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Look Inside Look Inside Statistical Reasoning in Sports by Josh Tabor; Chris Franklin - Second Edition, 2019 from Macmillan Student Store
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Statistical Reasoning in Sports

Second Edition| ©2019 Josh Tabor; Chris Franklin

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 exci...

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 perform simulations, analyze data, and use simple randomization processes to develop an understanding of statistics.

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Hardcover $113.56

ISBN:9781464142338

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Look Inside Look Inside Statistical Reasoning in Sports by Josh Tabor; Chris Franklin - Second Edition, 2019 from Macmillan Student Store

Unique approach to learning and applying statistics.

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 perform simulations, analyze data, and use simple randomization processes to develop an understanding of statistics.

Features

Examples
Each chapter begins with a question that sets the stage for the statistical concepts that are developed in the chapter. Short examples integrated in each chapter show students how to approach each situation and what a complete solution to the problem looks like.

Tech corners
Focusing on both applets and the TI-84, Tech Corners give step-by-step instructions to performing simulations and calculations.

Exercises
Now at the end of each section, exercises can be assigned in class or as homework. Certain exercises refer back to examples in the section that can be used as a model for answers. Chapter review exercises hit each learning target for extra practice before a test.

Callout boxes
Throughout the chapters, these callouts define sports terms, explain key concepts and review concepts introduced in previous chapters.

Think About It
These boxes in each chapter dig a little deeper into a statistical concept with applications in sports.

STATS 101
These boxes introduce students to the vocabulary and methods that might be used in a more traditional statistics class.

Chapter Summary
A simple yet comprehensive summary of concepts for each chapter in an outline format, followed by "What Did You Learn?" tables that provide learning targets and exact examples and exercises that address each learning target.

Investigative Projects
Mini-projects that give step-by-step instructions for students to conduct a statistical investigation of their favorite athlete or team.

New to This Edition

New! Clear sections within each chapter

Each chapter is broken down into 3-5 sections that make it easier to pace the content over a semester or year. Exercises are now at the end of each section (in addition to chapter review exercises) for more focused practice.

New! Other Applications (It's not just sports) sections

These sections provide even more examples and show how statistical concepts can be taken from a sports context and used in other real-life situations. Do students prefer name-brand cookies? Do high school boys prefer different superpowers than high school girls? Questions like these are explored in these sections using the ideas explained in earlier sections. Each of these sections have their own set of exercises that can be assigned in class or as homework.

Updated! Examples and exercises

The examples and exercises include more current data, introducing more popular athletes such as Steph Curry, Simone Biles, Katie Ledecky, and Rickie Fowler.

"I absolutely love how the material is laid out in the course . . . it makes students very excited about Statistics. This is a great way to introduce statistical concepts without getting very traditional."
- Dave Carucci, Lyndhurst High School, Lyndhurst, NJ

"The content is high-level, but the style and context help make the content accessible and enjoyable."
- Charles Clinton, Jamesville-Dewitt High School, Syracuse, NY

"I love the wider variety of sports represented in the new edition, as well as the inclusion of a section dedicated to applications other than sports. The topic-specific investigations at the end of each chapter are a nice addition, and the reorganization of topics and chapters is a positive change as well."
- Jill Tolbert, Winder-Barrow High School, Winder, GA

Look Inside Look Inside Statistical Reasoning in Sports by Josh Tabor; Chris Franklin - Second Edition, 2019 from Macmillan Student Store

Statistical Reasoning in Sports

Second Edition| ©2019

Josh Tabor; Chris Franklin

Digital Options

Look Inside Look Inside Statistical Reasoning in Sports by Josh Tabor; Chris Franklin - Second Edition, 2019 from Macmillan Student Store

Statistical Reasoning in Sports

Second Edition| 2019

Josh Tabor; Chris Franklin

Table of Contents

About the Authors

Preface

Chapter 1: Testing Claims in Sports

Is Steph Curry a Streaky Shooter?

  • Section 1: Modeling Athletic Performance
    • Section 1 Exercises

  • Section 2: Simulating Athletic Performance
    • Section 2 Exercises

  • Section 3: Other Applications (It's not just sports)
    • Section 3 Exercises

  • Chapter 1 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 1 Investigative Project

 

Chapter 2: Analyzing Categorical Variables

Did Cam Newton Choke in the Super Bowl?

