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Tools for Teaching and Assessing Statistical Inference

统计推断的教学和评估工具

基本信息

批准号：
9752523
负责人：
Joan Garfield
金额：
$ 10万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1998
资助国家：
美国
起止时间：
1998-02-01 至 2000-10-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9752523&HistoricalAwards=false
关键词：
Tools Teaching Assessing Statistical Inference

项目摘要

Much of statistical reasoning involves combining ideas of data and chance to carry out inferential procedures and interpret results. Underlying this reasoning is a conceptual understanding of some important ideas, such as probability, variability, samples, sampling distributions, and the normal distribution. Although statistics courses teach this content, students are often unable to fully integrate and apply these ideas when reasoning about real statistical problems or when interpreting the results of research investigations. This project will develop and disseminate materials that help students learn the core concepts underlying statistical inference. Specifically, we will create instructional modules that use simulation software to help students develop abstract concepts such as sampling distribution, confidence interval, p-values, and power. Based on our previous research, we will build the modules on a model of conceptual change, where students first make predictions and then test them, using the simulation software. These modules will also include assessment instruments to assess prerequisite conceptual knowledge and instruments to assess understanding of the statistical concepts underlying statistical inference. All materials (including our simulation software programs) will be made available to statistics educators on the World Wide Web.

许多统计推理都涉及将数据和机会的想法结合起来，以执行推理程序并解释结果。这种推理的基础是对一些重要概念的概念性理解，如概率、变异性、样本、抽样分布和正态分布。虽然统计学课程教授这些内容，但学生在推理真实的统计问题或解释研究调查结果时，往往无法充分整合和应用这些思想。这个项目将开发和传播材料，帮助学生学习统计推断的核心概念。具体来说，我们将创建教学模块，使用模拟软件来帮助学生开发抽象概念，如抽样分布，置信区间，p值和功率。根据我们以前的研究，我们将建立一个概念变化的模型，学生首先作出预测，然后测试他们，使用模拟软件的模块。这些单元还将包括评估先决概念知识的评估工具和评估对统计推断所依据的统计概念的理解的工具。所有材料（包括我们的模拟软件程序）将在万维网上提供给统计教育工作者。