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*Statistics and Probability with Applications, Third Edition* is the only introductory statistics text written by high school teachers for high school teachers and students. Daren Starnes, Josh Tabor, and the extended team of contributors bring their in-depth understanding of statistics an...

*Statistics and Probability with Applications, Third Edition* is the only introductory statistics text written by high school teachers for high school teachers and students. Daren Starnes, Josh Tabor, and the extended team of contributors bring their in-depth understanding of statistics and the challenges faced by high school students and teachers to development of the text and its accompanying suite of print and interactive resources for learning and instruction.

A complete re-envisioning of the authors’ Statistics Through Applications, this new text covers the core content for the course in a series of brief, manageable lessons, making it easy for students and teachers to stay on pace. Throughout, new pedagogical tools and lively real-life examples help captivate students and prepare them to use statistics in college courses and in any career.

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by high school teachers

for high school students

*Statistics and Probability with Applications, Third Edition* is the only introductory statistics text written by high school teachers for high school teachers and students. Daren Starnes, Josh Tabor, and the extended team of contributors bring their in-depth understanding of statistics and the challenges faced by high school students and teachers to development of the text and its accompanying suite of print and interactive resources for learning and instruction.

A complete re-envisioning of the authors’ Statistics Through Applications, this new text covers the core content for the course in a series of brief, manageable lessons, making it easy for students and teachers to stay on pace. Throughout, new pedagogical tools and lively real-life examples help captivate students and prepare them to use statistics in college courses and in any career.

Features

**Organization**

The ten chapters are divided into 71 easy-to-teach **Lessons**, making course management smoother and more intuitive.

Each Lesson includes **2-3 Learning Targets**, with each Target supported 1:1 with a worked example and a set of practice exercises.

A **Lesson App **closes every lesson, bringing together the three lesson learning targets in a real-world setting.

**Pedagogy****STATS applied!** opens and closes each chapter by introducing students to the types of researchers explore in fields like biology, public health, etc.

**212 Worked examples** help students understand the problem-solving process. Each Worked Example includes** "teacher talk"** balloons highlighting important steps, plus an accompanying **Example Video** more more guidance.

**Try it Problems** mirror each worked example provide immediate reinforcement or direct students back to the appropriate model example when they are doing homework assignments.

**Exercises**

Altogether, the practice sets in SPA include **more than 1600 exercises in total.**

Each Lesson ends with **four helpful categories of paired exercises.**

**Chapter review exercises** tie the lessons together. Each of these exercises has an accompanying **solution video** which reviews the problem step by step.

A **comprehensive test **concludes each chapter**Interactive Learning**High-interest

**Tech Corners** give brief directions about how to use **TI-83/84 graphing** calculators and the new statistical **applets** effectively.

New to This Edition

**New Applets** – developed by Bob Amar (The Lovett School) exclusively for the third edition, the new applets are easy to use for teachers and students to perform simulations and to generate statistical graphs and data so that the focus is on understanding instead of calculation.

**Student Site** -- the applets, Worked Example Videos, Chapter Review

Exercise Videos, and additional resources for students can be accessed through the student site on the catalog page

“Activities are critical to student learning of statistics. The Applications are like gold. If students can do the application, they have learned what they needed from that lesson.”Luke Wilcox, East Kentwood High School, Kentwood, MI

“Teachers should try to build in inferential thinking whenever possible. The book does a nice job of beginning the concept of inference early on so they should try to take advantage of that. The more students can think about inference, the stronger their statistical thinking will become.”Lindsey Gallas, East Kentwood High School, Kentwood, MI

“I love that one can cover an entire section in one class period. I like the spiral and review to begin class."Vicki Greenberg, The Weber School, Atlanta, GA

Look Inside

**
Statistics and Probability with Applications (High School)**

Third Edition| ©2017

Daren Starnes; Josh Tabor

Get the e-book, do your homework online, try some quizzes, and more!

