Editors’ Note: Fall 2025
The editors share four articles, three lesson plans, and two resources from the ASA-NCTM Joint Committee on K-12 Education in Statistics and Probability.
The editors share four articles, three lesson plans, and two resources from the ASA-NCTM Joint Committee on K-12 Education in Statistics and Probability.
Joshua Sawyer, NCTM/ASA Joint Committee on K–12 Education on Statistics and Probability chair, suggests the July episode of Adding It All Up, while AnnMarie Cunningham of Pueblo West High School proposes hallway collaboration.
This article explores the use of statistical paradoxes—specifically the Will Rogers Phenomenon, Simpson’s Paradox, False Positive Paradox, and the Birthday Problem—as teaching tools for middle and high school students.
This paper offers a model for integrating accessible, equity-minded data science activities into informal learning programs.
The idea that randomness is relative to the observer is a critical concept in statistical estimation and inference, but prominently including this concept in statistical education pedagogy is important to support practical comprehension on why and how statistical tools work.
This lesson provides nontraditional data for students to explore with an emphasis on statistical questions used at each of the four phases of the framework for statistical reasoning outlined in the Guidelines for Assessment in Statistics Education (GAISE) II. The use of secondary data on the habitats of lizards combined with posing questions will strengthen the opportunity for students to think and reason statistically.
This lesson provides a secondary data set for students to explore to develop understanding of classification, a data science concept, using accessible technology called CODAP.
This career survey course activity is designed to expose undergraduate students to the implications for education level choice and help them plot an educational course that aligns with their work goals. After performing this activity, students will understand how to find and evaluate salary data and job requirements.
This set of activities allows students to analyze data from graphs created with sticky notes. The statistical question is, "Do students improve their estimates with repeated estimation experiences?”
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