combined error

简明释义

总误差

英英释义

例句

1.The report highlighted the combined error 综合误差 observed during the analysis phase.

报告强调了分析阶段观察到的combined error综合误差。

2.The combined error 综合误差 makes it difficult to determine the accuracy of the results.

由于combined error综合误差，很难确定结果的准确性。

3.In our experiment, we calculated the combined error 综合误差 from various measurements.

在我们的实验中，我们计算了不同测量值的combined error综合误差。

4.The final result showed a significant combined error 综合误差 due to multiple factors.

最终结果显示，由于多个因素导致了显著的combined error综合误差。

5.To improve precision, we need to minimize the combined error 综合误差 in our calculations.

为了提高精度，我们需要最小化计算中的combined error综合误差。

作文

In the realm of statistics and data analysis, understanding the concept of combined error is crucial for accurate interpretation of results. The term combined error refers to the total error that arises when multiple sources of error are present in a measurement or calculation. This can occur in various fields, such as engineering, finance, and scientific research, where precision is paramount. To illustrate this, consider the process of measuring the height of a building using a laser rangefinder. The device may have its own inherent accuracy limitations, producing a certain degree of error. Additionally, factors such as the angle of measurement, environmental conditions, and human error in reading the device can further contribute to discrepancies in the final height measurement. When all these errors are taken into account, the result is a combined error that reflects the cumulative impact of each individual source of error.Understanding combined error is essential for researchers and analysts as it helps them to assess the reliability of their data. For instance, if a scientist is conducting an experiment to determine the boiling point of a substance, they must consider the combined error from their measuring instruments, the purity of the substance, and external factors such as atmospheric pressure. Failing to account for these variables could lead to incorrect conclusions and undermine the validity of the research.Moreover, in the field of finance, investors often encounter combined error when analyzing market trends. Various factors, such as economic indicators, company performance, and geopolitical events, can influence stock prices. Each of these factors carries its own degree of uncertainty, and when combined, they create a combined error that investors must navigate to make informed decisions. By understanding the combined error, investors can better gauge the risks associated with their investments and adjust their strategies accordingly.In practical applications, managing combined error involves employing statistical methods and tools to quantify and minimize errors. Techniques such as error propagation and uncertainty analysis allow professionals to estimate the combined error in their calculations, leading to more reliable outcomes. For example, engineers might use Monte Carlo simulations to model the potential variations in their designs, helping them to understand how different errors interact and affect the overall performance of a system.Ultimately, grasping the significance of combined error empowers individuals across various disciplines to enhance the accuracy of their work. Whether in scientific experiments, financial analyses, or engineering projects, recognizing and addressing the combined error ensures that conclusions drawn from data are both valid and actionable. As we continue to rely on data-driven decision-making in our increasingly complex world, the importance of understanding and managing combined error cannot be overstated. It serves as a reminder that while striving for precision, we must remain vigilant about the uncertainties that accompany our measurements and analyses.

在统计学和数据分析的领域中，理解“combined error”这一概念对于准确解读结果至关重要。术语“combined error”指的是当测量或计算中存在多个误差来源时所产生的总误差。这种情况可以发生在工程、金融和科学研究等各种领域，其中精确性至关重要。为了说明这一点，考虑使用激光测距仪测量建筑物高度的过程。该设备可能具有固有的准确性限制，产生一定程度的误差。此外，测量角度、环境条件以及读取设备时的人为误差等因素也可能进一步导致最终高度测量中的差异。当所有这些误差都被考虑在内时，结果就是一个反映每个个体误差累积影响的“combined error”。理解“combined error”对研究人员和分析师来说是至关重要的，因为它帮助他们评估数据的可靠性。例如，如果一位科学家正在进行实验以确定某种物质的沸点，他们必须考虑来自测量仪器的“combined error”、物质的纯度以及外部因素（如大气压力）。未能考虑这些变量可能导致错误的结论，并削弱研究的有效性。此外，在金融领域，投资者在分析市场趋势时经常会遇到“combined error”。各种因素，如经济指标、公司业绩和地缘政治事件，都可能影响股票价格。每个因素都带有一定程度的不确定性，当它们结合在一起时，就形成了投资者必须应对的“combined error”，以便做出明智的决策。通过理解“combined error”，投资者可以更好地评估与其投资相关的风险，并相应调整策略。在实际应用中，管理“combined error”涉及采用统计方法和工具来量化和最小化误差。误差传播和不确定性分析等技术使专业人员能够估算计算中的“combined error”，从而得出更可靠的结果。例如，工程师可能使用蒙特卡罗模拟来建模设计中的潜在变异，帮助他们理解不同误差如何相互作用并影响系统的整体性能。最终，掌握“combined error”的重要性使各个学科的个人能够提高其工作的准确性。无论是在科学实验、金融分析还是工程项目中，识别和解决“combined error”确保从数据中得出的结论既有效又可操作。随着我们在日益复杂的世界中继续依赖数据驱动的决策，理解和管理“combined error”的重要性不容小觑。它提醒我们，在追求精确性的同时，必须对伴随我们测量和分析的不确定性保持警惕。