  • Section 1: Displaying Categorical Data
    • Section 1 Exercises

  • Section 2: Tests for a Single Percentage
    • Section 2 Exercises

  • Section 3: Simulating with Technology and the State-Simulate-Conclude Process
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 2 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 2 Investigative Project

 

Chapter 3: Comparing Two Percentages

Do NFL Teams have a Home-Field Advantage?

  • Section 1: Summarizing Relationships between Two Categorical Variables
    • Section 1 Exercises

  • Section 2: Tests for a Difference in Percentages
    • Section 2 Exercises

  • Section 3: Simulating with Technology and the State-Simulate-Conclude Process
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 3 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 3 Investigative Project

 

Chapter 4: Experiments

Can You Visualize Success?

  • Section 1: Experiments and Observational Studies
    • Section 1 Exercises

  • Section 2: Designing Experiments
    • Section 2 Exercises

  • Section 3: Analyzing Experiments with Two Categorical Variables
    • Section 3 Exercises

  • Section 4: Type I and Type II Errors
    • Section 4 Exercises

  • Section 5: Other Applications (It's not just sports)
    • Section 5 Exercises

  • Chapter 4 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 4 Investigative Project

 

Chapter 5: Conditional Probability and Strategy in Sports

Should You Go for It on Fourth Down?

  • Section 1: Probability and Two-Way Tables
    • Section 1 Exercises

  • Section 2: Conditional Probability and Independence
    • Section 2 Exercises

  • Section 3: Tree Diagrams and Multiplication Rules
    • Section 3 Exercises

  • Section 4: Win Probability and Strategy in Sports
    • Section 4 Exercises

  • Section 5: Other Applications (It's not just sports)
    • Section 5 Exercises

  • Chapter 5 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 5 Investigative Project

 

Chapter 6: Analyzing Quantitative Variables

Do Rested Teams Play Better Defense?

  • Section 1: Displaying Quantitative Data
    • Section 1 Exercises

  • Section 2: Measuring Center and Variability
    • Section 2 Exercises

  • Section 3: Outliers and Boxplots
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 6 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 6 Investigative Project

 

Chapter 7: Comparing Two Means or Medians

Do Sports Drinks Keep You Hydrated?

  • Section 1: Tests for a Difference Between Two Means
    • Section 1 Exercises

  • Section 2: Technology and the State-Simulate-Conclude Process
    • Section 2 Exercises

  • Section 3: Tests for a Difference Between Two Medians
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 7 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 7 Investigative Project

 

Chapter 8: Exploring Paired Data

Can a swimsuit make you faster?

  • Section 1: Analyzing Paired Data
    • Section 1 Exercises

  • Section 2: Tests for a Mean Difference
    • Section 2 Exercises

  • Section 3: Technology and the State-Simulate-Conclude Process
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 8 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 8 Investigative Project

 

Chapter 9: More Measures of Variability

Which 7-Iron is More Consistent?

  • Section 1: Measuring Variability with the Mean Absolute Deviation
    • Section 1 Exercises

  • Section 2: Measuring Variability with the Standard Deviation
    • Section 2 Exercises

  • Section 3: Tests for a for a Difference in Two Standard Deviations
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 9 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 9 Investigative Project

Chapter 10: Standardized Scores and Normal Distributions

Who Should I Draft for my Fantasy Baseball Team?

  • Section 1: Standardized Scores (z-scores)
    • Section 1 Exercises

  • Section 2: Normal Distributions and the 68-95-99.7 Rule
    • Section 2 Exercises

  • Section 3: Normal Distribution Calculations
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 10 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 10 Investigative Project

Chapter 11: Sampling with Confidence

What is America's Favorite Sport to Watch?

  • Section 1: Sampling and Bias
    • Section 1 Exercises

  • Section 2: Sampling Variability and Confidence Intervals
    • Section 2 Exercises

  • Section 3: Estimating ABILITY with Confidence Intervals
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 4 Exercises

  • Chapter 11 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 11 Investigative Project

 

Chapter 12: Relationships between Two Quantitative Variables

Teeing Off: Hit it Long or Hit it Straight?

