The book is online and available here.

This document is keyed to the table of contents of the book.

The `Sugar`

data frame is available in the Little Apps.

- Activity: Response and Explanatory Variables

Each Little App can take a simple random sample from any of the datasets. Choose a large dataset–use “All” for the sample size–and say that for the purpose of demonstration, we’ll consider this to be the population. Then show the process of selecting a simple random sample.

When a categorical explanatory variable is selected, you can also do a stratified sample. Ask what different between a stratified sample and a simple random sample. (You can turn stratification on and off to see the difference. This will be most obvious when the explanatory variable has very different numbers of points at the different levels.)

NOTE: There’s a StatPREP activity on sampling bias, but it is written in terms of the confidence interval, which has not yet been introduced in this book.

- Activity: Sampling Bias and the Confidence Interval
- Acitivy: Intervention and Prediction

The `Class_survey`

, `Eyeglasses`

, `defects`

, `Tuition`

, `Insurance`

, data frames are available in the Little Apps.

- Activity: Data and Point Plots
- Activity: Shapes of distributions

- Activity: Comparing Two Groups

- Activity: Shapes of distributions
- Activity: Parameters and the Normal Distribution
- ActivityCommon, Uncommon, and Rare

- Activity: What is a Confidence Interval

- Activity: Comparing Two Confidence Intervals
- Activity: Comparing Two Groups

- Activity: Introducing Linear Regression
- Activity: Describing Relationship Patterns in Words and Numbers
- Activity: How much is explained?