Other
University at Albany: Populations and Samples: The Principle of Generalization
This resource explains what generalization is in statistics, its advantages and disadvantages, and problems that can occur, e.g., sample or response bias. Includes detailed examples of sampling error and sample bias.
Illustrative Mathematics
Illustrative Mathematics: S Ic Why Randomize?
The exercise demonstrates that judgment (non-random) samples tend to be biased in the sense that they produce samples that are not balanced with respect to the population characteristics of interest. Students will estimate the mean...
SMART Technologies
Smart: Sampling and Misleading Graphs
Teachers can use Smart Exchange to download a SMART Notebook lesson covering the topic of sampling and misleading graphs.