The goal of the GAISE: Pre-K–12 Report is statistical literacy for all. But statistical literacy is not achievable unless students understand why they personally need to learn statistics. Fake news and the COVID-19 pandemic are two subjects that are relevant and concrete for students.
This lesson allows students to explore whether intrinsic (self-motivation) or extrinsic (physical) rewards are a better motivator for best results on a creativity assessment. Student-generated data will be created through different classes completing a task of trying to write the most English words they can out of the phrase “Statistics is fun.”
In today’s rapidly changing world, the integration of AI-based technologies like ChatGPT into education has sparked an ongoing debate between teachers and students. Many educators worry using AI-driven tools for learning may lead to laziness in students and discourage them from conducting their own research.
A roundup of statistics and education-related information, deadlines, and opportunities.
Statistics Teacher editor Christine Franklin introduces new editors Trena Wilkerson, Jennifer Green, and Charlotte Bolch.
Michael Hansen has taught AP Statistics for 25 years and high-school computer science for about 13 years. This summer, he used ChatGPT to help him write a Python application of about 3,000 lines. Here are his top 10 takeaways from that experience.
Statistics in Schools has a large offering of materials for K–12 students—from standards-based activities to five-minute challenges to fun facts handouts. These resources can help you prepare for the remainder of the year while encouraging statistical literacy with real-life data.
In this lesson, students will practice data collection through simulation, performing estimation, and providing support for or against a claim.
Statistics Teacher editors Jessica Cohen, Catherine Case, and Charlotte Bolch provide an overview of the articles in this issue.
In this lesson, students will draw simple random samples; calculate sample proportions; construct histograms; and compare sampling distributions' shape, mean, and variability.
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