What is included with this book?
Statistical Reasoning: Investigating a Claim of Discrimination | |
Discrimination in the Workplace: Data Exploration | |
Discrimination in the Workplace: Inference | |
Exploring Distributions of Data | |
Visualizing Distributions: Shape, Center, and Spread | |
Summarizing Center and Spread | |
Working with Summary Statistics | |
The Normal Distribution | |
Exploring the Relationship between Two Quantitative Variables | |
Scatterplots | |
Regression: Getting a Line on the Pattern | |
Correlation: The Strength of a Linear Trend | |
Diagnostics: Looking for Features That the Summaries Miss | |
Sample Surveys and Experiments | |
Random Sampling: Playing It Safe by Taking Chances | |
Why Take Samples, and How Not To | |
Experiments and Inference about Cause | |
Designing Experiments to Reduce Variability | |
Probability Models | |
Models of Random Behavior | |
The Addition Rule and Disjoint Events | |
Conditional Probability and the Multiplication Rule | |
Independent Events | |
Probability Distributions | |
Probability Distributions and Expected Value | |
Rules for Means and Variances of Probability Distributions | |
The Binomial Distribution | |
Sampling Distributions | |
Generating Sampling Distributions | |
Sampling Distribution of the Sample Mean | |
Sampling Distribution of the Sample Proportion | |
Inference for a Proportion | |
Estimating a Proportion with Confidence | |
Confidence Interval for a Proportion | |
A Significance Test for a Proportion: Interpreting a P-Value | |
A Significance Test for a Proportion: Making a Decision | |
Types of Errors and Power of a Test | |
Comparing Two Populations: Inference for the Difference of Two Proportions | |
A Confidence Interval for the Difference of Two Proportions | |
A Significance Test for the Difference of Two Proportions | |
Inference for Experiments and Observational Studies | |
Inference for a Mean | |
A Confidence Interval for a Mean | |
A Significance Test for a Mean: Interpreting a P-Value | |
Fixed-Level Tests | |
Comparing Two Populations: Inference for the Difference of Two Means | |
A Confidence Interval for the Difference of Two Means | |
A Significance Test for the Difference of Two Means | |
Inference for Paired Comparisons | |
Chi-Square Tests | |
Testing a Probability Model: The Chi-Square Goodness-of-Fit Test | |
The Chi-Square Test of Homogeneity | |
The Chi-Square Test of Independence | |
Inference for Regression | |
Variation in the Slope from Sample to Sample | |
Making Inferences about Slopes | |
Analysis of Variance | |
A New Look at the Two-Sample t-Test | |
One-Way ANOVA: When There Are More Than Two Groups | |
A Two-Way Analysis of Variance: The Effectiveness of Blocking | |
Two-Way ANOVA When the Treatments Have Factorial Structure | |
Multiple Regression | |
From One to Two Explanatory Variables | |
From Two to More Explanatory Variables, including Categorical Variables | |
Westvaco Revisited: Modern Distribution-Free Techniques | |
Dealing with Small Samples of Categorical Data: Exact Tests | |
Randomization Tests | |
Martin versus Westvaco Revisited: Testing a Claim of Discrimination | |
Statistical Tables | |
Table A: Standard Normal Probabilities | |
Table B: t-Distribution Critical Values | |
Table C: x^{2} Critical Values | |
Table D: F-Distribution Critical Values | |
Table E: Random Digits | |
Glossary | |
Brief Answers to Practice Problems and Selected Exercises | |
Photo Credits | |
Index | |
To be delivered electronically (website): | |
Transformations for Bivariate Data: | |
When Conditions Aren't Met for Regression | |
The Geometric Distribution | |
Transformations for Univariate Data: When Conditions Aren't Met for a t-Test | |
Statistics in Action: Case Studies | |
Mum's the Word! | |
Keeping Tabs on Americans | |
Baseball: Does Money Buy Success? | |
Table of Contents provided by Publisher. All Rights Reserved. |