How MAD Must We Be? A Robust Test for Identifying Meaningful Differences Using the Mean Absolute Deviation
This article introduces a method for identifying statistically meaningful differences between two data sets using the mean absolute deviation.
This article introduces a method for identifying statistically meaningful differences between two data sets using the mean absolute deviation.
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.
A roundup of statistics and education-related information, deadlines, and opportunities.
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.
Stats&DataNet is a year-long professional learning effort organized by the Joint Committee of the American Statistical Association and National Council of Teachers of Mathematics.
The National Council of Teachers of Mathematics (NCTM) addresses critical topics in math education through recent position statements on culture, data science, AI in teaching, and bridging research with practice.
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.
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