By Mark Louie Ramos, The Pennsylvania State University The idea that randomness is relative to the observer is a critical concept in statistical estimation and inference, but it is not typically discussed in K-12 statistics classes, nor in basic undergraduate statistics courses for nonstatistics majors. It is argued that prominently including this concept in statistical … [Read more...] about On the Pedagogy of Randomness: Effectively Teaching How Random Is Relative in High School
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Some Paradoxes: Puzzling or Poorly Presented?
By Mark Milanick, University of Missouri, Columbia; Isabella Wiebelt-Smith, Swarthmore College; and William Y. Jin, Swarthmore College 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. These paradoxes, often … [Read more...] about Some Paradoxes: Puzzling or Poorly Presented?
ASA/NCTM Joint Committee Members Share Favorite Resources, Ideas
Data-Driven Minds: Prepping Students for a Smarter Future How can teachers design data-centered classrooms to empower their students? What strategies and tools can help increase data literacy and data science in K–12 education? How do teachers bring a focus to data-centered instruction in their math classrooms? How can data science be related to music and cooking? These … [Read more...] about ASA/NCTM Joint Committee Members Share Favorite Resources, Ideas
Lesson Plan: Educational Level Implications on Careers in Statistics (ELICS) for Undergraduate Students
By Christina M. Wood-Wentz, Mayo Clinic, and Heather Cook, University of Southern Indiana Overview of Lesson 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 … [Read more...] about Lesson Plan: Educational Level Implications on Careers in Statistics (ELICS) for Undergraduate Students
ASA/NCTM Joint Committee Members Share Favorite Resources
By Angela Walmsley, Mine Dogucu, Susan A. Peters, and Hollylynne Lee Preparing Pre-K–12 Teachers to Teach Statistics I often hear high school teachers tell me they never took a statistics class while earning their undergraduate degree. When they are approached by their high school principal to teach a statistics class, they sometimes aren't sure where to start. I hear the … [Read more...] about ASA/NCTM Joint Committee Members Share Favorite Resources
Lesson Plan: Human vs. Machine: Unveiling Randomness with Data Visualization and Stats
By Venessa N. Singhroy and Rommel Robertson, Queensborough Community College Overview of Lesson Students will learn about the concept of randomness and see how human decision-making contrasts with computer-generated choices. They will also explore the law of large numbers through graphs and be exposed to the Chi Square Goodness-of-Fit test. This lesson also incorporates … [Read more...] about Lesson Plan: Human vs. Machine: Unveiling Randomness with Data Visualization and Stats
Lesson Plan: Association Between Gender and Sport Watching Preference?
By Courtney Rubio, Barrow Arts and Sciences Academy Overview of Lesson Is there an association between gender and the sports students prefer to watch? This activity allows students to analyze data provided in a two-way table using one or more of the following methods: a chi-square test of independence, relative frequencies, segmented bar graph, mosaic plot, or bar chart. … [Read more...] about Lesson Plan: Association Between Gender and Sport Watching Preference?
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
Encouraging Equitable Participation in Ethical Data Science Discussions
By Jordan T. Register, University of North Carolina at Charlotte This paper examines the instructional strategies and pedagogical moves designed to foster equitable engagement in an ethical data science course. This course, developed to explore the intersection of data science, ethics, and sociopolitical awareness, aims to prepare students from diverse backgrounds to become … [Read more...] about Encouraging Equitable Participation in Ethical Data Science Discussions
Statistics, Data Science Education: Key for Future of High School Mathematics
By Latrenda Knighten and Kevin Dykema, National Council of Teachers of Mathematics The National Council of Teachers of Mathematics, in conjunction with the Association of State Supervisors of Mathematics and NCSM leadership in mathematics education, recently released High School Mathematics Reimagined Revitalized and Relevant, which focuses on the need to shape the future of … [Read more...] about Statistics, Data Science Education: Key for Future of High School Mathematics