Data Modeling
  • Constructs

  • Theory of Measurement

  • Data Displays

  • Meta-Repr. Competence

  • Conceptions of Statistics

  • Chance

  • Modeling of Variability

  • Informal Inference

  • Lessons

  • (1) Inventing Displays

  • (2) Inventing Center

  • (3) Inventing Precision

  • (4) Exploring Generalization

  • (5) Investigating Chance

  • (6) Modeling Measurements

  • (7) Making Inferences in Light of Uncertainty

Informal Inference Level 3
Informal Inference

3

Particular cases or values, including sample statistics, guide inference without reference to the likely variability of these values.


Performances

3A Believe that subsequent observations will approximate aspects of the current observation; make predictions based on approximation of specific values (eg maximum, mean, cut-point, range) of the current observation.

3B Compare two distributions based on specific values (eg the maximum, mean, or the number of cases above a certain cut-point.)

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