Editor’s Note: Spring 2025
The editors share one article, one lesson plan, and three highlights from the ASA-NCTM Joint Committee on K-12 Education in Statistics and Probability.
Spring 2025 Announcements
A roundup of statistics and education-related information, deadlines, and opportunities.
ASA/NCTM Joint Committee Members Share Favorite Resources
Discover resources for teaching statistics and data science: Statistics Teacher; Stats&DataNet; Beyond AP Statistics; real-world examples; and the Common Online Data Analysis Platform.
Human vs. Machine: Unveiling Randomness with Data Visualization and Stats
Students will learn about the concept of randomness and see how human decision-making contrasts with computer-generated choices.
Association Between Gender and Sport Watching Preference?
This lesson explores the relationship between gender and sports preferences using data from a two-way table. Students will analyze the data with methods like chi-square tests, bar graphs, and mosaic plots, using Stapplet for the analysis.
Editors’ Note: Fall 2024
The editors say farewell to Managing Editor Christine Franklin, and welcome Kaycie Maddox as the new ASA K-12 Statistical Outreach Coordinator. They also share three articles, one lesson plan, and three highlights from the ASA-NCTM Joint Committee on K-12 Education in Statistics and Probability.
Statistics, Data Science Education: Key for Future of High School Mathematics
NCTM’s High School Mathematics Reimagined calls for fresh, relevant ways to teach math, focusing on real-world problem-solving and critical thinking. It emphasizes the importance of fostering critical thinking, statistical reasoning, and mathematical modeling to help students connect what they learn in the classroom to the real world.
ASA/NCTM Joint Committee Members Share Favorite Resources
Discover resources for teaching statistics and data science: Against All Odds, Census at School, and InSTEP.
Encouraging Equitable Participation in Ethical Data Science Discussions
Jordan T. Register of the University of North Carolina at Charlotte examines the instructional strategies and pedagogical moves designed to foster equitable engagement in an ethical data science course.
Making Sense of Data Visualizations: A Toolkit for Supporting Student Discussions
Advanced data visualizations are changing how we share information, making complex data easier to understand and more engaging. The authors created a simple framework with three steps—exploring the context, understanding the visualization, and connecting it to personal experiences—to help students make sense of these visuals.
