Data interpretation is done in two general ways – summarizing outcomes
and decision-making.
Summarizing involves examining key characteristics of data and understanding
how graphed data informs performance of students.
Important to remember that data interpretation requires examination of performance
across time and no single data point can be used alone to interpret outcomes.