By Jon Hasenbank and John Appiah Kubi, Grand Valley State University This article introduces a method for identifying statistically meaningful differences between two data sets using the mean absolute deviation, known as MAD and a measure of variability taught in middle school curricula under the Common Core State Standards, which parallel the recommendations of the Pre-K-12 … [Read more...] about How MAD Must We Be? A Robust Test for Identifying Meaningful Differences Using the Mean Absolute Deviation
data investigations
Making Sense of Data Visualizations: A Toolkit for Supporting Student Discussions
By Emily Thrasher, Hollylynne Lee, Bruce Graham, Matthew Grossman, Gemma Mojica, NC State University This paper explores a comprehensive framework to develop students’ data literacy by guiding them in making sense of complex data visualizations. With the growing complexity and prevalence of data visualizations in media, it’s crucial to equip students with the skills to … [Read more...] about Making Sense of Data Visualizations: A Toolkit for Supporting Student Discussions