基于Python的“概率论与数理统计”可视化研究

Research on Visualization of Probability Theory and Mathematical Statistics Based on Python

大数据时代背景下,多学科交叉融合是教育创新发展的必然趋势。Python在数据处理领域具有独特优势,因此将其引入“概率论与数理统计”课程进行可视化教学,并以二项分布、正态分布以及中心极限定理为案例进行可视化教学探究。通过Python可以更直观地反映两个分布之间的联系和中心极限定理的本质,提高学生的综合实践能力,更好地培养高层次应用型人才。

Interdisciplinary fusion is the inevitable trend of educational innovation development in the era of big data. Python has unique advantages in data processing. Therefore, this article extends the probability theory and mathematical statistics courses on visualized teaching and takes the binomial distribution, normal distribution, and the central limit theorems to investigate. It intuitively emphasizes the connection between the two distributions and reveals the nature of the central limit theorems and enhances students’ comprehensive practice ability, cultivating high-level applicable talents.