measuring error

简明释义

测量误差

英英释义

例句

1.The engineer explained that a measuring error of just a few millimeters could lead to major structural issues.

工程师解释说，只有几毫米的测量误差可能导致重大结构问题。

2.In statistics, measuring error can significantly impact the validity of survey results.

在统计学中，测量误差可能会显著影响调查结果的有效性。

3.To minimize measuring error, we calibrated the instruments before taking any readings.

为了最小化测量误差，我们在进行任何读数之前对仪器进行了校准。

4.The quality control team is responsible for identifying and correcting any measuring error in the production process.

质量控制团队负责识别和纠正生产过程中任何的测量误差。

5.The scientist noted a significant measuring error in the temperature readings, which could affect the experiment's results.

科学家注意到温度读数中存在显著的测量误差，这可能会影响实验结果。

作文

In the world of science and engineering, precision is paramount. Every measurement we take is subject to some degree of uncertainty, which is often referred to as measuring error. This term encompasses all the inaccuracies that can occur during the process of obtaining a measurement, whether it be due to limitations in the measuring instruments, environmental factors, or human error. Understanding measuring error is essential for anyone involved in research or technical fields, as it directly impacts the validity and reliability of the results obtained.There are two primary types of measuring error: systematic errors and random errors. Systematic errors are consistent and repeatable inaccuracies that occur due to flaws in the measurement system. For instance, if a scale is improperly calibrated, it will consistently provide incorrect readings. On the other hand, random errors are unpredictable variations that arise from various factors, such as fluctuations in temperature or human judgment. These errors can lead to different results each time a measurement is taken.To minimize measuring error, researchers must implement rigorous protocols during the measurement process. This includes calibrating instruments before use, conducting multiple trials, and applying statistical methods to analyze the data. By acknowledging and addressing measuring error, scientists can enhance the accuracy of their findings and contribute to the advancement of knowledge in their respective fields.Moreover, the concept of measuring error extends beyond scientific applications. In everyday life, we encounter situations where precise measurements are crucial. For example, when cooking, the exact amount of ingredients can significantly affect the outcome of a dish. If a recipe calls for one cup of flour but the measurement is off due to a faulty measuring cup, the final product may not turn out as expected. Here, the measuring error could lead to disappointing results, highlighting the importance of accuracy in even the simplest tasks.In conclusion, understanding measuring error is vital for achieving reliable outcomes in both scientific research and daily activities. By recognizing the potential sources of error and taking steps to mitigate them, we can improve the quality of our measurements and make informed decisions based on accurate data. Whether in a laboratory or the kitchen, being aware of measuring error allows us to strive for excellence in all our endeavors.

在科学和工程的世界中，精确性至关重要。我们所做的每一个测量都受到某种程度的不确定性，这通常被称为测量误差。这个术语涵盖了在获取测量过程中可能发生的所有不准确性，无论是由于测量仪器的局限性、环境因素还是人为错误。理解测量误差对于任何参与研究或技术领域的人来说都是至关重要的，因为它直接影响到所获得结果的有效性和可靠性。测量误差主要有两种类型：系统误差和随机误差。系统误差是由于测量系统中的缺陷而导致的一致且可重复的不准确性。例如，如果一个天平校准不当，它将始终提供错误的读数。另一方面，随机误差是不可预测的变化，源于各种因素，例如温度波动或人为判断。这些误差可能导致每次测量时结果不同。为了最小化测量误差，研究人员必须在测量过程中实施严格的协议。这包括在使用前校准仪器、进行多次试验以及应用统计方法分析数据。通过承认和解决测量误差，科学家们可以提高其研究结果的准确性，并为各自领域的知识进步做出贡献。此外，测量误差的概念超出了科学应用。在日常生活中，我们遇到的许多情况都需要精确的测量。例如，在烹饪时，成分的确切数量会显著影响菜肴的结果。如果食谱要求一杯面粉，但由于测量杯故障而测量不正确，最终产品可能不会如预期那样好。在这里，测量误差可能导致失望的结果，突显了在即使是最简单的任务中准确性的重要性。总之，理解测量误差对于在科学研究和日常活动中实现可靠成果至关重要。通过认识潜在的误差来源并采取措施减轻这些误差，我们可以提高测量的质量，并根据准确的数据做出明智的决策。无论是在实验室还是厨房，意识到测量误差使我们能够在所有努力中追求卓越。