weighting

简明释义

英[ˈweɪtɪŋ]美[ˈweɪtɪŋ]

n. 加重，加权；衡量；（英）生活补贴

v. 加权；称量（weight 的现在分词）

复 数 w e i g h t i n g s

英英释义

单词用法

同义词

反义词

例句

1.All reported margins of sampling error include the computed design effects for weighting and sample design.

所有报告的样本误差比率包括了加权和抽样设计设计效应计算在内。

2.This paper introduces a practical technique of heighting weighting accuracy stability.

本文介绍了一种提高加权精度稳定性的实用技术。

3.Login modules with required or requisite weighting must succeed for the overall login to be deemed successful.

要想取得整个登录的成功，带有所需的或必要的权值的登录模块必须被认为是成功的。

4.This was used to consistently create the examples under "Weighting on a table" given earlier in this article.

本文前面使用该功能一致地创建 “关于表的权重” 小节中的例子。

5.The trick is in weighting each variable.

假象在每一个可变的加权值中。

6.Each question in the exam has equal weighting.

考试中每道题的分值相等。

7.The weighting 加权 system used in this model helps prioritize certain features over others.

该模型中使用的weighting 加权系统有助于优先考虑某些特征。

8.In this survey, we applied a weighting 加权 to ensure that all demographics were fairly represented.

在这项调查中，我们应用了weighting 加权以确保所有人口统计数据得到公平代表。

9.The weighting 加权 of different factors can significantly affect the outcome of the analysis.

不同因素的weighting 加权可能会显著影响分析结果。

10.The final grade will be calculated using a weighting 加权 of 40% for the exam and 60% for assignments.

最终成绩将通过考试的40%和作业的60%的weighting 加权来计算。

11.When calculating the index, each component has a specific weighting 加权 based on its importance.

在计算指数时，每个组成部分都有基于其重要性的特定weighting 加权。

作文

In today's world, the concept of weighting (加权) plays a crucial role in various fields, including education, finance, and data analysis. Understanding how weighting is applied can significantly enhance our decision-making processes and improve our analytical skills. This essay will explore the importance of weighting, its applications, and how it can be effectively utilized in real-life scenarios.To begin with, weighting refers to the process of assigning different levels of importance to various elements within a dataset or a calculation. For instance, in an academic context, when calculating a student's final grade, different assignments may carry different weights. A midterm exam might account for 40% of the overall grade, while homework might only account for 20%. This method ensures that more significant assessments have a greater impact on the final outcome, reflecting the true abilities of the student more accurately.Moreover, weighting is also prevalent in financial markets. Investors often use weighting strategies to determine how much of their portfolio should be allocated to different assets. For example, in a diversified investment portfolio, stocks might be given a higher weighting (权重) compared to bonds due to their potential for higher returns. By adjusting the weighting of each asset, investors can manage risk more effectively and align their investments with their financial goals.In the realm of data analysis, weighting is essential for drawing accurate conclusions from surveys and research studies. When conducting surveys, certain demographics may be underrepresented or overrepresented in the sample. To correct this, researchers apply weighting to ensure that the results reflect the population more accurately. For example, if a survey of public opinion on a particular issue has a higher proportion of respondents from one age group, researchers might apply a weighting factor to balance the responses according to the actual population distribution. This practice enhances the validity of the findings and helps policymakers make informed decisions.Furthermore, understanding weighting allows individuals to critically evaluate information presented to them. In an age where data is abundant, being able to discern the significance of various factors is vital. For instance, when reviewing news articles or research papers, recognizing how different sources may apply weighting to their data can lead to a more nuanced understanding of the topic at hand. It encourages readers to question the motives behind the data presentation and to seek out a balanced perspective.In conclusion, the concept of weighting (加权) is integral to many aspects of our lives, from education to finance and data analysis. By grasping the principles of weighting, we can make more informed decisions, whether we are calculating grades, managing investments, or interpreting research findings. As we continue to navigate an increasingly complex world, the ability to understand and apply weighting will undoubtedly serve us well, allowing us to analyze situations more critically and arrive at conclusions that are both fair and accurate.

在当今世界，weighting（加权）这一概念在教育、金融和数据分析等多个领域中发挥着至关重要的作用。理解weighting的应用可以显著增强我们的决策过程并提高我们的分析能力。本文将探讨weighting的重要性、其应用及如何在现实场景中有效利用它。首先，weighting是指在数据集或计算中为不同元素分配不同重要性水平的过程。例如，在学术背景下，计算学生的最终成绩时，不同的作业可能具有不同的权重。一项期中考试可能占总成绩的40%，而作业可能只占20%。这种方法确保更重要的评估对最终结果有更大的影响，更准确地反映学生的真实能力。此外，weighting在金融市场中也很常见。投资者通常使用weighting策略来决定其投资组合中应该分配给不同资产的比例。例如，在一个多元化的投资组合中，股票的weighting（权重）可能会高于债券，因为股票有更高的回报潜力。通过调整每种资产的weighting，投资者可以更有效地管理风险，并使其投资与财务目标保持一致。在数据分析领域，weighting对于从调查和研究中得出准确结论至关重要。当进行调查时，某些人口统计特征在样本中可能被低估或高估。为了纠正这一点，研究人员会应用weighting以确保结果更准确地反映总体。例如，如果一项关于特定问题的公众舆论调查在某个年龄组中有较高的响应比例，研究人员可能会应用weighting因子来根据实际人口分布平衡响应。这一做法增强了研究结果的有效性，并帮助决策者做出明智的决定。此外，理解weighting使个人能够批判性地评估呈现给他们的信息。在数据丰富的时代，能够辨别各种因素的重要性至关重要。例如，在审阅新闻文章或研究论文时，认识到不同来源可能如何对其数据应用weighting可以导致对所讨论主题的更细致理解。这鼓励读者质疑数据呈现背后的动机，并寻求平衡的视角。总之，weighting（加权）这一概念在我们生活的许多方面都是不可或缺的，从教育到金融再到数据分析。通过掌握weighting的原则，我们可以做出更明智的决策，无论是在计算成绩、管理投资还是解读研究发现时。随着我们继续在日益复杂的世界中航行，理解和应用weighting的能力无疑会对我们大有裨益，使我们能够更批判性地分析情况，得出公平和准确的结论。