measurement error

简明释义

测量误差

英英释义

例句

1.Researchers often conduct multiple trials to reduce the impact of measurement error 测量误差 on their findings.

研究人员通常进行多次试验，以减少测量误差 measurement error对其发现的影响。

2.The scientist noted that the measurement error 测量误差 in their experiment could affect the final results.

科学家注意到他们实验中的测量误差 measurement error可能会影响最终结果。

3.In this study, the measurement error 测量误差 was calculated to be less than 5%.

在这项研究中，测量误差 measurement error被计算为低于5%。

4.The report highlighted the measurement error 测量误差 as a significant factor in the data analysis.

报告强调了测量误差 measurement error是数据分析中的一个重要因素。

5.To minimize measurement error 测量误差, the technician calibrated the equipment before use.

为了最小化测量误差 measurement error，技术员在使用前对设备进行了校准。

作文

Measurement is a fundamental aspect of scientific inquiry, engineering, and even everyday life. However, one critical concept that often complicates the process of obtaining accurate data is measurement error. 测量误差 refers to the difference between the actual value and the value obtained through measurement. Understanding this concept is essential for anyone involved in research or any field that relies on precise data.In scientific experiments, measurement error can arise from various sources. Firstly, there are systematic errors, which 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 incorrect readings, leading to a systematic measurement error. This type of error can often be identified and corrected, but it requires careful attention to detail and regular calibration of instruments.On the other hand, random errors are unpredictable fluctuations that can occur during the measurement process. These may result from environmental factors, such as temperature or humidity changes, or from the observer's subjective judgment. For instance, when measuring the length of an object with a ruler, slight variations in how the ruler is positioned can lead to different readings. This unpredictability makes random errors particularly challenging because they cannot be easily eliminated; instead, they can only be minimized through repeated measurements and statistical analysis.The implications of measurement error are profound, especially in fields like medicine, where accurate data is crucial for patient care. For example, if a doctor relies on faulty blood pressure measurements due to 测量误差, it could lead to misdiagnosis or inappropriate treatment. Thus, understanding and addressing measurement error is vital for ensuring the reliability of results and making informed decisions.Moreover, in the realm of statistics, measurement error affects the validity of research findings. When conducting surveys or experiments, researchers must account for potential 测量误差 to ensure that their conclusions are based on accurate data. Failure to do so can lead to misleading results and erroneous interpretations, ultimately jeopardizing the integrity of the research.To mitigate measurement error, researchers and practitioners can adopt several strategies. One effective approach is to use multiple measurements and calculate an average. This technique helps to smooth out random errors and provides a more accurate representation of the true value. Additionally, employing high-quality instruments and ensuring they are properly maintained can significantly reduce systematic errors.In conclusion, measurement error is an inherent challenge in any field that relies on data collection and analysis. By recognizing the types of errors that can occur and implementing strategies to minimize them, we can enhance the accuracy and reliability of our measurements. Understanding 测量误差 not only improves scientific inquiry but also ensures that decisions made based on data are sound and justifiable. As we continue to advance in technology and methodology, the importance of accurately addressing measurement error will remain a cornerstone of effective research and practice.