Analysis of College Students’ Difficulties in Mathematics Education of the Class 2013 in Sembilanbelas November University in Solving the Problem of One-Way Analysis of Variances (One Way Anova) on Applied Statistics Course

S. Supratman, H. Herlina
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Abstract

Statistic is one of the branches of applied mathematical science developed by Karl Pearson (1857-1936). Applied statistic is the study of the application of statistical use. Many students think that applied statistic course are difficult, which can only mastered by smart students. Even the students’ anxiety arises every time they are dealing with the applied statistic course. This anxiety due to the acquisition of applied statistic value is generally lower compared to the acquisition of the other course’s value, it is seen that many students who have not been able to solve the problem related to the analysis of one-way varience (One-Way Anova).  This research is done to identify, recognize, analyze, then got a result of research about students’ difficulties in solving the problem of one-way variance analysis . Specifically the purpose of this study is to determine the difficulties that experienced by the students of mathematics education of sembilanbelas November University, Kolaka, in solving the problem of analysis of one-way variance inapplied statistic course, as well as the efforts that can be done to overcome these difficulties. To realize it in this research, the researcher use verifikatif qualitative design to describe the actual situation and verify it, this research tries to describe the actual requirement for the learners of mathematics which of course through the requirement analysis process then verified in order to find an ideal learning design. This research will be conducted in scientific procedures in the academic realm. This research will be carried out at Sembilanbelas November University, kolaka, with active students of Teachers and Education Faculty on mathematics, alumni, and lecturer of Teacher and Education Faculty on mathematics study program will be chosen as informant with purposive sampling technique. In-depth interview, unstructured observation, and dokumen analysis will be pplied as the technique of data collection in this research, while the instruments to be used in the data collection are semi-structured interview guides, observation sheets, and documents. In analyzing the data, the researcher uses content-analysis that systematically and objectively identifies a specific message characteristic. From the results obtained, that there are three types of mistakes made by the students, such as, there are ten students who make a conceptical mistake that is equal to 29,41%, twenty two students or equal to 64,71% who make a mistake in principle, while those who make verbal errors as much as nineteen students or equal to 55,88%.
Sembilanbelas十一月大学2013级大学生数学教育难点分析——解决应用统计学课程的单向方差分析(One Way Anova)问题
统计学是由卡尔·皮尔逊(1857-1936)发展起来的应用数学科学的一个分支。应用统计学是研究统计应用的学科。许多学生认为应用统计课程很难,只有聪明的学生才能掌握。甚至学生们在学习应用统计课程时也会产生焦虑感。这种由于获得应用统计值而产生的焦虑一般要低于获得其他课程的值,由此可见,很多学生一直无法解决与单向方差分析(one-way Anova)相关的问题。本研究通过对学生难解问题的识别、识别、分析,得出了单向方差分析的研究结果。具体而言,本研究的目的是确定Kolaka sembilanbelas十一月大学数学教育学生在解决应用统计学课程中单向方差分析问题时所遇到的困难,以及可以做些什么来克服这些困难。为了在本研究中实现这一点,研究者采用验证性定性设计来描述实际情况并对其进行验证,本研究试图描述数学学习者的实际需求,当然通过需求分析过程再进行验证,从而找到一个理想的学习设计。这项研究将按照学术领域的科学程序进行。本研究将在科拉卡的Sembilanbelas 11月大学进行,采用有目的抽样技术,选择数学教师和教育学院的活跃学生、校友和数学教师和教育学院的讲师作为研究对象。本研究的数据收集技术将采用深度访谈、非结构化观察和文献分析,数据收集工具为半结构化访谈指南、观察表和文献。在分析数据时,研究人员使用系统客观地识别特定信息特征的内容分析。从得到的结果来看,学生犯的错误有三种类型,例如,犯概念错误的学生有10人,等于29,41%,犯原则上错误的学生有22人,等于64,71%,而犯口头错误的学生多达19人,等于55,88%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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