Statistics: Learning from Data (AP Edition ©2019 - Original Chapter Order) 2nd edition

Access is contingent on use of this textbook in the instructor's classroom.

• Chapter 1: Collecting Data In Reasonable Ways
  • 1.1: Statistics—It's All About Variability
  • 1.2: Statistical Studies: Observation and Experimentation
  • 1.3: Collecting Data: Planning an Observational Study
  • 1.4: Collecting Data—Planning an Experiment
  • 1.5: The Importance of Random Selection and Random Assignment: What Types of Conclusions are Reasonable?
  • 1.6: Avoid These Common Mistakes
  • 1: Review Exercises
  • 1: AP^® Review Questions
  
  
• Chapter 2: Graphical Methods for Describing Data Distributions
  • 2.1: Selecting an Appropriate Graphical Display
  • 2.2: Displaying Categorical Data: Bar Charts and Comparative Bar Charts
  • 2.3: Displaying Numerical Data: Dotplots, Stem-and-Leaf Displays, and Histograms
  • 2.4: Displaying Bivariate Numerical Data: Scatterplots and Time Series Plots
  • 2.5: Graphical Displays in the Media
  • 2.6: Avoid These Common Mistakes
  • 2: Review Exercises
  • 2: AP^® Review Questions
  • 2: JMP Simulations
  
  
• Chapter 3: Numerical Methods for Describing Data Distributions
  • 3.1: Selecting Appropriate Numerical Summaries
  • 3.2: Describing Center and Variability for Data Distributions That Are Approximately Symmetric
  • 3.3: Describing Center and Variability for Data Distributions That Are Skewed or Have Outliers
  • 3.4: Summarizing a Data Set: Boxplots
  • 3.5: Measures of Relative Standing: z-scores and Percentiles
  • 3.6: Avoid These Common Mistakes
  • 3: Review Exercises
  • 3: AP^® Review Questions
  • 3: JMP Simulations
  
  
• Chapter 4: Describing Bivariate Numerical Data
  • 4.1: Correlation
  • 4.2: Linear Regression: Fitting a Line to Bivariate Data
  • 4.3: Assessing the Fit of a Line
  • 4.4: Describing Linear Relationships and Making Predictions—Putting It All Together
  • 4.5: Modeling Nonlinear Relationships
  • 4.6: Avoid These Common Mistakes
  • 4: Review Exercises
  • 4: AP^® Review Questions
  • 4: JMP Simulations
  
  
• Chapter 5: Probability
  • 5.1: Interpreting Probabilities
  • 5.2: Calculating Probabilities
  • 5.3: Probabilities of More Complex Events: Unions, Intersections, and Complements
  • 5.4: Conditional Probability
  • 5.5: Calculating Probabilities—A More Formal Approach (Optional)
  • 5.6: Probability as a Basis for Making Decisions
  • 5.7: Estimating Probabilities Empirically and Using Simulation (Optional)
  • 5: Review Exercises
  • 5: AP^® Review Questions
  
  
• Chapter 6: Random Variables and Probability Distributions
  • 6.1: Random Variables
  • 6.2: Probability Distributions for Discrete Random Variables
  • 6.3: Probability Distributions for Continuous Random Variables
  • 6.4: The Mean and Standard Deviation of a Random Variable
  • 6.5: Normal Distributions
  • 6.6: Checking for Normality
  • 6.7: Binomial and Geometric Distributions
  • 6.8: Using the Normal Distribution to Approximate a Discrete Distribution
  • 6: Review Exercises
  • 6: AP^® Review Questions
  
  
• Chapter 7: An Overview of Statistical Inference—Learning from Data
  • 7.1: Statistical Inference—What You Can Learn From Data
  • 7.2: Selecting an Appropriate Method—Four Key Questions
  • 7.3: A Five-Step Process for Statistical Inference
  • 7: Review Exercises
  • 7: AP^® Review Questions
  
  
• Chapter 8: Sampling Variability and Sampling Distributions
  • 8.1: Statistics and Sampling Variability
  • 8.2: The Sampling Distribution of a Sample Proportion
  • 8.3: How Sampling Distributions Support Learning from Data
  • 8: Review Exercises
  • 8: AP^® Review Questions
  
