Curricular Guide: Statistics Using Technology, Kozak, 3rd Edition

The book is online and available here.

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

Chapter 1: Statistical Basics

The Sugar data frame is available in the Little Apps.

§1.1: Sampling Methods

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.

Chapter 2: Graphical Descriptions of Data

The Class_survey, Eyeglasses, defects, Tuition, Insurance, data frames are available in the Little Apps.

Chapter 3: Numerical Descriptions of Data

Chapter 4: Probability

Chapter 5: Discrete Probability Distributions

Chapter 6: Continuous Probability Distributions

Chapter 7: One-Sample Inference

Chapter 8: Estimation

Chapter 9: Two-Sample Inference

Chapter 10: Regression and Correlation

Chapter 11: Chi-square and ANOVA tests