combined errors

简明释义

混合差错

英英释义

例句

1.The engineer reported that the combined errors in the measurements led to a faulty design.

工程师报告说，测量中的综合误差导致了设计缺陷。

2.By analyzing the combined errors, we can identify the main sources of inaccuracies.

通过分析综合误差，我们可以识别出主要的不准确来源。

3.The final results were affected by the combined errors of data collection and analysis.

最终结果受到数据收集和分析的综合误差的影响。

4.The software calculates the combined errors to improve the accuracy of the results.

该软件计算综合误差以提高结果的准确性。

5.In our study, we accounted for the combined errors to ensure more accurate predictions.

在我们的研究中，我们考虑了综合误差以确保更准确的预测。

作文

In the realm of mathematics and statistics, the term combined errors refers to the total uncertainty or inaccuracy that arises when multiple sources of error are present in a measurement or calculation. Understanding combined errors is crucial for ensuring the reliability of data and making informed decisions based on that data. For instance, when conducting an experiment, researchers must account for various types of errors such as systematic errors, random errors, and human errors. Each of these errors can affect the final outcome of the experiment, and when they occur together, they contribute to what we call combined errors. To illustrate this concept, let’s consider a simple example involving the measurement of the length of a table. Suppose a researcher uses a ruler that has a slight manufacturing defect, causing it to be off by 1 millimeter. This is a systematic error. Additionally, if the researcher measures the table length at different times and obtains slightly different results due to variations in their measuring technique, this introduces random errors. When these errors are added together, they form the combined errors that ultimately affect the accuracy of the measurement. The significance of understanding combined errors extends beyond just scientific research. In everyday life, we encounter situations where we need to make decisions based on measurements. For example, in construction, an architect must ensure that the dimensions of a building are accurate. If the architect fails to account for combined errors in measurements, it could lead to structural issues or safety hazards. Therefore, recognizing and mitigating these errors is essential for achieving precision in any field. Moreover, in the world of finance, investors often rely on statistical models to make predictions about market trends. If these models fail to accurately represent the combined errors in the data, investors may make poor decisions that could result in significant financial losses. Hence, financial analysts must be diligent in identifying potential sources of error and incorporating them into their analyses. In conclusion, the concept of combined errors is vital across various disciplines, from science to engineering and finance. By acknowledging the presence of multiple sources of error and understanding how they interact, individuals can improve the accuracy of their measurements and the reliability of their conclusions. Whether in a laboratory, a construction site, or a stock market analysis, being aware of combined errors helps us navigate uncertainties and enhances our decision-making processes.

在数学和统计学领域，术语combined errors指的是在测量或计算中，当存在多种误差来源时所产生的总不确定性或不准确性。理解combined errors对于确保数据的可靠性以及基于该数据做出明智的决策至关重要。例如，在进行实验时，研究人员必须考虑各种类型的误差，如系统误差、随机误差和人为误差。这些误差中的每一种都可能影响实验的最终结果，当它们共同发生时，就会形成我们所称的combined errors。为了说明这一概念，让我们考虑一个简单的例子，涉及测量一张桌子的长度。假设研究人员使用的尺子有轻微的制造缺陷，导致其偏差为1毫米。这是一个系统误差。此外，如果研究人员在不同时间测量桌子长度，并由于测量技巧的变化而获得略有不同的结果，这就引入了随机误差。当这些误差加在一起时，它们形成了影响测量准确性的combined errors。理解combined errors的重要性不仅仅局限于科学研究。在日常生活中，我们会遇到需要根据测量结果做出决策的情况。例如，在建筑中，建筑师必须确保建筑的尺寸是准确的。如果建筑师未能考虑测量中的combined errors，可能会导致结构问题或安全隐患。因此，识别和减轻这些误差对于实现各个领域的精确性至关重要。此外，在金融领域，投资者通常依赖统计模型来预测市场趋势。如果这些模型未能准确表示数据中的combined errors，投资者可能会做出糟糕的决策，从而导致重大财务损失。因此，金融分析师必须认真识别潜在的误差来源，并将其纳入分析中。总之，combined errors的概念在科学、工程和金融等多个学科中至关重要。通过承认多种误差来源的存在并理解它们如何相互作用，个人可以提高测量的准确性和结论的可靠性。无论是在实验室、建筑工地还是股市分析中，意识到combined errors都有助于我们应对不确定性，并增强我们的决策过程。