This example can be used to discuss the potential for bias in the U.S. Census and could also be used to demonstrate critical reading strategies.

Our recent research focuses on integrating Culturally Relevant Data into statistics and data science education. We’ve developed methods that connect coursework directly to students’ lived experiences, significantly enhancing engagement and understanding, particularly for those from historically marginalized groups. Our approach bridges the gap between theoretical data science and real-world application, making learning both accessible and impactful. Initial results from pilot courses are promising, and we are excited about the potential to further transform how data science is taught. Join us in making data science education more inclusive and effective for everyone

This example examines a graph based on FBI data on hate crimes and can be used to teach students about graphical integrity.

From their website, "The Violence Project is a 501(c)(3) nonprofit, nonpartisan research center dedicated to public criminology and data-driven violence prevention."

Resources for statistics educators include...
--graphs of data (https://www.theviolenceproject.org/key-findings/),
--a data base (https://www.theviolenceproject.org/mass-shooter-database/),
--a Methodology page (https://www.theviolenceproject.org/methodology/)

This example asks questions based on a table that summarizes data on three categorical variables. It provides information on relationships among race, level of support for the police, and willingness to report a crime.