Look Inside Look Inside Cover: Statistics and Probability with Applications (High School), 3rd Edition by Daren Starnes; Josh Tabor
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Statistics and Probability with Applications (High School)

Third Edition ©2017 Daren Starnes; Josh Tabor

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...

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ISBN:9781464122163

ISBN:9781319524531

Look Inside Look Inside Cover: Statistics and Probability with Applications (High School), 3rd Edition by Daren Starnes; Josh Tabor

The only on-level statistics text
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 activities built into each chapter let students explore concepts and techniques in class.

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

Digital Options

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Table of Contents

About the Authors
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
Headshot of Daren Starnes

Daren Starnes

Daren Starnes has taught a variety of statistics courses—including AP® Statistics, Introductory Statistics, and Mathematical Statistics—for 25 years. 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 has been a Reader, Table Leader, and Question Leader for the AP® Statistics exam for over 20 years. As a College Board consultant since 1999, Daren has led hundreds of workshops for AP® Statistics teachers throughout the United States and overseas. He frequently presents in-person and online sessions about statistics teaching and learning for high school and college faculty. Daren is an active member of the National Council of Teachers of Mathematics (NCTM), the American Statistical Association (ASA), the American Mathematical Association of Two-Year Colleges (AMATYC), and the International Association for Statistical Education (IASE). He served on the ASA/NCTM Joint Committee on the Curriculum in Statistics and Probability for six years. While on the committee, he edited the Guidelines for Assessment and Instruction in Statistics Education (GAISE) pre-K–12 report. Daren is also coauthor of the popular on-level text Statistics and Probability with Applications (now in its fifth edition) and of the new college text Introductory Statistics: A Student-Centered Approach. Daren and his wife Judy enjoy traveling, rambling walks, jigsaw puzzles, and spending time with their three sons and seven grandchildren.

Headshot of Josh Tabor

Josh Tabor

Josh Tabor has enjoyed teaching on-level and AP® Statistics to high school students for more than 26 years, most recently at The Potter’s School. 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) as well as an experienced Reader, Table Leader, Question Leader, and Exam 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 one-day College Board workshops around the country and frequently speaks at local, national, and international conferences. In addition to teaching and speaking, Josh has authored articles in The American Statistician, The Mathematics Teacher, STATS Magazine, and The Journal of Statistics Education. Combining his love of statistics and love of sports, Josh teamed with Christine Franklin to write Statistical Reasoning in Sports, an innovative textbook for on-level statistics courses. Josh is also coauthor of the popular on-level text - Statistics and Probability with Applications (now in its fifth edition) and the new college text Introductory Statistics: A Student-Centered Approach. Outside of work, Josh enjoys gardening, traveling, and playing board games with his family.

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ExamView Testbank for Statistics and Probability with Applications (REVISED; High School)

Daren Starnes; Josh Tabor | Third Edition | ©2017 | ISBN:9781319234911

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

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Teacher's Edition Overview Video

Teacher's Edition for Statistics and Probability with Applications

Daren Starnes; Josh Tabor | Third Edition | ©2017 | ISBN:9781464156298
  •     Extensive advice on teaching each chapter
  •     Alternate examples for every worked example in the stu...
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Teacher's Resource Flash Drive for Statistics and Probability with Applications

Daren Starnes; Josh Tabor | Third Edition | ©2017 | ISBN:9781464156304
  •     Word .docs of alternate examples
  •     PowerPoint lecture presentations for each lesson
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