Statistics

Introduction to Statistical Investigations AP® Edition

By Nathan Tintle, Ruth Carver, Beth L. Chance, George W. Cobb, Allan J. Rossman, Soma Roy, Todd Swanson, Jill VanderStoep
978-1-119-51928-7
About
Table of Contents
  • Introduction to Statistical Investigations AP® Edition is the first AP® Statistics book designed from the ground up to follow the GAISE recommendations endorsed by the American Statistical Association. Piloted by 22 AP® Statistics teachers and used by more than 1000 students over a 2-year period, this text is unlike any other AP® Statistics text currently available.

    To ensure maximum coverage of necessary concepts, every chapter includes content written specifically for the AP® Statistics course. Along with AP®-exam tips and AP®-style exercises found throughout the text, a chapter on preparing for the AP® exam is included. Two full-length practice exams (one in the text and one online) as well as a comprehensive set of 300 author videos round out the program.

    The authors introduce a spiral approach to statistical process through a six-step process of conducting statistical investigations. Students begin to develop an understanding of important and challenging concepts such as the p-value from the beginning. Then deepen their understanding as they encounter such ideas repeatedly in new scenarios where they reconsider and apply the six-step statistical investigation method allowing them to revisit, at deeper and deeper levels each time, the core ideas of statistical inference.

  • PRELIMINARIES: Introduction to Statistical Investigations

    SECTION P.1 Introduction to the Six-Step Method
    SECTION P.2 Exploring Data
    SECTION P.3 Exploring Random Processes

    UNIT 1

    CHAPTER 1 Significance: How Strong Is the Evidence?

    SECTION 1.1 Introduction to Chance Models
    SECTION 1.2 Measuring the Strength of Evidence
    SECTION 1.3 Alternative Measure of Strength of Evidence
    SECTION 1.4 What Impacts Strength of Evidence?
    SECTION 1.5 Inference for a Single Proportion: Theory-Based Approach
    SECTION 1.6 Sampling Distribution of a Sample Proportion
    SECTION 1.7 One-Proportion z-Test for a Population Proportion

    CHAPTER 2 Generalization: How Broadly Do the Results Apply?

    SECTION 2.1 Sampling from a Finite Population
    SECTION 2.1 Part 2 More on Simple Random Samples
    SECTION 2.1 Part 3 Stratified and Cluster Random Sampling

    SECTION 2.2 Inference for a Single Quantitative Variable
    SECTION 2.2 Part 2 Sampling Distribution of a Sample Mean
    SECTION 2.2 Part 3 One-Sample t-Test for a Population Mean

    SECTION 2.3 Errors and Significance

    CHAPTER 3 Estimation: How Large Is the Effect?

    SECTION 3.1 Statistical Inference: Confidence Intervals
    SECTION 3.2 2SD and Theory-Based Confidence Intervals for a Single Proportion
    SECTION 3.2 Part 2 One-Proportion z-Interval for a Single Proportion
    SECTION 3.3 2SD and Theory-Based Confidence Intervals for a Single Mean
    SECTION 3.3 Part 2 One-Sample t-Interval for a Single Mean
    SECTION 3.4 Factors that Affect the Width of a Confidence Interval
    SECTION 3.5: Cautions When Conducting Inference

    CHAPTER 4 Causation: Can We Say What Caused the Effect?

