Published by Pearson (April 7, 2025) © 2025
Michael Sullivan | George WoodburyProduct Information
1: Data Collection
- 1.1 Introduction to the Practice of Statistics
- 1.2 Observational Studies versus Designed Experiments
- 1.3 Simple Random Sampling
- 1.4 Other Effective Sampling Methods
- 1.5 Bias in Sampling
- 1.6 The Design of Experiments
- Chapter 1 Review
- Chapter 1 Practice Test
- Chapter 1 Projects
2: Organizing and Summarizing Data
- Preparing for Section 2.1: Organizing Qualitative Data
- 2.1 Organizing Qualitative Data
- Preparing for Section 2.2: Organizing Quantitative Data: The Popular Displays
- 2.2 Organizing Quantitative Data: The Popular Displays
- 2.3 Additional Displays of Quantitative Data
- 2.4 Graphical Misrepresentations of Data
- Chapter 2 Review
- Chapter 2 Practice Test
- Chapter 2 Projects
3: Numerically Summarizing Data
- Preparing for Section 3.1: Measures of Central Tendency
- 3.1 Measures of Central Tendency
- 3.2 Measures of Dispersion
- Preparing for Section 3.3: Measures of Central Tendency and Dispersion from Grouped Data
- 3.3 Measures of Central Tendency and Dispersion from Grouped Data
- 3.4 Measures of Position
- 3.5 The Five-Number Summary and Boxplots
- Chapter 3 Review
- Chapter 3 Practice Test
- Chapter 3 Projects
4: Describing the Relation between Two Variables
- Preparing for Section 4.1: Scatter Diagrams and Correlation
- 4.1 Scatter Diagrams and Correlation
- Preparing for Section 4.2: Least-Squares Regression
- 4.2 Least-Squares Regression
- Preparing for Section 4.3: Diagnostics on the Least-Squares Regression Line
- 4.3 Diagnostics on the Least-Squares Regression Line
- Preparing for Section 4.4: Contingency Tables and Association
- 4.4 Contingency Tables and Association
- Chapter 4 Review
- Chapter 4 Practice Test
- Chapter 4 Projects
5: Probability
- Preparing for Section 5.1: Probability Rules
- 5.1 Probability Rules
- 5.2 The Addition Rule and Complements
- 5.3 Independence and the Multiplication Rule
- 5.4 Conditional Probability and the General Multiplication Rule
- 5.5 Counting Techniques
- 5.6 Simulation
- 5.7 Putting It Together: Which Method Do I Use?
- Chapter 5 Review
- Chapter 5 Practice Test
- Chapter 5 Projects
6: Discrete Probability Distributions
- Preparing for Section 6.1: Discrete Random Variables
- 6.1 Discrete Random Variables
- Preparing for Section 6.2: The Binomial Probability Distribution
- 6.2 The Binomial Probability Distribution
- 6.3 The Poisson Probability Distribution
- Chapter 6 Review
- Chapter 6 Practice Test
- Chapter 6 Projects
7: The Normal Probability Distribution
- Preparing for Section 7.1: Properties of the Normal Distribution
- 7.1 Properties of the Normal Distribution
- Preparing for Section 7.2: Applications of the Normal Distribution
- 7.2 Applications of the Normal Distribution
- Preparing for Section 7.3: Assessing Normality
- 7.3 Assessing Normality
- Preparing for Section 7.4: The Normal Approximation to the Binomial Probability Distribution
- 7.4 The Normal Approximation to the Binomial Probability Distribution
- Chapter 7 Review
- Chapter 7 Practice Test
- Chapter 7 Projects
8: Sampling Distributions
- Preparing for Section 8.1: Distribution of the Sample Mean
- 8.1 Distribution of the Sample Mean
- Preparing for Section 8.2: Distribution of the Sample Proportion
- 8.2 Distribution of the Sample Proportion
- Chapter 8 Review
- Chapter 8 Practice Test
- Chapter 8 Projects
9: Estimating the Value of a Parameter
- Preparing for Section 9.1: Estimating a Population Proportion
- 9.1 Estimating a Population Proportion
- Preparing for Section 9.2: Estimating a Population Mean
- 9.2 Estimating a Population Mean
- 9.3 Putting It Together: Which Procedure Do I Use?
- 9.4 Estimating with Bootstrapping
- Chapter 9 Review
- Chapter 9 Practice Test
- Chapter 9 Projects
10: Hypothesis Tests Regarding a Parameter
- Preparing for Section 10.1: Estimating a Population Mean
- 10.1 The Language of Hypothesis Testing
- Preparing for Section 10.2 Hypothesis Tests for a Population Proportion
- 10.2 Hypothesis Tests for a Population Proportion
- Preparing for Section 10.3 Hypothesis Tests for a Population Mean
- 10.3 Hypothesis Tests for a Population Mean
- Preparing for Section 10.3A Hypothesis Tests on a Population Mean Using Simulation and the Bootstrap
- 10.3A Hypothesis Tests on a Population Mean Using Simulation and the Bootstrap
- Chapter 10 Review
- Chapter 10 Practice Test
- Chapter 10 Projects
11: Inference on Two Samples
- Preparing for Section 11.1: Inference about Two Population Proportions
- 11.1 Inference about Two Population Proportions: Independent Samples
- 11.1A Using Randomization Techniques to Compare Two Proportions
- Preparing for Section 11.2: Inference about Two Population Means: Dependent Samples
- 11.2 Inference about Two Population Means: Dependent Samples
- Preparing for Section 11.2A: Using Bootstrapping to Conduct Inference on Two Dependent Means
- 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means
- Preparing for Section 11.3: Inference about Two Population Means: Independent Samples
- 11.3 Inference about Two Population Means: Independent Samples
- 11.3A Using Randomization Techniques to Compare Two Independent Means
- 11.4 Putting It Together: Which Procedure Do I Use?
- Chapter 11 Review
- Chapter 11 Practice Test
- Chapter 11 Projects
12: Inference on Categorical Data
- Preparing for Section 12.1: Goodness-of-Fit Test
- 12.1 Goodness-of-Fit Test
- Preparing for Section 12.2: Tests for Independence and the Homogeneity of Proportions
- 12.2 Tests for Independence and the Homogeneity of Proportions
- Preparing for Section 12.3: Inference about Two Population Proportions: Dependent Samples
- 12.3 Inference about Two Population Proportions: Dependent Samples
- Chapter 12 Review
- Chapter 12 Practice Test
- Chapter 12 Projects
13: Comparing Three or More Means
- Preparing for Section 13.1: Comparing Three or More Means: One-Way Analysis of Variance
- 13.1 Comparing Three or More Means: One-Way Analysis of Variance
- Preparing for Section 13.2: Post Hoc Tests on One-Way Analysis of Variance
- 13.2 Post Hoc Tests on One-Way Analysis of Variance
- Chapter 13 Review
- Chapter 13 Practice Test
- Chapter 13 Projects
14: Inference on the Least-Squares Regression Model and Multiple Regression
- Preparing for Section 14.1: Testing the Significance of the Least-Squares Regression Model
- 14.1 Testing the Significance of the Least-Squares Regression Model
- 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line
- Preparing for Section 14.2: Confidence and Prediction Intervals
- 14.2 Confidence and Prediction Intervals
- Preparing for Section 14.3: Introduction to Multiple Regression
- Chapter 14 Review
- Chapter 14 Practice Test
- Chapter 14 Projects