论文标题
将视觉推论带到教室
Bringing Visual Inference to the Classroom
论文作者
论文摘要
在课堂上，我们传统上使用静态图形或交互式应用程序可视化推论概念。例如，使用应用程序可视化采样分布的历史悠久。统计图形方面的最新发展创造了一个机会，将更多的可视化介绍到教室中，以磨练学生的理解。具体而言，视觉推理的阵容协议为学生提供了一个框架，通过将观察到的数据嵌入到空图（噪声）图中，可以看到信号和噪声之间的差异。事实证明，阵容在可视化随机化/置换测试，诊断模型，甚至在分布假设分解时进行有效的推断很有价值。本文概述了如何将视觉推理的阵容协议用于磨练整个统计课程中关键统计主题的理解。
In the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions. Recent developments in statistical graphics have created an opportunity to bring additional visualizations into the classroom to hone student understanding. Specifically, the lineup protocol for visual inference provides a framework for students see the difference between signal and noise by embedding a plot of observed data in a field of null (noise) plots. Lineups have proven valuable in visualizing randomization/permutation tests, diagnosing models, and even conducting valid inference when distributional assumptions break down. This paper provides an overview of how the lineup protocol for visual inference can be used to hone understanding of key statistical topics throughout the statistics curricula.
