When fans talk about baseball, they usually refer to the players, a manager who has been hired or fired, or to an outrageous owner. Less attention is paid to the supporting cast that produces the game. This collection of interviews looks at the lives of twenty-one people who work in all parts of major and minor league baseball: usher and broadcaster, beer vendor and sportswriter, clubhouse attendant and field manager, ticket seller and owner, scout and general manager, mascot and player. Interviewees include those in the public eye such as manager Jim Leyland, Yankees player Bernie Williams, and the Phillie Phanatic mascot as well as those who work behind the scenes. Organized by work setting - the stands, the field, the press box, and the front office - the accounts yield a wealth of insight into little-known aspects of the game: how broadcasters prepare, how clubs strategize to attract fans, how announcers work to increase the tempo of play, and even why groundskeepers mow infield and outfield grasses differently.

In A Mathematician at the Ballpark, professor Ken Ross reveals the math behind the stats. This lively and accessible book shows baseball fans how to harness the power of made predictions and better understand the game. Using real-world examples from historical and modern-day teams, Ross shows: • Why on-base and slugging percentages are more important than batting averages • How professional odds makers predict the length of a seven-game series • How to use mathematics to make smarter bets A Mathematician at the Ballpark is the perfect guide to the science of probability for the stats-obsessed baseball fans—and, with a detailed new appendix on fantasy baseball, an essential tool for anyone involved in a fantasy league.

George Gmelch describes what life is like for professional baseball players, describing their everyday routines and traditions.

The Ultimate Review Guide for the CRT, RRT, and CSE Exams! Continuous Up-to-date NBRC Examination Guidelines and Correlations on Companion Website Comprehensive Respiratory Therapy Exam Preparation Guide, Second Edition is a comprehensive study guide for respiratory therapy students and graduates of accredited respiratory therapy education programs who are seeking to take the Certified Respiratory Therapist (CRT) or Registered Respiratory Therapist (RRT) credentialing exams from the National Board for Respiratory Care (NBRC). Comprehensive Respiratory Therapy Exam Preparation Guide, Second Edition is reflective of the current CRT, RRT, and CSE exam matrix and authored by experts who take the credentialing exam annually, so you can be confident that the content and format of this guide is current! Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.

Completely updated to reflect the 2020 NBRC TMC and CSE exams, Comprehensive Respiratory Therapy Exam Preparation Guide, Fourth Edition is an extensive study guide for respiratory therapy students and who are preparing to take the exams.

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.