adjusted value; corrected value

简明释义

校正值

英英释义

例句

1.The final report included the adjusted value for the sales figures to account for seasonal variations.

最终报告中包含了销售数字的调整值以考虑季节性变化。

2.To ensure accuracy, we need to calculate the adjusted value based on the latest data.

为了确保准确性，我们需要根据最新数据计算调整值。

3.After reviewing the calculations, the accountant provided the corrected value for the tax return.

在审核计算后，会计提供了税务申报的修正值。

4.The adjusted value of the property reflects its true market worth after renovations.

该物业的调整值反映了翻新后的真实市场价值。

5.In the study, researchers reported the corrected value of the measurements taken during the experiment.

在研究中，研究人员报告了实验过程中所采集数据的修正值。

作文

In the world of data analysis and statistics, the concepts of adjusted value and corrected value play a crucial role in ensuring the accuracy and reliability of results. These terms are often used interchangeably, yet they can have distinct meanings depending on the context in which they are applied. Understanding these terms is essential for anyone involved in research, finance, or any field that relies on precise numerical data.The adjusted value refers to a figure that has been modified to account for certain factors or variables that may skew the original data. For example, in financial reporting, companies often present adjusted values to provide a clearer picture of their performance by excluding one-time expenses or revenues that do not reflect ongoing operations. This adjustment allows stakeholders to better assess the company's underlying profitability and operational efficiency.On the other hand, the corrected value typically refers to a figure that has been amended due to errors or inaccuracies in the initial data. This could involve correcting typos in data entry, recalibrating measurement instruments, or addressing biases in survey responses. The goal of deriving a corrected value is to ensure that the data truly reflects reality, thereby enhancing the credibility of the findings.For instance, consider a scenario where a researcher conducts a survey to measure public opinion on a particular issue. If it is later discovered that a significant portion of the responses was misclassified due to a programming error, the researcher would need to calculate a corrected value to accurately represent the opinions of the respondents. In this case, the corrected value would be vital for drawing valid conclusions and making informed decisions based on the survey results.Both adjusted values and corrected values are integral to the integrity of data-driven decision-making processes. They help analysts and decision-makers navigate complexities within datasets, leading to more accurate interpretations and conclusions. In the realm of economics, for example, economists often use adjusted values to compare economic indicators across different time periods or geographical regions, accounting for inflation or demographic changes. This allows for more meaningful comparisons that can inform policy decisions.Moreover, in scientific research, the distinction between adjusted values and corrected values can significantly impact the outcomes of experiments or studies. Researchers must be diligent in documenting both adjustments and corrections to maintain transparency and reproducibility in their work. A failure to do so could lead to misinterpretations of data, undermining the validity of the research.In conclusion, the terms adjusted value and corrected value are fundamental in the fields of data analysis and statistics. While adjusted values help refine data to reflect more accurate operational realities, corrected values ensure that the data is free from errors and inaccuracies. Mastering these concepts is essential for professionals across various disciplines, as they strive to make informed decisions based on reliable data. By understanding the importance of these values, individuals can enhance their analytical skills and contribute to a culture of data integrity and accuracy in their respective fields.

在数据分析和统计的世界中，调整值和修正值这两个概念在确保结果的准确性和可靠性方面发挥着至关重要的作用。这些术语通常可以互换使用，但根据应用的上下文，它们可能具有不同的含义。理解这些术语对于任何参与研究、金融或任何依赖精确数值数据的领域的人来说都是至关重要的。调整值是指经过修改的数字，以考虑可能扭曲原始数据的某些因素或变量。例如，在财务报告中，公司通常会提供调整值，以通过排除一次性费用或收入来提供更清晰的业绩图景，这些费用或收入并不反映持续的运营。这一调整使利益相关者能够更好地评估公司的潜在盈利能力和运营效率。另一方面，修正值通常指由于初始数据中的错误或不准确而进行修订的数字。这可能涉及纠正数据输入中的错别字、重新校准测量仪器或解决调查回应中的偏见。得出修正值的目标是确保数据真实反映现实，从而增强研究结果的可信度。例如，考虑一个研究人员进行调查以测量公众对特定问题的意见的情境。如果后来发现由于编程错误，响应的大部分被错误分类，那么研究人员需要计算一个修正值以准确表示受访者的意见。在这种情况下，修正值对于得出有效结论和根据调查结果做出明智决策至关重要。调整值和修正值都是数据驱动决策过程完整性的核心。它们帮助分析师和决策者在数据集中导航复杂性，从而得出更准确的解释和结论。在经济学领域，例如，经济学家通常使用调整值来比较不同时间段或地理区域的经济指标，考虑通货膨胀或人口变化。这允许进行更有意义的比较，从而为政策决策提供信息。此外，在科学研究中，调整值和修正值之间的区别可能显著影响实验或研究的结果。研究人员必须仔细记录所有调整和修正，以保持其工作的透明度和可重复性。如果未能做到这一点，可能会导致数据的误解，从而破坏研究的有效性。总之，调整值和修正值这两个术语在数据分析和统计领域中是基础性的。虽然调整值有助于优化数据以反映更准确的操作现实，但修正值确保数据没有错误和不准确。掌握这些概念对于各个学科的专业人士来说至关重要，因为他们努力根据可靠的数据做出明智的决策。通过理解这些值的重要性，个人可以提升自己的分析技能，并在各自的领域中促进数据完整性和准确性的文化。