Statistical analyses rely on data and that data must be properly produced (or collected). This module explores the differences in structure and conclusions that can be made from the two major types of studies and briefly describes key definitions and concepts for each.
After completing this module, you should be able to ...
- Identify major differences between data produced from experiments and observational studies.
- Understand basic ideas of simple random experiments with one and two factors.
- Describe the principles of experimental design.
- Describe the principles of observational studies.
- Understand basic ideas of designing simple observational studies, and
- Explain the importance of randomization in both experiments and observational studies.
- Identify the response and explanatory variable in bivariate relationships.
Preparation for Class
Use the resources below to answer these questions. [Problems with videos?]
- Primary Resources (9 pages, 52 mins)
- Reading
Types of Observational Studies [3 mins] … corresponding slides- Definitions in Experimental Design [4 mins] … corresponding slides
- Randomization in R [3 mins] … corresponding resource
- Fall 2020B In-Class “Review Lecture” [42 mins]
- Secondary Resources
Types of Studies [8 mins from 7:36 to 15:58]- Types of Conclusions [3 mins start at 26:37]
- Sample Design [9 mins from 0:20 to 9:40]
- Experimental Design [7 mins from 1:21 to 8:47]
- Response/Explanatory Variables I [1 min from 1:00 to 2:28]
- Response/Explanatory Variables II [2 mins from 0:32 to 2:34]
Practice
Archive
- Preparation Resources
- Types of Studies: [8 mins]
- Experimental Design [from 12:34 to 18:46]
- Response/Explanatory Variables III [6 mins stop at 6:18]
- Exercises