  • Section 1: Displaying Relationships
    • Section 1 Exercises

  • Section 2: Correlation
    • Section 2 Exercises

  • Section 3: Testing the Correlation
    • Section 3 Exercises

  • Section 4: Other Applications (It's not just sports)
    • Section 5 Exercises

  • Chapter 12 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 12 Investigative Project

 

Chapter 13: Using Relationships to Make Predictions

How Can We Build a Better Baseball Team?

  • Section 1: Predictions and Residuals
    • Section 1 Exercises

  • Section 2: Least-Squares Regression Lines
    • Section 2 Exercises

  • Section 3: Assessing a Least-Squares Regression Line
    • Section 3 Exercises

  • Section 4: Regression to the Mean
    • Section 4 Exercises

  • Section 5: Other Applications (It's not just sports)
    • Section 5 Exercises

  • Chapter 13 Summary

    • What Did You Learn?
    • Chapter Review Exercises
    • Chapter 13 Investigative Project
Look Inside Look Inside Statistical Reasoning in Sports by Josh Tabor; Chris Franklin - Second Edition, 2019 from Macmillan Student Store

Statistical Reasoning in Sports

Second Edition| 2019

Josh Tabor; Chris Franklin

Student Site
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Authors

Josh Tabor

Josh Tabor has enjoyed teaching on-level and AP® Statistics to high school students for more than 23 years, most recently at his alma mater, Canyon del Oro High School in Oro Valley, Arizona. He received a BS in Mathematics from Biola University, in La Mirada, California. In recognition of his outstanding work as an educator, Josh was named one of the five finalists for Arizona Teacher of the Year in 2011. He is a past member of the AP® Statistics Development Committee (2005–2009) and has been a Reader, Table Leader, and Question Leader at the AP® Statistics Reading since 1999. In 2013, Josh was named to the SAT® Mathematics Development Committee. Each year, Josh leads one-week AP® Summer Institutes and College Board workshops around the world and frequently speaks at local, national, and international conferences. In addition to teaching and speaking, Josh has published articles in The American Statistician, The Mathematics Teacher, STATS Magazine, and The Journal of Statistics Education. He is the coauthor with Daren Starnes of two other popular statistics textbooks, The Practice of Statistics for the AP® Exam, Sixth Edition, and Statistics and Probability with Applications, Third Edition, for on-level statistics. Outside of work, Josh enjoys gardening, traveling, and playing board games with his family.


Chris Franklin

Christine (Chris) Franklin is the K–12 Statistics Ambassador for the American Statistical Association and an elected ASA Fellow. Now retired from the University of Georgia as the Lothar Tresp Honoratus Honors Professor and Senior Lecturer Emerita in Statistics, she is also the coauthor of an Introductory Statistics textbook published with Pearson and has published more than 60 journal articles and book chapters. Chris was the lead writer for the groundbreaking document of the American Statistical Association Pre-K–12 Guidelines for the Assessment and Instruction in Statistics Education (GAISE) Framework and chaired the writing team of the ASA Statistical Education of Teachers (SET) report. She is a past Chief Reader for Advanced Placement® Statistics, a Fulbright scholar to New Zealand (2015), recipient of the United States Conference on Teaching Statistics (USCOTS) Lifetime Achievement Award and the prestigious ASA Founder’s Award, and is an elected member of the International Statistical Institute (ISI). Chris loves being with her family, running, hiking, scoring baseball games, and reading mysteries.

Look Inside Look Inside Statistical Reasoning in Sports by Josh Tabor; Chris Franklin - Second Edition, 2019 from Macmillan Student Store

Statistical Reasoning in Sports

Second Edition| 2019

Josh Tabor; Chris Franklin

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Josh Tabor; Chris Franklin; Doug Tyson | Second Edition | ©2019 | ISBN:9781319069445
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Look Inside Look Inside Statistical Reasoning in Sports by Josh Tabor; Chris Franklin - Second Edition, 2019 from Macmillan Student Store

Statistical Reasoning in Sports

Second Edition| 2019

Josh Tabor; Chris Franklin

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