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作 者:郜付敏 郑葵 GAO Fumin;ZHENG Kui
机构地区:[1]广东培正学院经济学院统计学系,广东广州510000
出 处:《科教文汇》2021年第35期69-71,共3页Journal of Science and Education
摘 要:大数据时代能够对数据进行准确的统计分析,是从大数据中提炼有价值信息的关键,"多元统计分析"是处理、分析多维数据内部关系的一门重要课程,但其理论部分涉及线性代数、高等数学、概率论与数理统计等知识,导致学生产生畏难情绪,且学生难以将理论知识与实际问题相结合,使得教学过程存在一定的困难。因此,通过对传统的"多元统计分析"教学进行反思,提出教学过程中应强调多元统计分析方法的思想、注重实例教学、培养学生的学习积极性等建议,有助于培养学生发现问题、分析问题、解决问题的能力。In the era of big data, accurate statistical analysis of data is the key to extracting valuable information from big data.Multivariate Statistical Analysis is an important course to process and analyze the internal relationship of multidimensional data,but its theoretical part involves knowledge of linear algebra,higher mathematics, probability theory and mathematical statistics, and so on, which makes students feel it difficult to learn it.Besides, it is difficult for students to combine theoretical knowledge with practical problems, so there are some difficulties in the teaching process. Therefore, after reflecting on the traditional teaching of Multivariate Statistical Analysis, this paper puts forward that in the teaching process, it is suggested to emphasize the idea of multivariate statistical analysis methods, pay attention to example-based teaching, and cultivate students’ learning enthusiasm. The suggestions are helpful to the cultivation of students’ ability to find, analyze and solve problems.
分 类 号:G642.0[文化科学—高等教育学]
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