measuring error

简明释义

测量误差

英英释义

Measuring error refers to the difference between the actual value of a quantity and the value obtained through measurement.

测量误差是指某一量的真实值与通过测量获得的值之间的差异。

It can arise from various sources, including instrument limitations, environmental factors, and human mistakes.

它可能来源于多种因素,包括仪器限制、环境因素和人为错误。

Measuring error is often categorized into systematic errors and random errors.

测量误差通常分为系统误差和随机误差。

例句

1.A small measuring error can lead to large discrepancies in the final calculations.

一个小的测量误差可能导致最终计算中的巨大差异。

2.Engineers must account for measuring error when designing precision machinery.

工程师在设计精密机械时必须考虑测量误差

3.The scientist noted a significant measuring error in the temperature readings, which affected the experiment's results.

科学家注意到温度读数中存在显著的测量误差,这影响了实验结果。

4.To minimize measuring error, we recalibrated the instruments before conducting the tests.

为了最小化测量误差,我们在进行测试之前重新校准了仪器。

5.The report highlighted the measuring error associated with the new method of data collection.

报告强调了与新数据收集方法相关的测量误差

作文

In the realm of science and engineering, precision is paramount. One of the key concepts that professionals must grasp is measuring error, which refers to the difference between the actual value and the value obtained through measurement. Understanding measuring error is essential for ensuring the accuracy and reliability of experimental results. For instance, when a scientist measures the temperature of a liquid using a thermometer, the reading may not always reflect the true temperature due to various factors. These discrepancies can arise from instrument calibration, environmental conditions, or human error. Thus, recognizing and quantifying measuring error becomes crucial in assessing the validity of the data collected.There are two main 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 example, if a scale is improperly calibrated, it will consistently give inaccurate readings, leading to a systematic measuring error. On the other hand, random errors are unpredictable and can vary from one measurement to another. These may be caused by external factors such as fluctuations in temperature or pressure, or by limitations in the observer’s ability to read the measurement instrument accurately.To minimize measuring error, scientists and engineers employ various strategies. Calibration of instruments is a fundamental practice that helps ensure measurements are as accurate as possible. Regularly checking and adjusting equipment can significantly reduce systematic errors. Additionally, taking multiple measurements and calculating an average can help mitigate the impact of random errors. By doing so, researchers can achieve a more reliable estimate of the true value they are trying to measure.Moreover, understanding the concept of measuring error is not only important in scientific fields but also in everyday life. For instance, when cooking, precise measurements of ingredients can greatly affect the outcome of a dish. If a recipe calls for a specific amount of flour but the measuring cup is not accurate, the resulting cake may not rise properly. This illustrates how measuring error can have real-world consequences beyond the laboratory.In conclusion, the importance of understanding measuring error cannot be overstated. It plays a vital role in ensuring the credibility of scientific research and the effectiveness of engineering solutions. By acknowledging the presence of measuring error and implementing strategies to minimize it, professionals can enhance the quality of their work. Ultimately, whether in a laboratory or a kitchen, being aware of the potential for measuring error allows individuals to make informed decisions and achieve better outcomes in their endeavors.

在科学和工程领域,精确性至关重要。专业人士必须掌握的关键概念之一是测量误差,它指的是实际值与通过测量获得的值之间的差异。理解测量误差对于确保实验结果的准确性和可靠性至关重要。例如,当科学家使用温度计测量液体的温度时,由于各种因素,读数可能并不总是反映真实温度。这些差异可能源于仪器校准、环境条件或人为错误。因此,认识和量化测量误差在评估所收集数据的有效性方面变得至关重要。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,如果一个秤没有正确校准,它将始终给出不准确的读数,从而导致系统性的测量误差。另一方面,随机误差是不可预测的,可能在一次测量与另一测量之间变化。这可能是由于外部因素如温度或压力波动,或由于观察者读取测量仪器的能力的限制所造成的。为了最小化测量误差,科学家和工程师采用各种策略。仪器的校准是一项基本实践,有助于确保测量尽可能准确。定期检查和调整设备可以显著减少系统误差。此外,进行多次测量并计算平均值可以帮助减轻随机误差的影响。通过这样做,研究人员可以获得更可靠的真实值估计。此外,理解测量误差这一概念不仅在科学领域重要,在日常生活中也同样重要。例如,在烹饪时,成分的精确测量会极大影响菜肴的结果。如果食谱要求特定量的面粉,但量杯不准确,最终的蛋糕可能不会正确膨胀。这说明了测量误差如何在实验室之外产生现实世界的后果。总之,理解测量误差的重要性不容忽视。它在确保科学研究的可信度和工程解决方案的有效性方面发挥着重要作用。通过承认测量误差的存在并实施减少其影响的策略,专业人士可以提高他们工作的质量。最终,无论是在实验室还是厨房,意识到潜在的测量误差使个人能够做出明智的决策,并在他们的努力中取得更好的结果。

相关单词

measuring

measuring详解:怎么读、什么意思、用法