    SECTION 4.1 Association and Confounding
    SECTION 4.2 Observational Studies versus Experiments
    SECTION 4.3 Design of Experiments: Completely Randomized Design
    SECTION 4.4 Design of Experiments: Randomized Block Design

    UNIT 2

    CHAPTER 5 Comparing Two Proportions

    SECTION 5.1 Comparing Two Groups: Categorical Response
    SECTION 5.2 Comparing Two Proportions: Simulation-Based Approach
    SECTION 5.3 Comparing Two Proportions: Theory-Based Approach
    SECTION 5.4 Confidence Interval and Significance Test for a Difference Between Two Proportions

    CHAPTER 6 Comparing Two Means

    SECTION 6.1 Comparing Two Groups: Quantitative Response
    SECTION 6.1 Part 2 Comparing Distributions for a Quantitative Response Variable
    SECTION 6.2 Comparing Two Means: Simulation-Based Approach
    SECTION 6.3 Comparing Two Means: Theory-Based Approach
    SECTION 6.4 Confidence Interval and Significance Test for a Difference Between Two Independent Means

    CHAPTER 7 Paired Data: One Quantitative Variable

    SECTION 7.1 Paired Designs
    SECTION 7.2 Simulation-Based Approach to Analyzing Paired Data
    SECTION 7.3 Theory-Based Approach to Analyzing Data from Paired Samples
    SECTION 7.4 Confidence Interval and Significance Test for a Difference Between Two Means (Paired Data)

    UNIT 3

    CHAPTER 8 Comparing More Than Two Proportions

    SECTION 8.1 Comparing Multiple Proportions: Simulation-Based Approach
    SECTION 8.2 Comparing Multiple Proportions: Theory-Based Approach
    SECTION 8.3 Chi-Square Test for Homogeneity of Proportions and Independence
    SECTION 8.4 Chi-Square Goodness-of-Fit Test

    CHAPTER 9 Comparing More Than Two Means (Online at www.wiley.com/go/highschool)

    CHAPTER 10 Two Quantitative Variables

    SECTION 10.1 Two Quantitative Variables: Scatterplots and Correlation
    SECTION 10.2 Inference for the Correlation Coefficient: Simulation-Based Approach
    SECTION 10.3 Least Squares Regression
    SECTION 10.3 Part 2: More on Least Squares Regression
    SECTION 10.3 Part 3: Transformations to Achieve Linearity

    SECTION 10.4 Inference for the Regression Slope: Simulation-Based Approach
    SECTION 10.5 Inference for the Regression Slope: Theory-Based Approach
    SECTION 10.6: Confidence Interval and Significance Test for the Slope of a Regression Line

    UNIT 4

    CHAPTER 11 Randomness in Data: Modeling Randomness

    ECTION 11.1 Basics of Probability
    SECTION 11.2 Probability Rules
    SECTION 11.3 Conditional Probabilities and Independence
    SECTION 11.4 Discrete Random Variables
    SECTION 11.5 Random Variable Rules
    SECTION 11.6 Binomial and Geometric Random Variables
    SECTION 11.7 Continuous Random Variables and Normal Distributions
    SECTION 11.8 Revisiting Theory-Based Approximations to Sampling Distributions

    CHAPTER 12 Preparing for the AP Statistics Exam: Putting it all Together

    SECTION 12.1 Exploring Data
    SECTION 12.2 Sampling and Experimentation
    SECTION 12.3 Anticipating Patterns
    SECTION 12.4 Statistical Inference

    FULL LENGTH AP® PRACTICE EXAMS

    Practice Exam A

    Practice Exam B (online at www.wiley.com/go/highschool)

  • Instructor resources

    • Lock5 Author Website
    • Lock Showcase Site
    • StatKey
    • Digital Instructor&s Manual
    • Notes for Instructors
    • PowerPoint Lecture Slides
    • PowerPoint Lecture Slides with Clickers
    • Clicker Questions
    • Class Activity Handouts
    • Class Example Handouts & Answers
    • Class Handouts for Essential Synthesis
    • Data Sets
    • Complete Solutions
    • Computerized Test Bank
    • Printed Test Bank
    • Minitab Support Materials
    • TI-83 Support Materials
    • R Support Materials - Basic
    • Excel Support Materials
    • Fathom Support Materials
    • SAS Support Materials
    • Projects
    • Image Gallery
    • Art PowerPoints
    • Student Video Index