Look Inside

**Statistics and Probability with Applications (High School)**

Third Edition| 2017

Daren Starnes; Josh Tabor

Acknowledgments

To the Student

Chapter 1 Analyzing One-Variable Data

Lesson 1.1 Statistics: The Science and Art of Data

Lesson 1.2 Displaying Categorical Data

Lesson 1.3 Displaying Quantitative Data: Dotplots

Lesson 1.4 Displaying Quantitative Data: Stemplots

Lesson 1.5 Displaying Quantitative Data: Histograms

Lesson 1.6 Measuring Center

Lesson 1.7 Measuring Variability

Lesson 1.8 Summarizing Quantitative Data: Boxplots and Outliers

Chapter 2 Modeling One-Variable Quantitative Data

Lesson 2.1 Describing Location in a Distribution

Lesson 2.2 Transforming Data

Lesson 2.3 Density Curves and the Normal Distribution

Lesson 2.4 The Empirical Rule and Assessing Normality

Lesson 2.5 Normal Distributions: Finding Areas from Values

Lesson 2.6 Normal Distributions: Finding Values from Areas

Chapter 3 Analyzing Two-Variable Data

Lesson 3.1 Relationships Between Two Categorical Variables

Lesson 3.2 Relationships Between Two Quantitative Variables

Lesson 3.3 Correlation

Lesson 3.4 More about Correlation

Lesson 3.5 Regression Lines

Lesson 3.6 The Least-Squares Regression Line

Lesson 3.7 Assessing a Regression Model

Chapter 4 Collecting Data

Lesson 4.1 Introduction to Data Collection

Lesson 4.2 Sampling: Good and Bad

Lesson 4.3 Sampling and Surveys

Lesson 4.4 Inference for Sampling

Lesson 4.5 Observational Studies and Experiments

Lesson 4.6 How to Experiment Well

Lesson 4.7 Inference for Experiments

Lesson 4.8 Using Studies Wisely

Chapter 5 Probability

Lesson 5.1 Randomness, Probability, and Simulation

Lesson 5.2 Basic Probability Rules

Lesson 5.3 Two-Way Tables and Venn Diagrams

Lesson 5.4 Conditional Probability and Independence

Lesson 5.5 The General Multiplication Rule and Tree Diagrams

Lesson 5.6 The Multiplication Rule for Independent Events

Lesson 5.7 The Multiplication Counting Principle and Permutations

Lesson 5.8 Combinations and Probability

Chapter 6 Random Variables

Lesson 6.1 Two Types of Random Variables

Lesson 6.2 Analyzing Discrete Random Variables

Lesson 6.3 Binomial Random Variables

Lesson 6.4 Analyzing Binomial Random Variables

Lesson 6.5 Normal Approximation to Binomial Distributions

Chapter 7 Sampling Distributions

Lesson 7.1 What Is a Sampling Distribution?

Lesson 7.2 Sampling Distributions: Center and Variability

Lesson 7.3 The Sampling Distribution of a Sample Proportion

Lesson 7.4 The Sampling Distribution of a Sample Mean

Lesson 7.5 The Central Limit Theorem

Chapter 8 Estimating a Parameter

Lesson 8.1 The Idea of a Confidence Interval

Lesson 8.2 What Affects the Margin of Error?

