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。