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(528) ASSESSING PROSPECTIVE HIGH SCHOOL TEACHERS’ UNDERSTANDING OF STATISTICAL HYPOTHESES

机译:(528)评估前瞻性高中教师对统计假设的理解

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In spite that statistical tests are widely used in research, its interpretation and application have been discussed in the past 50 years. An explanation of this paradox is that statistical tests are difficult, because performing these tests requires students to understand and be able to relate many abstract concepts such as those of parameter and statistics, sampling distribution, significance level, null and alternative hypotheses, and p?volue. Most previous research on this topic deals with understanding the concepts of level of significance and !?!"#$%& and has described many related misconceptions. However, there is also confusion between the roles of null and alternative hypotheses; other students state their hypotheses in terms of the sample statistics (for example, the sample mean) instead of using the parameter (the sample population), set non complementary hypotheses or else the hypotheses do not cover the parametric space. Statistical tests have been included in the Spanish high school curriculum periodically, as well as in the test that are compulsory for students to enter University (University Entrance Tests, UET). Moreover a basic knowledge of this topic as well as elementary competence in solving simple tests problems are important for high school teachers, since results of applying statistical tests often appear in educational research papers. Taking into account these considerations, the aim of this research was assessing prospective high school teachers’ understanding of hypotheses in statistical tests. In this paper we describe the responses to an open-ended problem, similar to those proposed at the entrance to university tests for high school students in the past years. The sample consists of 73 students preparing to become secondary and high school mathematics teacher. The results show that, although the majority of students provided correct hypotheses, only part of them established the correct critical region consistently with the established hypotheses and correctly finished the whole procedure. Consequently, it is important to improve the preparation of prospective and in-service teachers in this topic.
机译:尽管统计测试广泛用于研究,其解释和应用已经在过去的50年中讨论过。这个悖论的解释是统计测试很困难,因为执行这些测试需要学生理解并能够与参数和统计数据,采样分布,意义水平,空和替代假设等许多抽象概念相关,以及P?电量。最前面的关于这一主题的研究涉及了解意义程度和!?!“$%&&曾描述了许多相关的误解。然而,无效和替代假设的角色之间也存在混淆;其他学生陈述他们的角色在样本统计(例如,样本均值)而不是使用参数(样本群体),设置非互补假设,或者假设不覆盖参数空间。统计测试已包含在西班牙语高中学校课程定期,以及对学生进入大学的强制性的考验(UP入学考试,UET)。此外,这一主题的基本知识以及对高中教师来说都很重要,这是对高中教师的重要知识,由于应用统计测试的结果通常出现在教育研究论文中。考虑到这些考虑因素,这项研究的目的是根据评估前瞻性高中教师对统计检验中的假设的理解。在本文中,我们描述了对开放式问题的回答,类似于过去几年高中生大学考试入口处的人。该样本由73名学生组成,准备成为中学和高中数学老师。结果表明,虽然大多数学生提供了正确的假设,但其中只有一部分与所建立的假设一致地建立了正确的关键区域,并正确完成了整个过程。因此,在本主题中改进准备潜在教师的准备是重要的。

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