Lesson 8.3 Estimating a Proportion

Lesson 8.4 Confidence Intervals for a Proportion

Lesson 8.5 Estimating a Mean

Lesson 8.6 Confidence Intervals for a Mean

Chapter 9 Testing a Claim

Lesson 9.1 The Idea of a Significance Test

Lesson 9.2 Significance Tests and Decision Making

Lesson 9.3 Testing a Claim about a Proportion

Lesson 9.4 Significance Tests for a Proportion

Lesson 9.5 Testing a Claim about a Mean

Lesson 9.6 Significance Tests for a Mean

Chapter 10 Comparing Two Populations or Treatments

Lesson 10.1 Estimating a Difference Between Two Proportions

Lesson 10.2 Testing a Claim about a Difference Between Two Proportions

Lesson 10.3 Estimating a Difference Between Two Means

Lesson 10.4 Testing a Claim about a Difference Between Two Means

Lesson 10.5 Paired Data: Estimating a Mean Difference

Lesson 10.6 Paired Data: Testing a Claim about a Mean Difference

Chapter 11 Inference for Distributions and Relationships

Lesson 11.1 Testing the Distribution of a Categorical Variable

Lesson 11.2 Chi-Square Tests for Goodness of Fit

Lesson 11.3 Testing the Relationship Between Two Categorical Variables

Lesson 11.4 Chi-Square Tests for Association

Lesson 11.5 Estimating the Slope of a Least-Squares Regression Line

Lesson 11.6 Testing a Claim about the Slope of a Least-Squares Regression Line

Look Inside

**Statistics and Probability with Applications (High School)**

Third Edition| 2017

Daren Starnes; Josh Tabor

**Daren S. Starnes** is Mathematics Department Chair and holds the Robert S. and Christina Seix Dow Distinguished Master Teacher Chair in Mathematics at The Lawrenceville School near Princeton, New Jersey. He earned his MA in Mathematics from the University of Michigan and his BS in Mathematics from the University of North Carolina at Charlotte. Daren is also an alumnus of the North Carolina School of Science and Mathematics. Daren has led numerous one-day and weeklong AP® Statistics institutes for new and experienced teachers, and he has been a Reader, Table Leader, and Question Leader for the AP® Statistics exam since 1998. Daren is a frequent speaker at local, state, regional, national, and international conferences. He has written articles for *The Mathematics Teacher* and *CHANCE* magazine. From 2004 to 2009, Daren served on the ASA/NCTM Joint Committee on the Curriculum in Statistics and Probability (which he chaired in 2009). While on the committee, he edited the Guidelines for Assessment and Instruction in Statistics Education (GAISE) pre-K–12 report and coauthored (with Roxy Peck) *Making Sense of Statistical Studies*, a capstone module in statistical thinking for high school students. Daren is also coauthor of the popular on-level text *Statistics and Probability with Applications*.

**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.

Look Inside

**Statistics and Probability with Applications (High School)**

Third Edition| 2017

Daren Starnes; Josh Tabor

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Statistics and Probability with Applications, Third Edition is the only introductory statistics text written by high school teachers for high schoo...

Statistics and Probability with Applications, Third Edition is the only introductory statistics text written by high school teachers for high school teachers and students. Daren Starnes, Josh Tabor, and the extended team of contributors bring their in-depth understanding of statistics and the challenges faced by high school students and teachers to development of the text and its accompanying suite of print and interactive resources for learning and instruction.

A complete re-envisioning of the authors’ Statistics Through Applications, this new text covers the core content for the course in a series of brief, manageable lessons, making it easy for students and teachers to stay on pace. Throughout, new pedagogical tools and lively real-life examples help captivate students and prepare them to use statistics in college courses and in any career.

- Extensive advice on teaching each chapter
- Alternate examples for every worked example in the stu...

- Extensive advice on teaching each chapter
- Alternate examples for every worked example in the student text
- Answers to every problem are adjacent to the problem on the student page
- Just-in-time teaching tips for each lesson in the margin of the page where they apply

- Word .docs of alternate examples
- PowerPoint lecture presentations for each lesson
- ...

- Word .docs of alternate examples
- PowerPoint lecture presentations for each lesson
- Prepared tests and quizzes
- Worksheets for activities
- Professional development videos for every chapter and lesson

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**Statistics and Probability with Applications (High School)**

Third Edition| 2017

Daren Starnes; Josh Tabor

**Statistics and Probability with Applications (High School)**

Third Edition| 2017

Daren Starnes; Josh Tabor

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