概率论与数理统计英语

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概率论与数理统计英语

English: Probability theory and mathematical statistics are two

branches of mathematics that deal with the concepts and tools used

to understand randomness and uncertainty in various phenomena.

Probability theory is concerned with quantifying uncertainty and

making predictions about the likelihood of certain events occurring,

while mathematical statistics uses probability theory to draw

conclusions about populations based on sample data. These two

fields are closely related and often used together in applications such

as insurance, finance, engineering, and social sciences. Probability

theory involves concepts such as random variables, probability

distributions, and the laws of large numbers, while mathematical

statistics covers topics such as estimation, hypothesis testing, and

regression analysis. Together, they provide a framework for

understanding uncertainty and making informed decisions in the

face of incomplete information.

中文翻译: 概率论和数理统计是数学的两个分支,涉及用于理解各种现象中的随机性和不确定性的概念和工具。概率论涉及量化不确定性并对某些事件发生的可能性进行预测,而数理统计利用概率论来根据样本数据对总体进行推论。这两个领域密切相关,通常在保险、金融、工程和社会科学等应用中一起使用。概率论涉及随机变量、概率分布和大数定律等概念,而数理统计涵盖估计、假设检验和回归分析等主题。它们共同构建了一个框架,用于理解不确定性,并在信息不完整的情况下做出知情决策。