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

正在开发软件模块，以提高学生在本科专业和服务统计课程的学习。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实际数据。数据分析作业将使学生掌握数据分析的机制和这些课程中介绍的重要概念。对于那些需要在二维或三维以上可视化的概念（例如，多元回归曲面）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）尤其如此。通过使用现代计算技术，学生将更加积极地参与重要统计概念的学习。通过使用精心设计和实现的多种模拟和高分辨率动态图形的组合来说明关键思想，可以为学生提供额外的统计经验，从而增强学习体验。

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.