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以项目驱动的统计学教学解除了长期以来统计学课程枯燥干瘪的顽疾,充分调动了学生的参与意识、团队意识和自主创新意识,教学效果显著提升。如何设计出高质量的综合性项目,是广大统计学教师探索和思考的问题。在综合型项目的设计过程中,选题、研究假设、抽样设计、相关及回归分析是几个关键节点,容易出现这样那样的错误。本文对于几个关键节点的错误类型及成因进行归纳,并提出改进意见,以期对项目设计提供参考。
The project-driven statistical teaching has lifted the chronic shortage of dry and dry statistics courses, and fully mobilized students’ sense of participation, team awareness and sense of independent innovation, and markedly improved the teaching effect. How to design a high-quality comprehensive project is the question that most statistics teachers explore and think. In the process of designing comprehensive projects, such topics as topic selection, research hypothesis, sampling design, correlation and regression analysis are a few key nodes, and such mistakes are easy to occur. This article summarizes the types and causes of errors of several key nodes, and puts forward suggestions for improvement in order to provide reference for project design.