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概率计算中数据思维的应用

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概率计算是概率统计理论的重要组成部分.针对传统概率统计教学重知识传授轻数据思维引导现象,阐述了古典模型、全概率、独立和事件、小概率事件、条件概率和几何模型等概率计算中如何应用数据思维进行分析.教学实践表明,运用数据思维的整体性、量化性、互联性、价值性、动态性和图像化等特征来计算概率,可以降低概率计算的复杂度,有利于理解随机试验过程和发现概率潜藏价值,还能够促进学生数据思维意识形成和数据分析技能提升.
Application of data thinking in probability calculation
Probability calculation is an important component of probability statistics theory.In view of the phenomenon that traditional probability and statistics teaching pays more attention to knowledge teaching than data thinking guidance,it is explored that how to apply data thinking in probability calculations such as classical models,total probability,independent sum events,small probability events,conditional probability and geometric models.Teaching practice has shown that,using the holistic,quantitative,interconnected,valuable,dynamic,and visual characteristics of data thinking to calculate probability,the complexity of probability calculation can be reduced,the process of random experiments is beneficial to being understanded,and the hidden value of probability is conducive to being discovered and it can also promote the formation of students′ data thinking awareness and the improvement of data analysis skills.

probability calculationdata thinkingcourse teaching

陈寿文

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滁州学院 数学与金融学院,安徽 滁州 239000

概率计算 数据思维 课程教学

安徽省高校质量工程项目安徽省高校质量工程项目滁州学院质量工程项目滁州学院质量工程项目

2020jyxm13532021kcszsfkc2922019jyz0112020kcsz022

2024

高师理科学刊
齐齐哈尔大学

高师理科学刊

影响因子:0.351
ISSN:1007-9831
年,卷(期):2024.44(2)
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