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

开发现代计算和基于图形的方法来教授本科统计课程中的重要概念

• 批准号: 9250829
• 负责人: William Meeker
• 金额: $ 5.5万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-07-15 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9250829&HistoricalAwards=false
• 关键词: Developing; Modern; Computing; Graphics; Based

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.

正在开发的软件模块将提高学生 在本科专业和服务统计课程中学习。 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 现实的数据。 数据分析任务将使 学生掌握数据分析的力学和 这些课程中介绍的重要概念。 这 对于需要可视化的概念， 多于二维或三维（例如，多元回归 表面）或需要超越数学的理论 学生的能力（例如，大样本近似 抽样分布）。 通过使用现代计算技术， 学生会更积极地参与学习 重要的统计概念。 学习经验可以 通过为学生提供额外的统计数据来增强 通过使用精心设计的组合， 实现了多个模拟和高分辨率动态 图表来说明关键思想。