Developing Modern Computing and Graphics-Based Methods for Teaching Important Concepts in Undergraduate Statistics Courses

正在开发软件模块，这些模块将改善学生在本科专业和服务统计课程中的学习。通过这些模块，学生可以使用现代商业统计软件和计算设备来分析真实的数据。数据分析作业将使学生掌握数据分析的技巧以及在这些课程中引入的重要概念。对于需要在多于两维或三维(例如，多个回归曲面)中可视化或需要超出学生数学能力的理论(例如，大样本近似抽样分布)的概念而言，情况尤其如此。通过使用现代计算机技术，学生将更加积极地参与学习重要的统计概念。通过使用精心设计和实施的多个模拟和高分辨率动态图形的组合来说明关键思想，为学生提供额外的统计体验，可以增强学习体验。

Software modules are being developed which will improve student learning in undergraduate major and service statistics courses. With these modules, students can use modern commercial statistical software and computing equipment to analyze realistic data. The data analysis assignments will enable students to master the mechanics of data analysis and the important concepts that are introduced in these courses. This is particularly so for concepts that require visualizing in more than two or three dimensions (e.g., multiple regression surfaces) or that require theory beyond the mathematical abilities of the students (e.g., large-sample approximate sampling distributions). By using modern computing technology, the students will become more actively involved in the learning of important statistical concepts. The learning experience can be enhanced by giving students additional statistical experiences by using combinations of carefully designed and implemented multiple simulations and high-resolution dynamic graphics to illustrate key ideas.