Course Outline

segmentGetting Started (Don't Skip This Part)

segmentStatistics and Data Science: A Modeling Approach

segmentPART I: EXPLORING VARIATION

segmentChapter 1  Welcome to Statistics: A Modeling Approach

segmentChapter 2  Understanding Data

segmentChapter 3  Examining Distributions

segmentChapter 4  Explaining Variation

segmentPART II: MODELING VARIATION

segmentChapter 5  A Simple Model

segmentChapter 6  Quantifying Error

segmentChapter 7  Adding an Explanatory Variable to the Model

segmentChapter 8  Digging Deeper into Group Models

segmentChapter 9  Models with a Quantitative Explanatory Variable

segmentPART III: EVALUATING MODELS

segmentChapter 10  The Logic of Inference

segmentChapter 11  Model Comparison with F

segmentChapter 12  Parameter Estimation and Confidence Intervals

segmentFinishing Up (Don't Skip This Part!)

segmentResources
list High School / Advanced Statistics and Data Science I (ABC)
1.6 Goals of This Course
Well, we didn’t even let you get through the introduction without doing some actual R coding! Doing and thinking—these are the main things you should be filling your time with as you go through this course. Doing without thinking would reduce you to just rote memorization of procedures. Thinking without doing would be awfully boring—you would miss the exciting part!
Our goals for this course are as follows:
First, to learn how to analyze data, using R. We want you to end up well on your way to being truly competent with data.
Second, to understand the core concepts of the domain of statistics—the ideas that will help you make sense of the analyses you produce.
Third, to prepare you to learn more about statistics in the future. Statistics is a big field. Knowing a little is still useful, but you should feel ready to keep learning after you finish this course.
It’s Not About Memorizing R Code
Even though you will learn a lot about R, there are literally thousands of functions in R, more than anyone could remember. Even advanced users of R can’t remember it all.
As you go through the textbook, you may find it helpful to keep track of new R functions in a notebook. We’ve also provided an R Cheatsheet that you can mark up as you go through the course. It has all the commands we use in this course organized on two pages. You should download it from the list below and keep it handy.
Download the R Cheatsheet Now
The cheatsheet is a little different for each version of the book. The version of the book you have is ABC, so choose that one from the list below. Cheatsheets are available in both PDF and Word doc format (in case you want to modify the cheatsheet):
 AB
 ABC
 ABCD
 XCD
And you aren’t limited to the R functions we teach you. You can always search on the internet ways of doing different things in R. Not only will you find some new functions, but you’ll also find endless discussions about which ones are better than others. Oh, what fun!