Understandable Statistics: Concepts and Methods 13th edition

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

• Chapter 1: Getting Started
  • 1: Concept Explorations
  • 1.1: What Is Statistics?
  • 1.2: Random Samples
  • 1.3: Introduction to Experimental Design
  • 1: Chapter Review Problems
  • 1: Labs
  • 1: Test Bank
  
  
• Chapter 2: Organizing Data
  • 2: Concept Explorations
  • 2.1: Frequency Distributions, Histograms, and Related Topics
  • 2.2: Bar Graphs, Circle Graphs, and Time-Series Graphs
  • 2.3: Stem-and-Leaf Displays
  • 2: Chapter Review Problems
  • 2: JMP Simulations
  • 2: Labs
  • 2: Test Bank
  
  
• Chapter 3: Averages and Variation
  • 3: Concept Explorations
  • 3.1: Measures of Central Tendency: Mode, Median, and Mean
  • 3.2: Measures of Variation
  • 3.3: Percentiles and Box-and-Whisker Plots
  • 3: Chapter Review Problems
  • 3: Cumulative Review Problems: Chapters 1-3
  • 3: JMP Simulations
  • 3: Labs
  • 3: Test Bank
  
  
• Chapter 4: Elementary Probability Theory
  • 4: Concept Explorations
  • 4.1: What Is Probability?
  • 4.2: Some Probability Rules—Compound Events
  • 4.3: Trees and Counting Techniques
  • 4: Chapter Review Problems
  • 4: Labs
  • 4: Test Bank
  
  
• Chapter 5: The Binomial Probability Distribution and Related Topics
  • 5: Concept Explorations
  • 5.1: Introduction to Random Variables and Probability Distributions
  • 5.2: Binomial Probabilities
  • 5.3: Additional Properties of the Binomial Distribution
  • 5.4: The Geometric and Poisson Probability Distributions
  • 5: Chapter Review Problems
  • 5: Labs
  • 5: Test Bank
  
  
• Chapter 6: Normal Curves and Sampling Distributions
  • 6: Concept Explorations
  • 6.1: Graphs of Normal Probability Distributions
  • 6.2: Standard Units and Areas Under the Standard Normal Distribution
  • 6.3: Areas Under Any Normal Curve
  • 6.4: Sampling Distributions
  • 6.5: The Central Limit Theorem
  • 6.6: Normal Approximation to Binomial Distribution and to p̂ Distribution
  • 6: Chapter Review Problems
  • 6: Cumulative Review Problems: Chapters 4-6
  • 6: Labs
  • 6: Test Bank
  
  
• Chapter 7: Estimation
  • 7: Concept Explorations
  • 7.1: Estimating μ When σ Is Known
  • 7.2: Estimating μ When σ Is Unknown
  • 7.3: Estimating p in the Binomial Distribution
  • 7.4: Estimating μ₁ – μ₂ and p₁ – p₂
  • 7: Chapter Review Problems
  • 7: JMP Simulations
  • 7: Labs
  • 7: Test Bank
  
  
• Chapter 8: Hypothesis Testing
  • 8: Concept Explorations
  • 8.1: Introduction to Statistical Tests
  • 8.2: Testing the Mean μ
  • 8.3: Testing a Proportion p
  • 8.4: Tests Involving Paired Differences (Dependent Samples)
  • 8.5: Testing μ₁ – μ₂ and p₁ – p₂ (Independent Samples)
  • 8: Chapter Review Problems
  • 8: JMP Simulations
  • 8: Labs
  • 8: Test Bank
  
  
• Chapter 9: Correlation and Regression
  • 9: Concept Explorations
  • 9.1: Scatter Diagrams and Linear Correlation
  • 9.2: Linear Regression and the Coefficient of Determination
  • 9.3: Inferences for Correlation and Regression
  • 9.4: Multiple Regression
  • 9: Chapter Review Problems
  • 9: Cumulative Review Problems: Chapters 7-9
  • 9: JMP Simulations
  • 9: Labs
  • 9: Test Bank
  
  
• Chapter 10: Chi-Square and F Distributions
  • 10: Concept Explorations
  • 10.1: Chi-Square: Tests of Independence and of Homogeneity
  • 10.2: Chi-Square: Goodness of Fit
  • 10.3: Testing and Estimating a Single Variance or Standard Deviation
  • 10.4: Testing Two Variances
  • 10.5: One-Way ANOVA: Comparing Several Sample Means
  • 10.6: Introduction to Two-Way ANOVA
  • 10: Chapter Review Problems
  • 10: JMP Simulations
  • 10: Labs
  • 10: Test Bank
  
  
• Chapter 11: Nonparametric Statistics
  • 11: Concept Explorations
  • 11.1: The Sign Test for Matched Pairs
  • 11.2: The Rank-Sum Test
  • 11.3: Spearman Rank Correlation
  • 11.4: Runs Test for Randomness
  • 11: Chapter Review Problems
  • 11: Cumulative Review Problems: Chapters 10-11
  • 11: Labs
  • 11: Test Bank
  
  
• Chapter A: Appendices
  • A.1: Bayes's Theorem
  • A.2: The Hypergeometric Probability Distribution
  
  
• Chapter PJT: Project
  • PJT.1: Project