Stratified Sampling Methods

Published

March 20, 2023

Learning Objectives

By the end of the week, learners will be able to:

  • Compare and contrast a SRS from Stratified sampling design
    • Identify correct estimates, errors and bounds for various parameters
    • Calculate estimates (point and interval) using equations

How to prepare

Content Notes & Readings

Monday overview

  • What is Stratified Sampling (Lohr 3.1)

Wednesday overview

  • Theory & Weights (Lohr 3.2, 3.3)

Friday overview

  • Exercises

To Do

  • Submit personal notes for both sections.
    • Contribute shared notes or exercises to Hack MD
    • End of Chapter exercises
    • Submit end of week feedback to Dr. D