excluded addition

简明释义

除外添加

英英释义

例句

1.For clarity, the excluded addition 排除的附加项 of bonuses was discussed separately from the regular salaries.

为了清晰起见，excluded addition 排除的附加项 的奖金与常规薪资分开讨论。

2.During the meeting, the manager highlighted the excluded addition 排除的附加项 of overtime hours in the payroll calculations.

在会议上，经理强调了工资计算中 excluded addition 排除的附加项 的加班小时。

3.The contract clearly states that any excluded addition 排除的附加项 to the project scope must be approved in writing.

合同明确指出，任何对项目范围的 excluded addition 排除的附加项 都必须书面批准。

4.The software update included several features, but the excluded addition 排除的附加项 of user permissions caused confusion among the users.

软件更新包括几个功能，但 excluded addition 排除的附加项 的用户权限引起了用户的困惑。

5.In the final report, the team noted that the excluded addition 排除的附加项 of expenses would not affect the overall budget.

在最终报告中，团队指出，excluded addition 排除的附加项 的费用不会影响整体预算。

作文

In the world of mathematics and logic, there are various principles that govern how we approach problems and solutions. One such principle is the concept of excluded addition, which refers to the idea that certain elements or values can be deliberately omitted from a set or calculation. This principle is crucial in many fields, including statistics, computer science, and economics, where the inclusion or exclusion of specific data points can significantly impact the outcome of an analysis. Understanding excluded addition helps individuals make more informed decisions based on the information available to them.To illustrate the importance of excluded addition, consider a scenario in statistical analysis. When researchers conduct surveys, they often collect a vast amount of data. However, not all data points are relevant to the study's objectives. For example, if a survey aims to understand the spending habits of college students, including responses from individuals who are not in college would be an instance of excluded addition. By excluding these irrelevant data points, researchers can obtain a clearer picture of the spending behaviors of their target demographic.Moreover, excluded addition plays a vital role in computer programming. Developers frequently need to filter out unnecessary data when processing large datasets. For instance, when creating an application that tracks user engagement on a website, a programmer might choose to exclude certain types of interactions, such as bot traffic or repeated visits from the same user. This excluded addition ensures that the analysis reflects genuine user behavior, leading to more accurate insights and better decision-making.In economics, the principle of excluded addition can also be applied when analyzing market trends. Economists often focus on specific variables that influence supply and demand. If they were to include every possible factor in their analysis, the results could become convoluted and misleading. By excluding less relevant factors, such as seasonal variations or one-time events, economists can create models that more accurately predict future market behavior.It is essential to recognize that while excluded addition can enhance clarity and focus in analysis, it must be applied judiciously. Excluding too much information can lead to oversimplification and potentially skew results. Therefore, researchers and analysts must carefully consider what to include and what to exclude in their calculations.In conclusion, the concept of excluded addition serves as a critical tool in various fields, helping professionals to streamline their analyses and focus on the most pertinent information. By understanding how to apply this principle effectively, individuals can improve their problem-solving skills and enhance the quality of their work. Whether in mathematics, statistics, computer science, or economics, mastering excluded addition allows for more precise and meaningful outcomes, ultimately leading to better-informed decisions and strategies. The importance of this principle cannot be overstated, as it fosters a deeper understanding of complex systems and improves the accuracy of analyses across disciplines.

在数学和逻辑的世界中，有各种原则指导我们如何处理问题和解决方案。其中一个原则是排除加法的概念，这指的是某些元素或值可以故意从集合或计算中省略。这个原则在许多领域中至关重要，包括统计学、计算机科学和经济学，因为特定数据点的包含或排除会显著影响分析的结果。理解排除加法有助于个人根据可用信息做出更明智的决策。为了说明排除加法的重要性，考虑统计分析中的一个场景。当研究人员进行调查时，他们通常会收集大量数据。然而，并非所有数据点都与研究的目标相关。例如，如果一项调查旨在了解大学生的消费习惯，那么包括不在大学的个体的回答将是排除加法的一个实例。通过排除这些无关的数据点，研究人员可以获得其目标人群消费行为的更清晰的图景。此外，排除加法在计算机编程中也起着至关重要的作用。开发人员在处理大型数据集时，经常需要过滤掉不必要的数据。例如，在创建一个跟踪网站用户参与度的应用程序时，程序员可能会选择排除某些类型的交互，如机器人流量或同一用户的重复访问。这种排除加法确保分析反映真实的用户行为，从而导致更准确的洞察和更好的决策。在经济学中，排除加法的原则也可以应用于市场趋势分析。经济学家通常关注影响供需的特定变量。如果他们在分析中包含每一个可能的因素，结果可能会变得复杂且误导。因此，通过排除较不相关的因素，例如季节性变化或一次性事件，经济学家可以创建更准确预测未来市场行为的模型。必须认识到，虽然排除加法可以增强分析的清晰度和重点，但必须谨慎应用。排除过多信息可能导致过于简化并潜在地扭曲结果。因此，研究人员和分析师必须仔细考虑在计算中包含和排除的内容。总之，排除加法的概念作为各个领域中的关键工具，帮助专业人士简化分析并关注最相关的信息。通过理解如何有效地应用这一原则，个人可以提高他们的问题解决能力，增强工作质量。无论是在数学、统计学、计算机科学还是经济学中，掌握排除加法都能带来更精确和有意义的结果，最终导致更明智的决策和策略。这个原则的重要性不可低估，因为它促进了对复杂系统的更深入理解，并提高了跨学科分析的准确性。