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.
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.
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.
Discover resources for teaching statistics and data science: Against All Odds, Census at School, and InSTEP.
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.
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.
A roundup of statistics and education-related information, deadlines, and opportunities.
Pictures, sounds, and text are all considered data. How can these types of data be incorporated into the school curriculum to better prepare students for today’s societal needs? The authors introduced a data science investigation that uses pictures as data in their middle and high school classes to find out.
Is screen time beneficial or harmful? In this lesson, students will learn how to collect data on the hours they spend on their smartphones and represent it visually. They will also explore a correlation analysis between the two quantitative variables of hours of screen time and number of notifications.
A roundup of statistics and education-related information, deadlines, and opportunities.
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