measurement error

简明释义

测量误差

英英释义

例句

1.To improve accuracy, we need to calibrate the instruments to reduce measurement error.

为了提高准确性，我们需要校准仪器以减少测量误差。

2.The engineer explained how measurement error could affect the design of the bridge.

工程师解释了测量误差如何影响桥梁的设计。

3.The scientist noted a significant measurement error in the temperature readings during the experiment.

科学家注意到实验过程中温度读数存在显著的测量误差。

4.The survey results were skewed due to a measurement error in the data collection process.

由于数据收集过程中的测量误差，调查结果出现偏差。

5.In clinical trials, measurement error can lead to incorrect conclusions about a drug's effectiveness.

在临床试验中，测量误差可能导致对药物有效性的错误结论。

作文

Measurement plays a crucial role in various fields, including science, engineering, and economics. It is the process of quantifying observations or phenomena to make informed decisions or predictions. However, one significant aspect that often complicates the accuracy of measurements is the phenomenon known as measurement error. 测量误差 refers to the difference between the actual value and the measured value. Understanding this concept is essential for anyone involved in measurement-related tasks.In scientific research, accurate measurements are vital for validating hypotheses and theories. Any measurement error can lead to incorrect conclusions, which may misguide future studies. For instance, if a scientist is measuring the temperature of a substance and the thermometer is calibrated incorrectly, the resulting data will be flawed. This measurement error could cause the researcher to believe that a reaction occurs at a different temperature than it actually does, potentially leading to erroneous interpretations of chemical behavior.In engineering, measurement error can have even more critical implications. Engineers rely on precise measurements to design structures and systems that are safe and functional. If there is a measurement error in the dimensions of a bridge, for example, it could compromise the integrity of the entire structure. Therefore, engineers must account for potential measurement errors by using high-quality instruments and performing multiple measurements to ensure reliability.Economists also face challenges related to measurement error. When collecting data on economic indicators such as inflation or unemployment rates, any inaccuracies in measurement can lead to misguided policies. For example, if the unemployment rate is underestimated due to a measurement error, policymakers may not take necessary actions to address the underlying issues in the labor market. This could result in prolonged economic struggles for affected individuals and communities.To mitigate the impact of measurement error, researchers and professionals often employ various statistical techniques. One common method is to take repeated measurements and calculate the average, which can help minimize random errors. Additionally, using more advanced technology and tools can enhance the precision of measurements, reducing the likelihood of measurement errors.Moreover, understanding the sources of measurement error is crucial. These errors can arise from various factors, including instrument limitations, environmental conditions, and human factors. For instance, a scale may have inherent inaccuracies, or a person may misread a measurement due to fatigue or distraction. By identifying these potential sources, individuals can take proactive steps to reduce their impact on the overall measurement process.In conclusion, measurement error is a fundamental concept that affects various disciplines, from science to engineering and economics. Recognizing the significance of measurement error and implementing strategies to minimize its occurrence are essential for achieving accurate and reliable results. As we continue to rely on measurements in our daily lives and professional practices, understanding and addressing measurement error will remain a priority for ensuring the integrity of our findings and decisions.

测量在科学、工程和经济等各个领域中发挥着至关重要的作用。它是对观察或现象进行量化的过程，以便做出明智的决策或预测。然而，一个常常使测量准确性复杂化的重要方面是被称为测量误差的现象。测量误差指的是实际值与测量值之间的差异。理解这个概念对于任何参与测量相关任务的人来说都是必不可少的。在科学研究中，准确的测量对于验证假设和理论至关重要。任何测量误差都可能导致错误的结论，这可能会误导未来的研究。例如，如果一位科学家正在测量物质的温度，而温度计的校准不正确，那么得到的数据将是有缺陷的。这种测量误差可能会导致研究人员相信某个反应发生在不同的温度下，从而可能导致对化学行为的错误解释。在工程领域，测量误差可能具有更关键的影响。工程师依赖精确的测量来设计安全和功能性的结构和系统。如果桥梁的尺寸存在测量误差，例如，这可能会危及整个结构的完整性。因此，工程师必须通过使用高质量的仪器和进行多次测量来考虑潜在的测量误差，以确保可靠性。经济学家在与测量误差相关的挑战中也面临困境。在收集关于经济指标（如通货膨胀或失业率）的数据时，任何测量的不准确都可能导致政策的错误。例如，如果由于测量误差而低估了失业率，政策制定者可能不会采取必要的措施来解决劳动力市场中的根本问题。这可能导致受影响的个人和社区长期经济困难。为了减轻测量误差的影响，研究人员和专业人士通常采用各种统计技术。一种常见的方法是进行重复测量并计算平均值，这可以帮助最小化随机误差。此外，使用更先进的技术和工具可以提高测量的精确度，减少测量误差的可能性。此外，理解测量误差的来源至关重要。这些误差可能来自各种因素，包括仪器限制、环境条件和人为因素。例如，秤可能具有固有的不准确性，或者一个人可能由于疲惫或分心而误读测量。通过识别这些潜在来源，个人可以采取主动措施来减少它们对整体测量过程的影响。总之，测量误差是一个基本概念，影响着从科学到工程和经济的各个学科。认识到测量误差的重要性并实施减少其发生的策略对于实现准确和可靠的结果至关重要。随着我们继续在日常生活和专业实践中依赖测量，理解和解决测量误差将始终是确保我们发现和决策的完整性的优先事项。