corrected value

简明释义

修正值

英英释义

例句

1.In statistics, the corrected value helps to eliminate bias in the data analysis.

在统计学中，修正值有助于消除数据分析中的偏差。

2.Please use the corrected value for your calculations moving forward.

请在今后的计算中使用修正值。

3.After recalculating the data, we found the corrected value to be significantly different from our initial estimate.

在重新计算数据后，我们发现修正值与我们初始估计有显著差异。

4.The scientist reported the corrected value of the experiment's results in the journal article.

科学家在期刊文章中报告了实验结果的修正值。

5.The software automatically updates the corrected value when new data is inputted.

当输入新数据时，软件会自动更新修正值。

作文

In the realm of data analysis and statistics, the term corrected value refers to a figure that has been adjusted to account for errors or biases in the original data set. This concept is crucial when it comes to ensuring accuracy and reliability in research findings. For instance, when measuring the temperature of a substance, various factors such as environmental conditions and instrument calibration can lead to discrepancies in the recorded values. To arrive at a more accurate representation, scientists often calculate a corrected value by applying specific formulas or adjustments based on known variables.The process of obtaining a corrected value often involves several steps. First, researchers must identify the sources of error in their data collection methods. These could include systematic errors, which are consistent and repeatable inaccuracies, or random errors that occur due to unpredictable fluctuations. Once these errors are identified, the next step is to quantify them. This might involve statistical techniques or experimental trials to determine the extent of the inaccuracies.After quantifying the errors, researchers apply corrections to the original data to derive the corrected value. This adjustment not only enhances the validity of the results but also increases the credibility of the research. For example, if a series of temperature readings were consistently off by two degrees due to a calibration issue, the corrected value would reflect this adjustment, providing a true representation of the temperature being measured.Moreover, the importance of corrected values extends beyond mere accuracy. In fields such as economics, engineering, and environmental science, the implications of using unadjusted data can be significant. Decisions made based on flawed data can lead to financial losses, structural failures, or environmental degradation. Therefore, the practice of calculating corrected values is not just a technical necessity; it is a moral obligation for researchers and professionals.In conclusion, the concept of corrected value plays a vital role in the integrity of data analysis. By adjusting raw data to account for various errors, researchers can ensure that their findings are both accurate and reliable. This practice not only enhances the quality of research but also fosters trust in scientific inquiry. As we continue to navigate an increasingly data-driven world, understanding and applying the principles behind corrected values will be essential for anyone involved in research or data analysis, ensuring that our conclusions are based on the most accurate information available.

在数据分析和统计学领域，术语corrected value指的是经过调整以考虑原始数据集中的错误或偏差的数字。这个概念在确保研究结果的准确性和可靠性时至关重要。例如，在测量物质的温度时，环境条件和仪器校准等各种因素可能导致记录值的差异。为了得出更准确的表示，科学家们通常通过应用特定的公式或基于已知变量的调整来计算corrected value。获得corrected value的过程通常涉及多个步骤。首先，研究人员必须识别数据收集方法中的误差来源。这些可能包括系统误差，即一致且可重复的不准确性，或由于不可预测波动而发生的随机误差。一旦识别出这些错误，下一步是对其进行量化。这可能涉及统计技术或实验试验，以确定不准确性的程度。在量化错误之后，研究人员会对原始数据进行修正，以得出corrected value。这种调整不仅提高了结果的有效性，还增加了研究的可信度。例如，如果一系列温度读数由于校准问题而持续偏差两个度，那么corrected value将反映这一调整，提供被测温度的真实表示。此外，corrected values的重要性超越了单纯的准确性。在经济学、工程学和环境科学等领域，使用未经调整的数据可能产生重大影响。基于有缺陷的数据做出的决策可能导致经济损失、结构故障或环境退化。因此，计算corrected values的做法不仅是技术上的必要性；对于研究人员和专业人士来说，这是一种道德责任。总之，corrected value的概念在数据分析的完整性中发挥着至关重要的作用。通过调整原始数据以考虑各种错误，研究人员可以确保他们的发现既准确又可靠。这种做法不仅提高了研究的质量，还促进了对科学探究的信任。随着我们继续在一个日益数据驱动的世界中航行，理解和应用corrected values背后的原则将对任何参与研究或数据分析的人至关重要，确保我们的结论基于最准确的信息。