Statistics in Action

Student Textbook Table of Contents

Chapter 1: A Case Study of Statistics in Action
1.1 Discrimination in the Workplace: Data Exploration
1.2 Discrimination in the Workplace: Inference

Chapter 2: Exploring Distributions
2.1 The Shapes of Things: Visualizing Distributions
2.2 Graphical Displays for Distributions
2.3 Measures of Center and Spread
2.4 The Normal Distribution

Chapter 3: Relationships Between Two Quantitative Variables
3.1 Scatterplots
3.2 Getting a Line on the Pattern
3.3 Correlation: The Strength of a Linear Trend
3.4 Diagnostics: Looking for Features That the Summaries Miss
3.5 Shape-Changing Transformations

Chapter 4: Sample Surveys and Experiments
4.1 Why Take Samples, and How Not To
4.2 Randomizing: Playing It Safe by Taking Chances
4.3 Experiments and Inference About Cause
4.4 Designing Experiments to Reduce Variability

Chapter 5: Sampling Distributions
5.1 Sampling from a Population
5.2 Generating Sampling Distributions
5.3 Sampling Distribution of the Sample Mean
5.4 Sampling Distribution of the Sample Proportion
5.5 Sampling Distribution of the Sum and Difference

Chapter 6: Probability Models
6.1 Sample Spaces with Equally Likely Outcomes
6.2 The Addition Rule and Disjoint Events
6.3 Conditional Probability
6.4 Independent Events

Chapter 7: Probability Distributions
7.1 Random Variables and Expected Value
7.2 The Binomial Distribution
7.3 The Geometric Distribution

Chapter 8: Inference for Proportions
8.1 Estimating a Proportion with Confidence
8.2 Testing a Proportion
8.3 A Confidence Interval for the Difference of Two Proportions
8.4 A Significance Test for the Difference of Two Proportions

Student Textbook Table of Contents
9.1 Towards a Confidence Interval for a Mean
9.2 Towards a Significance Test for a Mean
9.3 When You Estimate σ: The t-Distribution
9.4 The Effect of Long Tails and Outliers
9.5 Inference for the Difference Between Two Means
9.6 Paired Comparisons

Chapter 10: Chi-Square Tests
10.1 Testing a Probability Model: The Chi-Square Goodness-of-Fit Test
10.2 The Chi-Square Test of Homogeneity
10.3 The Chi-Square Test of Independence

Chapter 11: Inference for Regression
11.1 Variation in the Estimated Slope
11.2 Making Inferences About Slopes
11.3 Transforming for a Better Fit

Chapter 12: Statistics in Action: Case Studies
12.1 Mum’s the Word!
12.2 Baseball: Does Money Buy Success?
12.3 Martin v. Westvaco Revisited: Testing for Possible Employment Discrimination

Chapter 13: Analysis of Variance
13.1 A New Look at the Two-Sample t-Test
13.2 One-Way ANOVA: When There Are More Than Two Groups
13.3 When There Are Blocks as well as Treatments—A Two-Way Analysis of Variance
13.4 Two-Way ANOVA When the Treatments Have Factorial Structure