Spectacular Sports: Baseball: Statistical Questions and Measures ebook PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Spectacular Sports: Baseball: Statistical Questions and Measures ebook PDF full book. Access full book title Spectacular Sports: Baseball: Statistical Questions and Measures ebook by Marissa Hernandez. Download full books in PDF and EPUB format.
Author: Marissa Hernandez
Publisher: Teacher Created Materials
ISBN: 1425855377
Category : Juvenile Nonfiction
Languages : en
Pages : 35
Get Book Here
Book Description
Talking baseball can seem like speaking a different language. Hitters want to increase their BA, OPS, and SLG while pitchers want to decrease their ERA. Whats behind all these acronyms? Statistics! Learn statistics while reading about baseball, the sport of numbers. Packed with factual information and high-interest content, this nonfiction math book uses real-world examples of problem solving to build students' math and reading skills. Let's Explore Math sidebars feature math questions that challenge students to develop their math skills. A problem-solving section at the end of the book prompts students to reflect and apply what they've learned. Demystify math with this leveled book that makes learning math fun and accessible for kids ages 10-12 and appeals to reluctant readers.
Author: Marissa Hernandez
Publisher: Teacher Created Materials
ISBN: 1425855377
Category : Juvenile Nonfiction
Languages : en
Pages : 35
Get Book Here
Book Description
Talking baseball can seem like speaking a different language. Hitters want to increase their BA, OPS, and SLG while pitchers want to decrease their ERA. Whats behind all these acronyms? Statistics! Learn statistics while reading about baseball, the sport of numbers. Packed with factual information and high-interest content, this nonfiction math book uses real-world examples of problem solving to build students' math and reading skills. Let's Explore Math sidebars feature math questions that challenge students to develop their math skills. A problem-solving section at the end of the book prompts students to reflect and apply what they've learned. Demystify math with this leveled book that makes learning math fun and accessible for kids ages 10-12 and appeals to reluctant readers.
Author: Marissa Hernandez
Publisher: Teacher Created Materials
ISBN: 142585916X
Category :
Languages : en
Pages : 35
Get Book Here
Book Description
Talking baseball can seem like speaking a different language. Hitters strive to increase their BA, OPS, and SLG while pitchers work to decrease their ERA. Whats behind all these acronyms? Statistics! Learn statistics while reading about baseball, the sport of numbers. This math reader integrates math and literacy skills, combining problem solving and real-world connections to help sixth grade students explore mathematics in a meaningful way. Let's Explore Math sidebars and a Problem Solving section provide multiple opportunities for students to practice what they have learned; The DOK-leveled Math Talk section provides rich tasks that facilitate mathematical discourse and promote reasoning and higher-order thinking; Advanced text features develop academic vocabulary and critical literacy skills. This 6-Pack includes six copies of this title and a content-area focused lesson plan.
Author: Josh Tabor
Publisher: Macmillan
ISBN: 1429274379
Category : Juvenile Nonfiction
Languages : en
Pages : 709
Get Book Here
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: Gabriel B. Costa
Publisher: McFarland
ISBN: 1476667667
Category : Sports & Recreation
Languages : en
Pages : 221
Get Book Here
Book Description
Interest in Sabermetrics has increased dramatically in recent years as the need to better compare baseball players has intensified among managers, agents and fans, and even other players. The authors explain how traditional measures--such as Earned Run Average, Slugging Percentage, and Fielding Percentage--along with new statistics--Wins Above Average, Fielding Independent Pitching, Wins Above Replacement, the Equivalence Coefficient and others--define the value of players. Actual player statistics are used in developing models, while examples and exercises are provided in each chapter. This book serves as a guide for both beginners and those who wish to be successful in fantasy leagues.
Author: Barbara Illowsky
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 2106
Get Book Here
Book Description
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 is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Charles Wheelan
Publisher: W. W. Norton & Company
ISBN: 0393089827
Category : Mathematics
Languages : en
Pages : 307
Get Book Here
Book Description
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Author: David M Lane
Publisher:
ISBN: 9781687894250
Category :
Languages : en
Pages : 406
Get Book Here
Book Description
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
Author: Jim Albert
Publisher: CRC Press
ISBN: 1351030132
Category : Mathematics
Languages : en
Pages : 553
Get Book Here
Book Description
Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
Author: Thomas A. Severini
Publisher: CRC Press
ISBN: 1000050947
Category : Mathematics
Languages : en
Pages : 362
Get Book Here
Book Description
One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author’s website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study
Author: Keith Law
Publisher: HarperCollins
ISBN: 0062490257
Category : Sports & Recreation
Languages : en
Pages : 363
Get Book Here
Book Description
Predictably Irrational meets Moneyball in ESPN veteran writer and statistical analyst Keith Law’s iconoclastic look at the numbers game of baseball, proving why some of the most trusted stats are surprisingly wrong, explaining what numbers actually work, and exploring what the rise of Big Data means for the future of the sport. For decades, statistics such as batting average, saves recorded, and pitching won-lost records have been used to measure individual players’ and teams’ potential and success. But in the past fifteen years, a revolutionary new standard of measurement—sabermetrics—has been embraced by front offices in Major League Baseball and among fantasy baseball enthusiasts. But while sabermetrics is recognized as being smarter and more accurate, traditionalists, including journalists, fans, and managers, stubbornly believe that the "old" way—a combination of outdated numbers and "gut" instinct—is still the best way. Baseball, they argue, should be run by people, not by numbers.? In this informative and provocative book, teh renowned ESPN analyst and senior baseball writer demolishes a century’s worth of accepted wisdom, making the definitive case against the long-established view. Armed with concrete examples from different eras of baseball history, logic, a little math, and lively commentary, he shows how the allegiance to these numbers—dating back to the beginning of the professional game—is firmly rooted not in accuracy or success, but in baseball’s irrational adherence to tradition. While Law gores sacred cows, from clutch performers to RBIs to the infamous save rule, he also demystifies sabermetrics, explaining what these "new" numbers really are and why they’re vital. He also considers the game’s future, examining how teams are using Data—from PhDs to sophisticated statistical databases—to build future rosters; changes that will transform baseball and all of professional sports.
