## 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 - Models with a Quantitative Explanatory Variable
• segmentPART III: EVALUATING MODELS
• segmentChapter 9 - The Logic of Inference
• segmentChapter 10 - Model Comparison with F
• segmentChapter 11 - Parameter Estimation and Confidence Intervals
• segmentPART IV: MULTIVARIATE MODELS
• segmentChapter 12 - Introduction to Multivariate Models
• segmentChapter 13 - Multivariate Model Comparisons
• segmentFinishing Up (Don't Skip This Part!)
• segmentResources

### list College / Advanced Statistics and Data Science (ABCD)

Book
• High School / Statistics and Data Science I (AB)
• College / Statistics and Data Science (ABC)
• High School / Advanced Statistics and Data Science I (ABC)
• College / Advanced Statistics and Data Science (ABCD)
• High School / Statistics and Data Science II (XCD)

CourseKata Statistics is part of the Better Book Project, a project of the Teaching and Learning Lab at the UCLA Department of Psychology. The goal of the project is not only to create high quality online interactive textbooks, but also to use student-generated data as a means of continuously improving the effectiveness of the textbook. As you work through the book, you will answer a number of questions and complete many R coding exercises. You might also use a Jupyter coding environment and submit notebooks. Your responses are saved in a database and used for improvement.

## During the Course

During the course, your data are available only to you and your instructor. When you come back to a page that you have completed, you can see how you answered the questions previously because we save your responses. You can see your progress on the My Progress page (inside the My CourseKata folder at the top of the course). Your instructor can see your progress as well and can look at your responses as you work through the book.

## After You Complete the Course

After you complete the course, all student-generated data is de-identified and made available to researchers who are working to improve the quality of the book. What this means is that the data are stripped of information that could be used to identify you, such as your name or email address. This de-identified data is used to improve the course and improve our theories of learning.

Although the data are de-identified before being shared with researchers, a secret key is maintained on a separate server that allows us to link additional data to the data generated through interactions with the book. For example, your instructor might provide the CourseKata team with your grade on the final exam, or for the course. Rest assured that once these data are integrated with your other data, they also are stripped of your name or any other identifying information.

Only researchers who sign our data sharing agreement are allowed to access the data. If they find any information in the data that could be used to identify an individual student, they agree to delete it immediately and contact the CourseKata team, who will delete such information permanently from the database.

Other than the use outlined above, we will never share your data with anyone, and will always protect the confidentiality of your data. If you have any questions about your data and how it is used, feel free to contact us at: coursekata@gmail.com.

## If You Wish to Opt Out

We are grateful for your willingness to share your de-identified data with researchers working to improve this course.