统计课学生理解水平的感知分析

A. Diputera
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摘要

为了帮助学生解决研究问题,统计学课程是必修课程。本研究的目的是确定学生在参加统计学讲座后对所有统计材料指标的理解水平的感知,并证明学生的平均感知不属于低类别。使用的研究方法是定量研究。使用的样本是2021年尼日利亚棉兰大学幼儿教育教师教育专业学生的31个样本。数据收集技术采用问卷调查技术。数据分析采用描述性统计和单样本t检验。结果表明,学生对统计讲座指标掌握程度的感知分为两类,高类别为61%,中等类别为39%。样本对讲课指标掌握能力的感知分为四类,即非常高的19%,高的42%,中等的32%,低的7%。对统计指标感知掌握的平均得分大于31.5,说明学生对能力的感知不在Low范畴。
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Perception analysis of students' level of understanding in statistics course
Statistical courses are mandatory for students to take to assist in solving research problems. The purpose of this study was to determine student perceptions of the level of understanding of all statistical material indicators after attending statistics lectures and to prove that the average student perception was not in the low category. The research method used is quantitative research. The sample used was 31 samples from students of Early Childhood Education Teacher Education, Universitas Negeri Medan in 2021. The data collection technique used a questionnaire technique. Data were analyzed using descriptive statistics and one sample t-test. The results showed that Student perceptions of mastery of statistical lecture indicators fall into two categories, namely the high category of 61% and the medium category of 39%. The perception of the sample's ability to master the lecture indicators is divided into four categories, namely the very high category of 19%, the high category of 42%, the medium category of 32%, and the low category of 7%. The mean score of perceived mastery of statistical indicators is greater than 31.5, which means that students' perceptions of ability are not in the Low category.  
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