Lesson 3: 4.3 Sampling and Surveys
Duration of Days: 2
Lesson Objective
Students will be able to describe how to select a Simple Random Sample (SRS) and other random sampling methods (Stratified, Cluster, Systematic).
1. What does it mean for everyone to have an "equal chance" of being picked?
2. When is it better to group people by a characteristic (like grade level) before picking them?
Simple Random Sample (SRS)
Stratified Random Sample
Cluster Sample
Systematic Random Sample
Strata vs. Clusters
HSS-IC.B.3: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
Students must identify a Simple Random Sample as the "gold standard" for eliminating bias.
This is the "How-To" of good data. It introduces the technical methods of randomization.
The Problem: A school wants to survey 100 students. They pick 25 students at random from each of the four grade levels (FR, SO, JR, SR).
Task: Identify the sampling method used. Why might the school choose this over a Simple Random Sample?
Strata vs. Cluster: Students mix these up. Remember: Strata = "Some from all groups" (homogeneous groups). Clusters = "All from some groups" (heterogeneous groups).
For students who want a more thorough discussion of surveys, have them research about good survey design and see what they come up with.
Teacher assigns examples from the textbook and other resources.
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