Mount Hoyoke College
South Hadley, MA
This report describes four kinds of understanding that students rely on in statistics--logical/deductive, computational/algorithmic, graphical/dynamic, and verbal/interpretive. These kinds of understanding will be illustrated, as will four unifying themes (production, exploration, repetition, and inference) that instructors can use to give students a better sense of the subject of statistics as a structured whole. Structured concept maps will also be illustrated, as will four topics (transforming, adjusting, blocking, and crossing/interaction) that are often missing in introductory statistics courses.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education