8.27: Introduction and Study Design

Agenda

  1. Pre-course Assessment
  2. Study Design
  3. Application Exercise (time permitting)
  4. Syllabus

Learning Objectives

By the end of this class session, students should be able to:

  • Describe the difference between, and pros and cons of, simple random sampling, stratified sampling, and cluster sampling

  • Apply the different sampling schemes in R

  • Identify course components, policies, and resources

Pre-course Assessment

Select the option that corresponds to both your answer and your confidence in that answer.

Link to assessment

Study Design

Link to slides

Reference for lecture material that may be helpful for additional reading: https://openintro-ims.netlify.app/data-design

Application Exercise

Go to the exercises at the bottom of this page

In your groups, discuss exercises 3, 9, and 11

Syllabus

Link to slides