## PrefaceTextbook overview

The chapters of this book are as follows:

1. Data collection. Data structures, variables, and basic data collection techniques.

2. Summarizing data. Data summaries and graphics.

3. Probability. The basic principles of probability.

4. Distributions of random variables. Introduction to key distributions, and how the normal model applies to the sample mean and sample proportion.

5. Foundations for inference. General ideas for statistical inference in the context of estimating the population proportion.

6. Inference for categorical data. Inference for proportions and contingency tables using the normal and chi-square distributions.

7. Inference for numerical data. Inference for one or two sample means using the $t$-distribution.

8. Introduction to linear regression. An introduction to regression with two variables, and inference on the slope of the regression line.