resultant error

简明释义

合成误差

英英释义

例句

1.The calibration of the instrument was off, leading to a significant resultant error （结果误差） in the measurements.

仪器的校准不准确，导致测量中出现了显著的结果误差 （结果误差）。

2.The experiment yielded a resultant error （结果误差） due to environmental factors.

由于环境因素，实验产生了一个结果误差 （结果误差）。

3.The software update introduced a resultant error （结果误差） that caused the application to crash unexpectedly.

软件更新引入了一个导致应用程序意外崩溃的结果误差 （结果误差）。

4.In statistical analysis, a resultant error （结果误差） may arise from sampling bias.

在统计分析中，采样偏差可能导致出现结果误差 （结果误差）。

5.After reviewing the calculations, we found a resultant error （结果误差） that affected our final report.

在审查计算后，我们发现一个影响最终报告的结果误差 （结果误差）。

作文

In the realm of science and engineering, precision is paramount. Every measurement we take, whether it be in a laboratory or during an engineering project, carries with it a degree of uncertainty. This uncertainty can lead to what is known as resultant error, which is the cumulative effect of all individual errors in a measurement process. Understanding this concept is crucial for anyone involved in fields that require accuracy and reliability.To illustrate the idea of resultant error, consider a simple experiment where a scientist measures the length of a table using a ruler. If the ruler is not calibrated correctly, it may show inaccurate readings. Additionally, the scientist might not align the ruler perfectly with the edge of the table, leading to further discrepancies. Each of these inaccuracies contributes to the overall error in the measurement, ultimately resulting in a resultant error that affects the validity of the experiment.In more complex scenarios, such as in engineering designs, the implications of resultant error can be even more significant. For instance, when designing a bridge, engineers must account for various factors like material strength, load distribution, and environmental conditions. Each factor has its own uncertainties, and when combined, they produce a resultant error that could potentially lead to structural failures if not properly addressed. Therefore, engineers employ statistical methods and simulations to estimate and minimize this error, ensuring safety and functionality.Moreover, in the field of data analysis, resultant error plays a critical role in interpreting results. When analyzing data sets, researchers must consider the potential errors in data collection and processing. For instance, if a study aims to determine the average height of a population, any miscalculations in individual measurements contribute to a resultant error that skews the final results. This is why it is essential for researchers to apply rigorous methodologies and validate their findings against established benchmarks.Furthermore, the concept of resultant error is not limited to physical measurements but extends to various fields, including economics and social sciences. In economic modeling, for example, assumptions about market behavior can lead to errors in predictions. These assumptions, when compounded, create a resultant error that can mislead policymakers and stakeholders. Recognizing and correcting for these errors is vital for making informed decisions.In conclusion, the understanding of resultant error is fundamental across multiple disciplines. It emphasizes the importance of accuracy in measurements and the need for careful consideration of all factors that contribute to errors. By acknowledging the presence of resultant error, professionals can implement strategies to mitigate its impact, thereby enhancing the reliability of their work. Whether in scientific research, engineering projects, or data analysis, being aware of and addressing resultant error is key to achieving accurate and trustworthy results.

在科学和工程领域，精确性至关重要。我们所进行的每一次测量，无论是在实验室还是在工程项目中，都伴随着一定程度的不确定性。这种不确定性可能导致所谓的结果误差，即测量过程中所有个体误差的累积效应。理解这个概念对任何参与需要准确性和可靠性的领域的人来说都是至关重要的。为了说明结果误差的概念，考虑一个简单的实验，其中科学家使用尺子测量一张桌子的长度。如果尺子没有正确校准，它可能会显示不准确的读数。此外，科学家可能没有将尺子与桌子的边缘完美对齐，从而导致进一步的差异。每一个不准确都对测量的整体误差产生影响，最终导致结果误差，影响实验的有效性。在更复杂的场景中，例如在工程设计中，结果误差的影响可能更为显著。例如，在设计桥梁时，工程师必须考虑材料强度、载荷分布和环境条件等各种因素。每个因素都有其自身的不确定性，当它们结合在一起时，会产生一个结果误差，如果没有得到妥善处理，可能导致结构失败。因此，工程师采用统计方法和模拟来估算和最小化这种误差，以确保安全和功能性。此外，在数据分析领域，结果误差在解释结果时也扮演着关键角色。当分析数据集时，研究人员必须考虑数据收集和处理中的潜在错误。例如，如果一项研究旨在确定一个人群的平均身高，任何个体测量的计算错误都会导致一个结果误差，从而扭曲最终结果。这就是为什么研究人员必须应用严格的方法并将他们的发现与已建立的基准进行验证。此外，结果误差的概念不限于物理测量，而是扩展到包括经济学和社会科学在内的多个领域。在经济建模中，例如，对市场行为的假设可能导致预测中的错误。这些假设在复合时，会产生一个结果误差，可能会误导决策者和利益相关者。认识到并纠正这些错误对于做出明智的决策至关重要。总之，理解结果误差在多个学科中都是基础。它强调了测量准确性的重要性，以及仔细考虑所有导致误差的因素的必要性。通过承认结果误差的存在，专业人士可以实施策略来减轻其影响，从而增强他们工作的可靠性。无论是在科学研究、工程项目还是数据分析中，意识到并处理结果误差是实现准确和可信结果的关键。