SBIR Phase II: Web-Based Urn Sampler and Statistical Authoring Environment

这项小型企业创新研究(SBIR)第二阶段计划将制作以统计中的模拟/重抽样方法为核心的软件(骨灰盒采样器)为特色的网络课程，该方法侧重于制定统计测试的过程。本课程还将包括统计文本(Stout、Marden和Traver著的《统计学：理解数据》)、自我评估工具、“虚拟教授”帮助系统、“虚拟统计咨询实验室”和基于入门级电子表格的统计软件。目标市场是学习统计学入门课程的学生，他们会像现在购买课本一样购买产品。该课程旨在利用最新和最标准的网络技术，这些技术预计将在项目开发阶段结束时到位。该计划将基于网络的结构的力量与新的重新抽样技术相结合，为统计学专业的学生创造一个独特的学习环境。骨灰盒采样器将是一个开放和灵活的实验室工具，允许教师创建练习来补充课堂讲课和其他课程材料。它将使教授新的计算密集型重抽样方法变得容易，这些方法已被证明在教学统计推理方面取得了成功。它面向不同的受众，包括修读定量推理或统计学必修课的本科生和研究生，主修或辅修统计学的本科生，以及学习统计学的研究生和继续教育的学生。额外的产品销售将来自学生购买部分网络产品，这些学生的教师采用了Stout等人以外的文本。文本。

This Small Business Innovation Research (SBIR) Phase II project will create web-based courseware featuring software (the "Urn Sampler") built around the simulation/resampling method in statistics which focuses on the process of formulating a statistical test. This courseware will also feature a statistics text (Statistics: Making Sense of Data by Stout, Marden and Travers), self-assessment tools, a "Virtual Professor" help system, a "Virtual Statistics Consulting Lab," and entry-level spreadsheet-based statistical software. The target market is students in introductory statistics courses, who will purchase the product just as they now purchase texts. The courseware aims to leverage the latest and most standard web technologies that are anticipated to be in place at the conclusion of the project's development phase.The plan combines the power of a web-based structure with the new resampling techniques to create a unique learning environment for statistics students. The Urn Sampler will be an open and flexible lab tool that will let teachers create exercises to supplement class lectures and other course materials. It will make it easy to teach the new compute-intensive resampling methods that have proven successful in teaching statistical inference. It addresses a diverse audience, including undergraduate and graduate students taking a required course in quantitative reasoning or statistics, students taking an undergraduate major or minor in statistics, and graduate students studying statistics and continuing education students. Additional product sales will come through purchases of parts of the web product by students whose instructors have adopted a text other than the Stout, et al. text.