Data Aggregator

Sub Trajectory: Data

Classifies objects that may be perceptually different by more abstract attributes such as function or conceptual attributes. Focuses on features of the data set as a whole. Uses to describe relative frequency and density (shape), and location (centers). Begins to understand the concepts of expectation (averages and probabilities) and variation (“spread” of values).

Understands ranges in data or the mode (the number that occurs most frequently). Eventually, can focus on features of the data set as a whole, including the relative frequencies, density (“shape”), and location (centers, such as the mean).


You may see this:

Linked Image to Sign In/Sign Up page

Other Examples:

  • Reacting to a graph of the number of years families have lived in a town: “Look at that clump. Most families have lived here 1 to 6 years.” “How many?” “It’s 11 families out of 23 – almost half.”


Help your student become a(n) Data Aggregator

Special Thanks To

Institute of Education Sciences
The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through grant numbers R305K050157, R305A120813, R305A110188, and R305A150243. to the University of Denver. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.