Course Outline
-
segmentGetting Started (Don't Skip This Part)
-
segmentStatistics and Data Science: A Modeling Approach
-
About CourseKata and Your Data
-
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
-
segmentChapter 13 - What You Have Learned
-
segmentFinishing Up (Don't Skip This Part!)
-
segmentResources
list High School / Advanced Statistics and Data Science I (ABC)
About CourseKata and Your Data
CourseKata was founded in 2017 by a group of learning scientists at UCLA and Cal State LA with a shared interest in understanding and improving how students learn things that are hard to learn. 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 different exercises. You might also use a Jupyter coding environment (CKHub) 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, your instructor, and our support staff. 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 (including third-party researchers not directly affiliated with CourseKata) who are working to improve the quality of the book or who are undertaking other educational or scholarly initiatives. 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, we take great lengths to ensure 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: info@coursekata.org.
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.
NOTE: You may come back to this page and change your answer at any time through the end of the course.