course / HNK

Data literacy is the ability to say what a number cannot mean.

Students practice reading claims, units, missing context, and the difference between a pattern and a story.

A number is a claim with a unit hiding in it

Data sense at HNK is the habit of saying what a generated number cannot mean. Students practice locating the unit, the comparison class, the missing sample, and the leap from a pattern to a cause. The artifact is a short “number card”: figure, unit, comparison, missing context, allowed conclusion, forbidden conclusion.

Teaching figure (not a measurement from this school). A generator writes “accuracy 97%”.

Unit: percent of what. Comparison: against which baseline. Missing: dataset, error type, who labeled the answers. Allowed: “the model reported 97% without a denominator.” Forbidden: “the student has 97% mastery.”

HNK does not publish student performance statistics on this site. A teaching figure is labeled as such. Write info@hnk.org to discuss the track; do not send markbooks.