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TOWARD ASSESSING UNDERSTANDING OF PREREQUISITE KNOWLEDGE FOR SAMPLING DISTRIBUTIONS

机译:评估对采样分布的先决知识的理解

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Sampling distributions play a vital role in understanding how statistical inferences are made, yet students often fail to achieve proficiency in this important topic. The goals of our project are to examine the literature on sampling distributions and concepts that may be prerequisite knowledge for sampling distributions - sampling, variability and distribution, develop an assessment tool that can be used in a timely fashion to provide instructors with feedback on the understanding and misconceptions that students have about sampling distributions and prerequisite concepts, and better understand misconceptions to improve the teaching and learning of basic statistics. We developed new and modified existing assessment items to study the relationship between comprehension of sampling distributions and mastery of each prerequisite area. Open ended questions were refined through a pilot study and we share our experiences in developing items.
机译:采样分布在了解统计推论方面发挥着至关重要的作用,但学生往往无法实现这一重要主题的熟练程度。我们项目的目标是研究采样分布的文献和对采样分布的先修知识进行采样分布和概念 - 采样,可变性和分配,开发一种评估工具,可以及时使用,为教师提供有关理解的反馈和误解的是学生对抽样分布和先决条件概念,更好地了解误解,以改善基本统计的教学和学习。我们开发了新的和修改了现有的评估项目,以研究对采样分布的理解与每个先决条件的掌握之间的关系。开放式最终问题通过试点研究,我们在开发项目中分享了我们的经验。

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