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Table of contents
Statistics from Evidence to Inference
An undergraduate path to reasoning clearly with data, chance, and uncertainty
Read each section in order. Every title can be opened as a TheoryTrace document.
- Cover1
- Copyright2
- How to read this book3
- Introduction4
- Chapter 1: What Statistics Is For5
- Chapter 2: Data, Measurement, and Study Design6
- Chapter 3: Experiments, Observational Studies, and Causality7
- Chapter 4: Describing Distributions8
- Chapter 5: The Mean, Standard Deviation, and Standard Units9
- Chapter 6: The Normal Curve and Its Uses10
- Chapter 7: Relationships Between Two Variables11
- Chapter 8: Correlation and Regression12
- Chapter 9: Regression Pitfalls and Model Checking13
- Chapter 10: Probability as a Model of Chance14
- Chapter 11: Counting, Independence, and Conditional Reasoning15
- Chapter 12: Random Variables and Expected Value16
- Chapter 13: The Binomial Model and Repeated Trials17
- Chapter 14: Sampling and the Logic of Surveys18
- Chapter 15: Sampling Distributions and the Standard Error19
- Chapter 16: The Central Limit Theorem20
- Chapter 17: Confidence Intervals21
- Chapter 18: Tests of Significance22
- Chapter 19: Power, Errors, and Practical Significance23
- Chapter 20: Inference for Counts and Categories24
- Chapter 21: Comparing Groups25
- Chapter 22: Regression Inference26
- Chapter 23: Statistical Thinking in the Real World27
- Chapter 24: Responsible Use of Statistics28
- Conclusion29