xi

简明释义

英[saɪ;zaɪ;ksaɪ;ɡzaɪ]美[saɪˌzaɪˌksaɪˌɡzaɪ]

n. 希腊字母表的第14个字母

n. （Xi） ξ星（星座中第十四颗星）

复 数 x i s

英英释义

单词用法

同义词

反义词

例句

1.Xi Chen, the researcher of the Yale School of Public Health led the study.

耶鲁大学公共卫生学院的研究员陈曦领导了这项研究。

2.A Good morning! I'd like to book a trip to Xi 'an.

A早上好！我想预订去西安的旅程。

3.A So you know Shanghai and Xi 'an quite well?

A这么说你也很了解上海和西安了？

4.More details on XI are available in Resources.

参考资料中可获得有关XI更详细的信息。

5.November, Xi 'an, People's theatre.

11月10日，西安，人民剧院。

6.For example, XI only generates elements -- never attributes.

例如，XI仅生成元素 ―而从不生成属性。

7.The teacher asked us to write an essay about our favorite hobby, which is playing the guitar. I really enjoy it because it allows me to express my feelings through muxic.

老师让我们写一篇关于自己最喜欢的爱好的文章，我最喜欢的爱好是弹吉他。我真的很享受，因为这让我通过音乐表达我的感受。

8.In our class, we often discuss the importance of cultural diverxity.

在我们的课堂上，我们经常讨论文化多样性的重要性。

9.I love to watch movies that have a great soundtraxit.

我喜欢看那些有很棒原声带的电影。

10.The museum had an exhibit showcasing ancient art and archixitecture.

博物馆有一个展览，展示古代艺术和建筑。

11.During the festival, people gathered to enjoy traditional dancxing and singing.

在节日期间，人们聚集在一起享受传统的舞蹈和唱歌。

作文

In the study of mathematics and physics, we often encounter various symbols that represent different concepts. One such symbol is xi, which is commonly used in statistics and probability theory. The term xi typically refers to a random variable or an observation in a dataset. Understanding the significance of xi is crucial for anyone looking to delve deeper into these fields. In this essay, I will explore the meaning of xi, its applications, and why it is important to comprehend this concept thoroughly.Firstly, let us define what xi represents. In statistical terms, xi denotes a specific value of a random variable X. For instance, if we are conducting a survey on the heights of students in a class, each student's height would be represented as xi. This allows us to analyze the data collectively rather than individually, making it easier to derive meaningful insights. By treating each observation as xi, we can apply various statistical methods to summarize and interpret the data.Moreover, the use of xi extends beyond simple observations. In probability theory, xi can also represent outcomes in a probabilistic experiment. For example, when rolling a die, the possible outcomes can be denoted as x1, x2, x3, x4, x5, x6, where each xi corresponds to a potential result of the roll. This notation helps in calculating probabilities and understanding the likelihood of certain events occurring.The importance of xi can be observed in various practical applications. In fields such as economics, psychology, and social sciences, researchers rely on the concept of xi to analyze data and make informed decisions. For instance, economists may use xi to represent different economic indicators, such as GDP growth rates or inflation rates, allowing them to model economic behavior and predict future trends.Furthermore, understanding xi is essential for interpreting statistical results accurately. When we conduct hypothesis testing, for example, we often compare sample means represented by xi against a population mean to determine if there is a significant difference. Misinterpreting the role of xi in these analyses can lead to incorrect conclusions, ultimately affecting decision-making processes.In conclusion, the concept of xi plays a vital role in statistics and probability theory. It serves as a foundational element for data analysis, enabling researchers and analysts to make sense of complex datasets. By grasping the meaning and applications of xi, individuals can enhance their understanding of statistical methods and improve their ability to interpret data effectively. As we continue to navigate an increasingly data-driven world, the significance of xi will only grow, making it imperative for students and professionals alike to master this concept.

在数学和物理的研究中，我们常常会遇到代表不同概念的各种符号。其中一个符号是xi，它通常用于统计学和概率论中。术语xi通常指代随机变量或数据集中的观察值。理解xi的重要性对于任何希望深入这些领域的人来说都是至关重要的。在这篇文章中，我将探讨xi的含义、应用以及理解这一概念为何如此重要。首先，让我们定义一下xi所代表的内容。在统计术语中，xi表示随机变量X的特定值。例如，如果我们正在对一个班级的学生身高进行调查，每个学生的身高将被表示为xi。这使我们能够整体分析数据，而不是单独分析，从而更容易得出有意义的见解。通过将每个观察值视为xi，我们可以应用各种统计方法来总结和解释数据。此外，xi的使用超出了简单观察的范围。在概率论中，xi也可以表示概率实验中的结果。例如，在掷骰子的过程中，可能的结果可以表示为x1, x2, x3, x4, x5, x6，其中每个xi对应于掷骰子的潜在结果。这种表示法有助于计算概率并理解某些事件发生的可能性。xi的重要性可以在各种实际应用中观察到。在经济学、心理学和社会科学等领域，研究人员依赖于xi的概念来分析数据并做出明智的决策。例如，经济学家可能会使用xi来表示不同的经济指标，例如GDP增长率或通货膨胀率，从而使他们能够建模经济行为并预测未来趋势。此外，理解xi对于准确解释统计结果至关重要。当我们进行假设检验时，例如，我们通常将样本均值（由xi表示）与总体均值进行比较，以确定是否存在显著差异。错误地解释xi在这些分析中的作用可能导致不正确的结论，从而最终影响决策过程。总之，xi的概念在统计学和概率论中扮演着至关重要的角色。它作为数据分析的基础元素，使研究人员和分析师能够理解复杂的数据集。通过掌握xi的含义和应用，个人可以增强对统计方法的理解，提高有效解释数据的能力。随着我们继续在一个日益数据驱动的世界中前行，xi的重要性只会增加，因此学生和专业人士都必须掌握这一概念。