Statistics book table of contents

College Statistics in the AI Era

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Table of Contents

Part I. Concepts and Foundations

Chapter 1. Statistics as Inference Today
Chapter 2. Types of Data and Measurement
Chapter 3. Descriptive Statistics

Part II. Probability

Chapter 4. Probability Basics
Chapter 5. Distributions and the Normal Curve

Part III. Statistical Inference

Chapter 6. Confidence Intervals
Chapter 7. The t-Test
Chapter 8. ANOVA and Experimental Design
8.1 One-Way ANOVA
8.2 Two-Way ANOVA (2x2 Factorial)
8.3 Repeated-Measures ANOVA
8.4 Mixed ANOVA (Split-Plot)
8.5 Post Hoc Comparisons
Chapter 9. Correlation and Regression
Chapter 10. Chi-Square Tests
Chapter 11. Nonparametric Statistics

Part IV. Expanding the Toolkit

Chapter 12. Bayesian Statistics
Chapter 13. Logistic Regression & Classification
Chapter 14. Resampling Methods (Bootstrap & Permutation)
Chapter 15. Survival Analysis

Part V. Statistics in the AI Era

Chapter 16. Big Data and Computational Statistics
Chapter 17. Statistics and Machine Learning
Chapter 18. Ethics and the Future of Statistics
Epilogue
Bibliography
Appendices
Appendix A. Statistical Tables
Appendix B. Glossary
Appendix C. FAQ
Appendix D. Software and Computation Guide
Appendix F. Datasets for Practice