Albert
language : en
Publisher:
Release Date : 2017
Teaching Statistics Using Baseball written by Jim Albert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Baseball categories.
A Guide To Teaching Statistics
DOWNLOAD
Author : Michael R. Hulsizer
language : en
Publisher: John Wiley & Sons
Release Date : 2009-01-30
A Guide To Teaching Statistics written by Michael R. Hulsizer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-30 with Psychology categories.
A Guide to Teaching Statistics: Innovations and BestPractices addresses the critical aspects of teaching statisticsto undergraduate students, acting as an invaluable tool for bothnovice and seasoned teachers of statistics. Guidance on textbook selection, syllabus construction, andcourse outline Classroom exercises, computer applications, and Internetresources designed to promote active learning Tips for incorporating real data into course content Recommendations on integrating ethics and diversity topics intostatistics education Strategies to assess student's statistical literacy, thinking,and reasoning skills Additional material online at ahref="http://www.teachstats.org/"www.teachstats.org/a
Baseball Hacks
DOWNLOAD
Author : Joseph Adler
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2006
Baseball Hacks written by Joseph Adler and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
This guide shows fantasy baseball fanatics--and those who love the game--how to get data, process it, and use it to truly understand baseball.
Analyzing Baseball Data With R Second Edition
DOWNLOAD
Author : Max Marchi
language : en
Publisher: CRC Press
Release Date : 2018-11-19
Analyzing Baseball Data With R Second Edition written by Max Marchi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Mathematics categories.
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.
Analyzing Baseball Data With R
DOWNLOAD
Author : Jim Albert
language : en
Publisher: CRC Press
Release Date : 2024-08-01
Analyzing Baseball Data With R written by Jim Albert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Mathematics categories.
“Our community has continued to grow exponentially, thanks to those who inspire the next generation. And inspiring the next generation is what the authors of Analyzing Baseball Data with R are doing. They are setting the career path for still thousands more. We all need some sort of kickstart to take that first or second step. You may be a beginner R coder, but you need access to baseball data. How do you access this data, how do you manipulate it, how do you analyze it? This is what this book does for you. But it does more, by doing what sabermetrics does best: it asks baseball questions. Throughout the book, baseball questions are asked, some straightforward, and others more thought-provoking.” From the Foreword by Tom Tango Analyzing Baseball Data with R Third Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available for download online. New to the third edition is the revised R code to make use of new functions made available through the tidyverse. The third edition introduces three chapters of new material, focusing on communicating results via presentations using the Quarto publishing system, web applications using the Shiny package, and working with large data files. An online version of this book is hosted at https://beanumber.github.io/abdwr3e/.
Analyzing Baseball Data With R
DOWNLOAD
Author :
language : en
Publisher: CRC Press
Release Date : 2018-01-17
Analyzing Baseball Data With R written by and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-17 with Mathematics categories.
With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online. This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.
Navigating The Doctoral Journey
DOWNLOAD
Author : Amanda J. Rockinson-Szapkiw
language : en
Publisher: Bloomsbury Publishing PLC
Release Date : 2014-06-11
Navigating The Doctoral Journey written by Amanda J. Rockinson-Szapkiw and has been published by Bloomsbury Publishing PLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-11 with Education categories.
This co-edited book provides doctoral candidates with a practical, cross-discipline handbook for successfully navigating the doctoral process – from initial program selection to the final dissertation defense and preparing for the faculty interview. Invited chapters from established higher education experts cover topics ranging from university and program selection, preparing for comprehensive exams and dissertation research, self-care and self-management strategies, and recommendations for maintaining personal and professional support systems. Each chapter includes strategies for success and practical tips, including how to create a study guide for the comprehensive examination, how to create a professional support group, how to talk to your family about the doctoral process, how to select and work with a chair and committee, how to identify an appropriate research design, how to navigate the IRB process, and how to master the research and writing process.
Literacy And Learning In The Content Areas
DOWNLOAD
Author : Sharon Kane
language : en
Publisher: Taylor & Francis
Release Date : 2017-07-05
Literacy And Learning In The Content Areas written by Sharon Kane and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-05 with Education categories.
The 3rd Edition of Literacy & Learning in the Content Areas helps readers build the knowledge, motivation, tools, and confidence they need as they integrate literacy into their middle and high school content area classrooms. Its unique approach to teaching content area literacy actively engages preservice and practicing teachers in reading and writing and the very activities that they will use to teach literacy to their own studentsin middle and high school classrooms . Rather than passively learning about strategies for incorporating content area literacy activities, readers get hands-on experience in such techniques as mapping/webbing, anticipation guides, booktalks, class websites, and journal writing and reflection. Readers also learn how to integrate children's and young adult literature, primary sources, biographies, essays, poetry, and online content, communities, and websites into their classrooms. Each chapter offers concrete teaching examples and practical suggestions to help make literacy relevant to students' content area learning. Author Sharon Kane demonstrates how relevant reading, writing, speaking, listening, and visual learning activities can improve learning in content area subjects and at the same time help readers meet national content knowledge standards and benchmarks.