  
• Chapter 9: Estimating a Population Proportion
  • 9.1: Selecting an Estimator
  • 9.2: Estimating a Population Proportion—Margin of Error
  • 9.3: A Large-Sample Confidence Interval for a Population Proportion
  • 9.4: Choosing a Sample Size to Achieve a Desired Margin of Error
  • 9.5: Avoid These Common Mistakes
  • 9: Review Exercises
  • 9: AP^® Review Questions
  
  
• Chapter 10: Asking and Answering Questions About a Population Proportion
  • 10.1: Hypotheses and Possible Conclusions
  • 10.2: Potential Errors in Hypothesis Testing
  • 10.3: The Logic of Hypothesis Testing—An Informal Example
  • 10.4: A Procedure for Carrying Out a Hypothesis Test
  • 10.5: Large-Sample Hypothesis Tests for a Population Proportion
  • 10.6: Power and the Probability of Type II Error
  • 10.7: Avoid These Common Mistakes
  • 10: Review Exercises
  • 10: AP^® Review Questions
  
  
• Chapter 11: Asking and Answering Questions About the Difference Between Two Population Proportions
  • 11.1: Estimating the Difference Between Two Population Proportions
  • 11.2: Testing Hypotheses About the Difference Between Two Population Proportions
  • 11.3: Inference for Two Proportions Using Data from an Experiment
  • 11.4: Avoid These Common Mistakes
  • 11: Review Exercises
  • 11: AP^® Review Questions
  
  
• Chapter 12: Asking and Answering Questions About a Population Mean
  • 12.1: The Sampling Distribution of the Sample Mean
  • 12.2: A Confidence Interval for a Population Mean
  • 12.3: Testing Hypotheses About a Population Mean
  • 12.4: Avoid These Common Mistakes
  • 12: Review Exercises
  • 12: AP^® Review Questions
  • 12: JMP Simulations
  
  
• Chapter 13: Asking and Answering Questions About the Difference Between Two Means
  • 13.1: Two Samples: Paired versus Independent Samples
  • 13.2: Learning About a Difference in Population Means Using Paired Samples
  • 13.3: Learning About a Difference in Population Means Using Independent Samples
  • 13.4: Inference for Two Means Using Data from an Experiment
  • 13.5: Avoid These Common Mistakes
  • 13: Review Exercises
  • 13: AP^® Review Questions
  • 13: JMP Simulations
  
  
• Chapter 14: Learning from Categorical Data
  • 14.1: Chi-Square Tests for Univariate Categorical Data
  • 14.2: Tests for Homogeneity and Independence in a Two-Way Table
  • 14.3: Avoid These Common Mistakes
  • 14: Review Exercises
  • 14: AP^® Review Questions
  • 14: JMP Simulations
  
  
• Chapter 15: Understanding Relationships—Numerical Data
  • 15.1: The Simple Linear Regression Model
  • 15.2: Inferences Concerning the Slope of the Population Regression Line
  • 15.3: Checking Model Adequacy
  • 15: Review Exercises
  • 15: AP^® Review Questions
  
  
• Chapter FT5: Fast Track to a 5: Preparing for the AP^® Statistics Examination
  • FT5.DT: A Diagnostic Test
  • FT5.1: Graphical Methods for Describing Data
  • FT5.2: Numerical Methods for Describing Data
  • FT5.3: Summarizing Bivariate Data
  • FT5.4: Collecting Data Sensibly
  • FT5.5: Probability
  • FT5.6: Random Variables and Probability Distributions
  • FT5.7: Sampling Variability and Sampling Distributions
  • FT5.8: Estimating Using a Single Sample
  • FT5.9: Hypothesis Testing Using a Simple Sample
  • FT5.10: Comparing Two Populations or Treatments
  • FT5.11: The Analysis of Categorical Data and Goodness-of-Fit Tests
  • FT5.12: Inference for Linear Regression and Correlation
  • FT5.T1: Practice Test I
  • FT5.T2: Practice Test II