error of measurement

简明释义

测量误差

英英释义

例句

1.In scientific experiments, an error of measurement 测量误差 can lead to inaccurate results.

在科学实验中，测量误差 error of measurement 可能导致不准确的结果。

2.The survey revealed a significant error of measurement 测量误差 in the data collected.

调查显示收集的数据存在显著的测量误差 error of measurement。

3.Understanding the sources of error of measurement 测量误差 is crucial for improving accuracy.

理解测量误差 error of measurement 的来源对于提高准确性至关重要。

4.The engineer noted that an error of measurement 测量误差 could affect the safety of the structure.

工程师指出，测量误差 error of measurement 可能影响结构的安全性。

5.To minimize the error of measurement 测量误差, calibration of the instruments is essential.

为了最小化测量误差 error of measurement，仪器的校准是必不可少的。

作文

In the field of science and engineering, precision is of utmost importance. When conducting experiments or making measurements, one must always consider the potential for an error of measurement (测量误差). This term refers to the difference between the actual value and the value obtained through measurement. Understanding this concept is crucial for anyone involved in quantitative research or data analysis.The error of measurement can arise from various sources, including instrument limitations, environmental factors, and human error. For instance, if a scientist uses a scale that is not calibrated correctly, the readings may be consistently higher or lower than the actual weight. This type of systematic error can lead to misleading results, which may affect the validity of the entire study.Another source of error of measurement is random error, which occurs due to unpredictable fluctuations in the measurement process. For example, if a researcher is measuring the temperature of a substance, slight variations in the room temperature or the timing of the measurement can introduce discrepancies. These random errors can be minimized through repeated measurements and statistical analysis, but they can never be completely eliminated.Moreover, understanding the error of measurement is essential when interpreting data. Researchers must report not only their findings but also the degree of uncertainty associated with those findings. This uncertainty is often expressed as a confidence interval or margin of error, which provides insight into how much trust we can place in the results. Without acknowledging the potential for error of measurement, conclusions drawn from data may be overly optimistic or misleading.In practical applications, engineers and scientists use various techniques to reduce the error of measurement. Calibration of instruments is a fundamental step in ensuring accuracy. Regular checks and maintenance of equipment help ensure that measurements remain reliable over time. Furthermore, training personnel to follow standardized procedures can significantly reduce human error, which is often a major contributor to measurement inaccuracies.In conclusion, the error of measurement (测量误差) is a critical concept in scientific research and engineering. It encompasses both systematic and random errors that can affect the accuracy and reliability of measurements. By understanding and addressing these errors, researchers can improve the quality of their work and contribute to more accurate scientific knowledge. Ultimately, recognizing the presence of error of measurement allows for a more nuanced interpretation of data, fostering a deeper understanding of the complexities involved in measurement and analysis. This awareness is vital for advancing our understanding of the world and making informed decisions based on empirical evidence.

在科学和工程领域，精确性至关重要。当进行实验或进行测量时，必须始终考虑测量误差的潜在性。这个术语指的是实际值与通过测量获得的值之间的差异。理解这个概念对任何参与定量研究或数据分析的人来说都是至关重要的。测量误差可能来自多种来源，包括仪器限制、环境因素和人为错误。例如，如果科学家使用的秤没有正确校准，读数可能会比实际重量高或低。这种系统性错误可能导致误导性结果，从而影响整个研究的有效性。另一个测量误差的来源是随机误差，它由于测量过程中的不可预测波动而发生。例如，如果研究人员正在测量某种物质的温度，房间温度的轻微变化或测量时机的不同都可能引入差异。这些随机误差可以通过重复测量和统计分析来最小化，但永远无法完全消除。此外，理解测量误差在数据解读中至关重要。研究人员不仅必须报告他们的发现，还必须报告与这些发现相关的不确定性。这种不确定性通常以置信区间或误差范围的形式表示，提供了我们对结果信任程度的洞察。如果不承认测量误差的潜在性，从数据得出的结论可能过于乐观或具有误导性。在实际应用中，工程师和科学家使用各种技术来减少测量误差。仪器的校准是确保准确性的基本步骤。定期检查和维护设备有助于确保测量在一段时间内保持可靠。此外，培训人员遵循标准化程序可以显著减少人为错误，这往往是测量不准确的主要原因。总之，测量误差是科学研究和工程中的一个关键概念。它包括可能影响测量准确性和可靠性的系统性和随机性错误。通过理解和解决这些错误，研究人员可以提高其工作的质量，为更准确的科学知识做出贡献。最终，认识到测量误差的存在使我们能够更细致地解读数据，促进对测量和分析中涉及的复杂性更深入的理解。这种意识对于推进我们对世界的理解以及基于经验证据做出明智决策至关重要。