    Student resources

    • StatKey
    • Data Sets
    • Minitab Support Materials
    • TI-83 Support Materials
    • R Support Materials - Basic
    • Excel Support Materials
    • Fathom Support Materials
    • SAS Support Materials
    • Projects
    • Digital Video Solutions and Tutorials Manual

Statistics: Unlocking the Power of Data, 2nd Edition (High School Binding)

By Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock
978-1-119-16364-0
About
  • Statistics: Unlocking the Power of Data, 2nd Edition continues to utilize these intuitive methods like randomization and bootstrap intervals to introduce the fundamental idea of statistical inference. These methods are brought to life through authentically relevant examples, enabled through easy to use statistical software, and are accessible at very early stages of a course. The program includes the more traditional methods like t-tests, chi-square texts, etc. but only after students have developed a strong intuitive understanding of inference through randomization methods. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The program is driven by real data and real applications.

  • Instructor resources

    • Lock5 Author Website
    • Lock Showcase Site
    • StatKey
    • Digital Instructor&s Manual
    • Notes for Instructors
    • PowerPoint Lecture Slides
    • PowerPoint Lecture Slides with Clickers
    • Clicker Questions
    • Class Activity Handouts
    • Class Example Handouts & Answers
    • Class Handouts for Essential Synthesis
    • Data Sets
    • Complete Solutions
    • Computerized Test Bank
    • Printed Test Bank
    • Minitab Support Materials
    • TI-83 Support Materials
    • R Support Materials - Basic
    • Excel Support Materials
    • Fathom Support Materials
    • SAS Support Materials
    • Projects
    • Image Gallery
    • Art PowerPoints
    • Student Video Index

    Student resources

    • StatKey
    • Data Sets
    • Minitab Support Materials
    • TI-83 Support Materials
    • R Support Materials - Basic
    • Excel Support Materials
    • Fathom Support Materials
    • SAS Support Materials
    • Projects
    • Digital Video Solutions and Tutorials Manual

Introductory Statistics, 9th Edition (High School Binding)

By Prem S. Mann
978-1-119-05571-6
About
Sample Chapter
  • Introductory Statistics, 9th Edition with the online learning environment of WileyPLUS Learning Space provides the necessary practice, support, concept mastery and individualized instruction that ensure success in a High School Statistics course. With its Collaborative E-Textbook, My Notes personalization capability and Course Stream communication tool, WileyPLUS Learning Space will transform any course into a vibrant, collaborative learning community.

    This WileyPLUS Learning Space course includes ORION Adaptive Practice Algebra Refresher Module that gives students the opportunity to master algebra skills at home, allowing instructors to focus class time on Introductory Statistics. Based on cognitive science, ORION helps students build proficiency on topics while using their study time most effectively. Easy-to-use analytics highlight student strengths and weaknesses to give them the best chance of succeeding in the course.


  • Instructor resources

    • Lock5 Author Website
    • Lock Showcase Site
    • StatKey
    • Digital Instructor&s Manual
    • Notes for Instructors
    • PowerPoint Lecture Slides
    • PowerPoint Lecture Slides with Clickers
    • Clicker Questions
    • Class Activity Handouts
    • Class Example Handouts & Answers
    • Class Handouts for Essential Synthesis
    • Data Sets
    • Complete Solutions
    • Computerized Test Bank
    • Printed Test Bank
    • Minitab Support Materials
    • TI-83 Support Materials
    • R Support Materials - Basic
    • Excel Support Materials
    • Fathom Support Materials
    • SAS Support Materials
    • Projects
    • Image Gallery
    • Art PowerPoints
    • Student Video Index

    Student resources

    • StatKey
    • Data Sets
    • Minitab Support Materials
    • TI-83 Support Materials
    • R Support Materials - Basic
    • Excel Support Materials
    • Fathom Support Materials
    • SAS Support Materials
    • Projects
    • Digital Video Solutions and Tutorials Manual

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