Keywords
Statistical analysis methods
Ideological and political education
Submitted : 2025-01-14
Accepted : 2025-01-29
Published : 2025-02-13
Abstract
Statistics is an important component of data science, and multivariate statistical analysis methods play a crucial role in analyzing high-dimensional data and extracting effective information from it in the era of big data. Under the wave of domestic curriculum ideological and political education, this paper explores the organic integrations of multivariate statistical analysis methods such as regression analysis, variance analysis, factor analysis, principal component analysis, canonical correlation analysis, k-nearest neighbor algorithm, and hierarchical clustering with ideological and political education. The study makes analogies between the principles, ideas, advantages, and applications of these methods and some ideological and political contents, making abstract multivariate statistical analysis methods more vivid and helping students establish correct worldviews, outlooks on life, and values.
References
Li Q, 2024, Exploring Ideological and Political Elements in the Course of Probability Theory and Mathematical Statistics. Defence Industry Conversion in China, 2024(2): 155–156.
Xiong W, Pan C, 2024, Exploration and Practice of Statistics Curriculum Ideological and Political Education Reform of Agriculture and Forestry Universities Under the Background of New Agricultural Sciences. South-Central Agricultural Science and Technology, 45(2): 225–228.
Zhao J, 2023, Ideological and Political Exploration for Teaching Contents of Recommendation System Course. Modern Management Forum, 7(12): 230–232.
Zhao J, 2024, Ideological and Political Exploration for Some Recommendation Methods. Modern Management Forum, 8(4): 122–124.
Wei Q, He L, Ji J, et al., 2024, Teaching Research on Integrating Regression Analysis into Curriculum Ideological and Political Education. Intelligence, 2024(15): 21–24.
Zeng S, Wu H, Yu Y, 2024, Classroom Teaching Exploration of Applied Regression Analysis Based on Curriculum Ideological and Political Education. Industry and Technology Forum, 23(6): 196–199.
Xu Z, Ma D, 2024, Research on Ideological and Political Teaching Strategies of Statistics Courses in Colleges and Universities—Taking Financial Statistics as an Example. Huazhang, 2024(5): 27–29.
Wang Y, Xia W, 2024, Research on Mining and Teaching Implementation of Ideological and Political Elements in the Graduate Course Time Series Analysis. Journal of Higher Education, 10(12): 184–188 + 192.
Li J, Zhu J, Wu S, et al., 2024, Practical Research on Teaching Reform of Curriculum Ideological and Political Education in Medical Statistics. Chinese Journal of Health Statistics, 41(2): 302–305.
Zhou Z, Wu W, Chen H, 2023, Teaching Design Exploration of Curriculum Ideological and Political Education in Graduate Medical Statistics. Medical Education Management, 9(6): 706–710.
Lu J, Zhang Z, 2024, The Challenges and Countermeasures Faced by Curriculum Ideological and Political Education in Undergraduate Statistical Calculations in the Digital Era. Journal of Higher Education, 10(11): 186–189.
Xu L, Zhou Y, 2024, Designs and Applications of Curriculum Ideological and Political Cases in Applied Statistical Software. Computer Knowledge and Technology, 20(5): 159–161.
Xu L, Zhou Y, Zhang H, 2024, Exploration of Curriculum Ideological and Political Education Under the OBE Concept—Taking the Course Applied Statistical Software as an Example. Education Informatization Forum, 2024(3): 117–119.
Fu Y, He J, 2024, Statistical Method Selections and SPSS Implementations for Exploring Connotations of Ideological and Political Education. Education Forum, 2024(5): 165–168.
Xin H, Zhou S, Fu X, et al., 2024, Elementary Analysis for Curriculum Reforms and Ideological and Political Designs of Multivariate Statistical Analysis. Chengcai, 2024(4): 43–45.