Course Outline

list High School / Advanced Statistics and Data Science I (ABC)

Book
  • High School / Advanced Statistics and Data Science I (ABC)
  • High School / Statistics and Data Science I (AB)
  • High School / Statistics and Data Science II (XCD)
  • High School / Algebra + Data Science (G)
  • College / Introductory Statistics with R (ABC)
  • College / Advanced Statistics with R (ABCD)
  • College / Accelerated Statistics with R (XCD)
  • CKHub: Jupyter made easy

Part II: Modeling Variation

In this section of the course we develop the concept of statistical model. We start with the simplest model, sometimes called the “empty model.” From there we move to more complex models.

We create statistical models in order to:

  • Explain variation in an outcome variable using one or more explanatory variables, and to better understand the Data Generating Process;

  • Predict the values of future observations, or samples;

  • Guide changes we can make to improve the outcomes of the system we are studying.

Responses