|
Abstract:
|
Through interactive visualization tools, we provide several examples of activities that focus on core statistical issues that are often challenging to teach with traditional textbooks, such as working with messy data, data relevance and reliability. We have created lab activities that engage students in multivariate thinking that feels like a true research activity at both the introductory and advanced levels. One example uses the NYPD stop-and-frisk data sets which shows patterns in how police stop and question any individual they find suspicious. In recent years, the New York Police Department has been under fire for allegedly discriminating against certain races. These materials challenge students to think carefully about collecting data, cleaning data, appropriate model building, assessment, and effectively communicating their results.
|
