Statistics and Probability with Applications High School

by Starnes, Daren; Tabor, Josh

• ISBN13: 9781464122163
• ISBN10: 1464122164
• eBook ISBN(s): 9781319120139
• Edition: 3rd
• Format: Hardcover
• Copyright: 2016-09-30
• Publisher: MPS HIGH SCHOOL
• More Book Details

About This Book

Statistics and Probability with Applications (High School)

ISBN: 9781464122163

This comprehensive textbook, Statistics and Probability with Applications (High School), is specifically designed for high school students to help them grasp the fundamental concepts of statistics and probability. Written by Daren S. Starnes and Josh Tabor, this third edition has been a go-to resource for both students and educators since its publication in 2016.

Who Uses It?

Primarily, this book is used by high school students in introductory statistics and probability courses. It's also a valuable resource for teachers looking to enhance their teaching methods and for students who want to prepare themselves for future college-level statistics courses.

History and Editions

The third edition of Statistics and Probability with Applications has been updated to address user feedback, incorporating real-life examples that make the subject more engaging and relevant. This edition includes detailed explanations, worked examples, and practice exercises to ensure students understand the material thoroughly.

Author and Other Works

Daren S. Starnes and Josh Tabor are the authors of this textbook. Daren Starnes is known for his ability to break down complex statistical concepts into manageable lessons, while Josh Tabor brings his expertise in teaching statistics to high school students. Their collaborative effort ensures that the book remains current and relevant for both students and teachers.

Key Features

• Organization: The ten chapters are divided into 71 easy-to-teach lessons, making course management smoother and more intuitive.
• Learning Targets: Each lesson includes 2-3 learning targets, supported by worked examples and practice exercises.
• Real-World Applications: The book uses lively real-life examples to prepare students to use statistics in college courses and any career.
• Interactive Tools: The accompanying Lesson App brings together the three lesson learning targets in a real-world setting, enhancing student engagement.

Detailed Information

ISBNs and Formats

• Hardcover: ISBN-13: 9781464122163
• eTextbook: Not guaranteed with rental or used book purchases (check title for inclusion of supplemental materials)
• Used/Rental: Available through various retailers, but supplemental materials are not guaranteed

Publication Details

• Publisher: W.H. Freeman
• Publication Date: September 30, 2016
• Number of Pages: 800 pages
• Language: English

Other Editions and Formats

• Second Edition: Not available (third edition is the latest)
• Related ISBNs:
• 9781319524531 (third edition, bound text)
• 9781319120139 (third edition, eTextbook)

Additional Resources

For more information or to purchase this book, you can visit eCampus.com or other educational retailers. If you're looking to rent a textbook, eCampus.com offers various rental durations that can save you up to 90% from the cost of buying.

This detailed information section provides a quick reference for all the available formats and sources for Statistics and Probability with Applications (High School), making it easier to find and access the book in the preferred format.

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