Textbook notes for OpenIntro Statistics - Fourth Edition - all credit goes to the original authors.

NOTE: These notes are not exhaustive; they do not cover every chapter/subchapter and some concepts were skipped.

---

1. Introduction to Data

• 1.2 Data basics

2. Summarizing Data

• 2.1 Examining numerical data

3. Probability

• 3.1 Defining probability
• 3.2 Conditional probability
• 3.3 Sampling from a small population
• 3.4 Random variables
• 3.5 Permutations and Combinations

4. Distributions of Random Variables

• 4.1 Normal distribution
• 4.2 Geometric distribution
• 4.3 Binomial distribution
• 4.4 Negative binomial distribution
• 4.5 Poisson distribution

5. Foundations for Inference

• 5.1 Point estimates and sampling variability
• 5.2 Confidence intervals for a proportion
• 5.3 Hypothesis testing for a proportion

6. Inference for Categorical Data

• 6.1 Inference for a single proportion
• 6.2 Difference of two proportions
• 6.3 Testing for goodness of fit using chi-square method
• 6.4 Testing for independence in two-way tables

7. Inference for Numerical Data

• 7.1 One-sample means with the t-distribution
• 7.2 Paired data
• 7.3 Difference of two means
• 7.4 Power calculations for a difference of means
• 7.5 Comparing many means with ANOVA

8. Introduction to Linear Regression

• 8.1 Fitting a line, residuals, and correlation
• 8.2 Least squares regression