corrected value

简明释义

校正值

英英释义

例句

1.In our final report, we included the corrected value 修正值 to ensure accuracy.

在我们的最终报告中，我们包含了corrected value 修正值以确保准确性。

2.After recalculating the data, we found the corrected value 修正值 for the total sales.

在重新计算数据后，我们发现总销售额的corrected value 修正值。

3.The software automatically calculates the corrected value 修正值 based on user inputs.

该软件根据用户输入自动计算corrected value 修正值。

4.The corrected value 修正值 of the temperature reading was significantly lower than the initial measurement.

温度读数的corrected value 修正值明显低于初始测量值。

5.Please provide the corrected value 修正值 in your next submission to avoid discrepancies.

请在您的下一次提交中提供corrected value 修正值以避免差异。

作文

In the realm of data analysis and scientific research, precision is paramount. Often, initial measurements can be influenced by various factors, leading to inaccuracies. This is where the concept of a corrected value (修正值) comes into play. A corrected value is essentially an adjusted figure that accounts for errors or biases in the original data. By applying statistical methods or calibration techniques, researchers can derive a corrected value that more accurately reflects the true condition of what is being measured.For instance, consider a scenario in a laboratory where a scientist is measuring the concentration of a chemical solution. Due to temperature fluctuations and equipment calibration issues, the initial reading may not be reliable. To ensure the results are valid, the scientist would calculate a corrected value (修正值) by factoring in these variables. This adjustment allows for a more accurate representation of the concentration, which is crucial for further experiments and conclusions.Moreover, the significance of corrected values extends beyond the confines of scientific research. In fields such as finance, engineering, and even social sciences, the integrity of data is critical. For example, in financial forecasting, analysts often encounter raw data that may be skewed due to seasonal fluctuations or economic anomalies. By determining the corrected value (修正值), they can provide stakeholders with forecasts that are based on more stable and realistic assumptions.The process of obtaining a corrected value involves several steps. First, one must identify the potential sources of error in the data collection process. This could include instrument errors, environmental factors, or human error. Next, appropriate correction methods must be selected. These methods can range from simple averaging to more complex statistical models, depending on the nature of the data and the extent of the inaccuracies.Once the corrected value (修正值) has been established, it is essential to communicate this information effectively. Transparency in how the correction was made helps others understand the reliability of the findings. In academic papers, for instance, researchers typically provide a detailed account of their methodology, including how they arrived at the corrected value (修正值). This not only adds credibility to their work but also allows others to replicate the study if desired.In conclusion, the concept of a corrected value (修正值) plays a vital role in ensuring the accuracy and reliability of data across various disciplines. Whether in a laboratory setting, financial analysis, or any other field, the ability to adjust initial measurements to reflect true conditions is crucial. Understanding how to calculate and apply corrected values can significantly enhance the quality of research and decision-making processes. As we continue to advance in our respective fields, the importance of striving for accuracy through the use of corrected values (修正值) will remain a fundamental principle in achieving reliable outcomes.

在数据分析和科学研究领域，精确性至关重要。初始测量往往会受到各种因素的影响，从而导致不准确。这就是corrected value（修正值）概念发挥作用的地方。corrected value本质上是一个经过调整的数字，它考虑了原始数据中的错误或偏差。通过应用统计方法或校准技术，研究人员可以得出一个更准确地反映所测量事物真实状态的corrected value（修正值）。例如，考虑实验室中的一个场景，科学家正在测量化学溶液的浓度。由于温度波动和设备校准问题，初始读数可能不可靠。为了确保结果的有效性，科学家将通过考虑这些变量来计算一个corrected value（修正值）。这个调整使浓度的表示更加准确，这对于进一步的实验和结论至关重要。此外，corrected values的意义超出了科学研究的范畴。在金融、工程甚至社会科学等领域，数据的完整性至关重要。例如，在财务预测中，分析师经常会遇到由于季节性波动或经济异常而可能失真的原始数据。通过确定corrected value（修正值），他们能够为利益相关者提供基于更稳定和现实假设的预测。获得corrected value（修正值）的过程涉及几个步骤。首先，必须识别数据收集过程中潜在的错误来源。这可能包括仪器错误、环境因素或人为错误。接下来，必须选择适当的修正方法。这些方法可以从简单的平均值到更复杂的统计模型，具体取决于数据的性质和不准确程度。一旦建立了corrected value（修正值），有效沟通这一信息至关重要。如何进行修正的透明度帮助他人理解发现的可靠性。在学术论文中，例如，研究人员通常会详细说明他们的方法，包括他们如何得出corrected value（修正值）。这不仅增加了他们工作的可信度，还允许他人如有需要时重复该研究。总之，corrected value（修正值）概念在确保各个学科数据的准确性和可靠性方面发挥着至关重要的作用。无论是在实验室环境中、财务分析中，还是在任何其他领域，调整初始测量以反映真实情况的能力都是至关重要的。理解如何计算和应用corrected values可以显著提高研究和决策过程的质量。随着我们在各自领域的不断进步，通过使用corrected values（修正值）追求准确性的必要性将始终是实现可靠结果的基本原则。