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

Statistics and Probability with Applications (High School)


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About the Book

This engaging and modern introduction to statistics helps prepare students for success in this course and in life.  Structured into bite-sized lessons with many integrated activities to get students “doing statistics” from the start, this program helps students understand the “why” and “how” of statistics.

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 Solutions Glossary/Glosario Notes and Data Sources Index Table A Standard Normal Probabilities Table B t Distribution Critical Values Table C Chi-Square Distribution Critical Values Table D Random Digits

About the Author :
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. Luke Wilcox is a National Board Certified teacher who has spent his 20-year teaching career at East Kentwood High School, the most diverse public high school in the state of Michigan. His teaching as been recognized with the 2013 Presidential Award and the 2018 Michigan Teacher of the Year award, each giving him the opportunity to visit the White House to meet the president. Luke is the author of the Annotated Teacher’s Edition for The Practice of Statistics, where he offers valuable insights gathered from his own classroom teaching experiences, as well as from his participation as a Reader and Table Leader at the AP® Statistics Reading. Luke also supports teachers through a variety of in-person and online workshops, as well as being a frequent presenter at conferences. To further help statistics teachers, Luke co-developed the website statsmedic.com, which is positively transforming statistics instruction in classrooms around the country. Luke leads his students with an Experience First, Formalize Later approach to teaching statistics—in which students engage in the mathematical thinking and reasoning before being provided algorithmic formulas and definitions. In his spare time, Luke enjoys traveling with his wife and two kids, running, and eating tacos.


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Product Details
  • ISBN-13: 9781319534295
  • Publisher: MacMillan Learning
  • Publisher Imprint: W.H.Freeman & Co Ltd
  • Language: English
  • Returnable: Y
  • ISBN-10: 1319534295
  • Publisher Date: 30 Nov 2022
  • Binding: Digital download and online
  • No of Pages: 864


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