The informal inference construct refers to students' emerging competence to make inferences by reasoning about distribution and variation. As inference inevitably involves comparison to a standard or expectation, we often use examples involving inferences about differences between two distributions.

Because both distributions are visible to students, this approach to inference is likely to be a more natural entrée for novices than the conventional approach of modeling population parameters of a single distribution.