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
- Types of Studies: A [from 7:36 to 15:58] OR B [8 mins]
- Types of Conclusions [start at 26:37]
- Types of Observational Studies [3 mins]
- Sample Design [from 0:20 to 9:40]
- Experimental Design: A [from 1:21 to 8:47] OR B [from 12:34 to 18:46]
- Definitions in Experimental Design [4 mins]
- Randomization in R [3 mins]
- Response/Explanatory Variables - A [from 1:00 to 2:28] AND B [stop at 6:18]