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.

There is much literature and curriculum on "ethnomathematics" and "culturally relevant mathematics", but very little in statistics. By using two beloved games in Mexican-American culture, this probability lesson attempts to address this as a way to support diversity, equity, and inclusion for all learners -- especially our Latinx/Hispanic students who have been underserved but who are making up an increasing fraction of the population in modern educational settings.