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.

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. Learners will estimate the mean...

Teachers can use Smart Exchange to download a SMART Notebook lesson covering the topic of sampling and misleading graphs.

Students learn about the concept of taking a survey by exploring a tutorial. They can then test their knowledge by taking a ten question assessment that increases in difficulty as they correctly answer questions.