governing error

简明释义

主要误差

英英释义

A governing error refers to a fundamental mistake or oversight that influences the overall outcome or decision-making process in a given context.

治理错误是指在特定情境中影响整体结果或决策过程的基本错误或疏忽。

例句

1.Training sessions were held to address the governing error in the team's workflow.

举行了培训会议以解决团队工作流程中的管理错误

2.The software update fixed the governing error that was causing system crashes.

软件更新修复了导致系统崩溃的管理错误

3.After reviewing the data, we found a governing error that skewed our findings significantly.

在审查数据后,我们发现了一个显著影响我们发现的管理错误

4.We need to identify the governing error in our calculations to ensure accurate results.

我们需要识别出计算中的管理错误以确保结果的准确性。

5.The project manager highlighted a governing error in the budget report that needed correction.

项目经理强调了预算报告中需要修正的管理错误

作文

In the realm of science and mathematics, the concept of error is paramount. Errors can arise from various sources, and understanding them is crucial for accurate results. One particular type of error that often goes unnoticed is the governing error. This term refers to the primary source of error that dictates the overall accuracy of a measurement or calculation. It is essential to identify and address this error to enhance the reliability of any scientific endeavor.To illustrate the significance of the governing error, consider the process of measuring the temperature of a substance using a thermometer. If the thermometer is not calibrated correctly, it may produce consistently inaccurate readings. In this case, the calibration error becomes the governing error because it influences all subsequent measurements derived from that thermometer. Even if other minor errors are present, such as those caused by environmental factors, the calibration error remains the most critical factor affecting the overall accuracy of the temperature readings.The implications of governing errors extend beyond simple measurements. In fields like engineering, where precision is vital, the presence of a governing error can lead to catastrophic failures. For instance, if an engineer miscalculates the load-bearing capacity of a bridge due to a fundamental error in their calculations, the consequences could be dire. Identifying the governing error in such scenarios is crucial for ensuring safety and functionality.Moreover, the identification of governing errors is not limited to physical sciences. In social sciences and economics, researchers must also be aware of the potential for biases that can skew their findings. For example, if a study on consumer behavior fails to account for demographic differences, the resulting conclusions might be flawed. Here, the oversight of demographic factors can serve as a governing error, leading to misleading interpretations of data and ineffective policy recommendations.To mitigate the impact of governing errors, several strategies can be employed. First, thorough validation of methods and tools used in research is essential. Regular calibration of instruments, double-checking calculations, and employing peer reviews can significantly reduce the risk of governing errors. Second, researchers should adopt a mindset of skepticism and critical thinking, always questioning their assumptions and methodologies. By doing so, they can uncover potential errors before they compromise the integrity of their work.In conclusion, the concept of governing error is vital for anyone engaged in scientific research, engineering, or data analysis. Recognizing that certain errors have a more profound impact on outcomes than others allows professionals to prioritize their efforts in error correction. By focusing on identifying and addressing governing errors, we can improve the accuracy and reliability of our findings, ultimately leading to better decision-making and advancements in knowledge across various fields. Understanding and mastering the implications of governing error is not just an academic exercise; it is a necessary step toward achieving excellence in any discipline that relies on precise measurement and analysis.

在科学和数学领域,误差的概念至关重要。误差可能来自各种来源,理解它们对准确结果至关重要。其中一个常常被忽视的误差类型是主导误差。这个术语指的是决定测量或计算整体准确性的主要误差来源。识别和解决这个误差对于提高任何科学工作的可靠性至关重要。为了说明主导误差的重要性,考虑使用温度计测量物质温度的过程。如果温度计未正确校准,它可能会产生持续不准确的读数。在这种情况下,校准误差成为主导误差,因为它影响所有基于该温度计得出的后续测量。即使存在其他小误差,例如环境因素造成的误差,校准误差仍然是影响温度读数整体准确性的最关键因素。主导误差的影响不仅限于简单的测量。在工程等对精确度要求极高的领域,主导误差的存在可能导致灾难性的失败。例如,如果一名工程师因计算错误而误算了桥梁的承载能力,则后果可能是严重的。在这种情况下,识别主导误差至关重要,以确保安全和功能。此外,主导误差的识别并不限于自然科学。在社会科学和经济学中,研究人员也必须意识到可能导致其发现偏差的潜在因素。例如,如果一项关于消费者行为的研究未能考虑人口统计差异,结果得出的结论可能是有缺陷的。在这里,忽视人口因素可以作为主导误差,导致数据解读误导和无效的政策建议。为了减轻主导误差的影响,可以采用几种策略。首先,彻底验证研究中使用的方法和工具至关重要。定期校准仪器、仔细检查计算和进行同行评审可以显著降低主导误差的风险。其次,研究人员应采取怀疑和批判性思维的心态,始终质疑他们的假设和方法。通过这样做,他们可以在损害工作完整性之前发现潜在的错误。总之,主导误差的概念对于任何从事科学研究、工程或数据分析的人来说都是至关重要的。认识到某些误差对结果的影响比其他误差更深远,使专业人员能够优先考虑错误修正工作。通过专注于识别和解决主导误差,我们可以提高研究结果的准确性和可靠性,最终促进各个领域的决策制定和知识进步。理解和掌握主导误差的含义不仅仅是学术练习;这是实现任何依赖精确测量和分析的学科卓越的必要步骤。