systematic error

简明释义

系统误差

英英释义

例句

1.To improve accuracy, we need to identify and eliminate any systematic error in our calculations.

为了提高准确性，我们需要识别并消除计算中的任何系统误差。

2.In clinical trials, systematic error can lead to incorrect conclusions about a drug's efficacy.

在临床试验中，系统误差可能导致对药物疗效的错误结论。

3.The repeated tests showed a consistent systematic error in the data collection process.

重复测试显示数据收集过程中存在一致的系统误差。

4.Researchers must account for systematic error in their experiments to ensure accurate results.

研究人员必须考虑实验中的系统误差以确保结果的准确性。

5.The calibration of the instrument revealed a systematic error that affected all measurements.

仪器的校准揭示了一个系统误差，影响了所有测量。

作文

In the field of science and engineering, accuracy is paramount. Researchers and engineers strive to obtain precise measurements in order to draw valid conclusions and make effective decisions. However, one significant challenge they face is the presence of errors in their measurements. Among these errors, systematic error (系统误差) stands out as a critical factor that can skew results and lead to incorrect interpretations. Understanding systematic error (系统误差) is essential for anyone involved in scientific research or technical work.A systematic error (系统误差) refers to a consistent, repeatable error associated with faulty equipment or a flawed experimental design. Unlike random errors, which vary unpredictably and can often be minimized through repeated measurements, systematic errors (系统误差) are predictable and can lead to bias in the results. For instance, if a scale is improperly calibrated, it may consistently give measurements that are too high or too low. This type of error can significantly affect the outcome of an experiment or measurement.To illustrate the impact of systematic error (系统误差), consider a scenario where a group of students measures the height of a plant using a ruler that is not marked correctly. Each student might consistently record the height as being 2 centimeters shorter than it actually is. In this case, the systematic error (系统误差) arises from the faulty ruler, and all measurements will reflect this bias, leading to an inaccurate conclusion about the plant's growth.Addressing systematic error (系统误差) requires careful consideration and methodological adjustments. One common approach is to perform calibration checks on equipment before conducting experiments. By regularly verifying that instruments are functioning correctly, researchers can minimize the risk of systematic error (系统误差). Additionally, understanding the potential sources of systematic error (系统误差) in a given experiment allows scientists to design better experiments that account for these biases.Furthermore, peer review and replication studies play crucial roles in identifying and correcting systematic errors (系统误差). When researchers share their findings with the scientific community, others can scrutinize their methods and results. If a systematic error (系统误差) is present, it may be identified by others who replicate the study under similar conditions. This collaborative effort helps ensure the integrity and reliability of scientific research.In conclusion, systematic error (系统误差) is a fundamental concept that every scientist and engineer must understand. It represents a consistent bias in measurements that can arise from various sources, including faulty equipment and poor experimental design. By recognizing and addressing systematic errors (系统误差), researchers can enhance the accuracy of their work and contribute to the advancement of knowledge in their respective fields. Ultimately, a thorough understanding of systematic error (系统误差) not only improves individual research outcomes but also strengthens the overall credibility of scientific inquiry.

在科学和工程领域，准确性至关重要。研究人员和工程师努力获得精确的测量，以便得出有效的结论并做出有效的决策。然而，他们面临的一个重大挑战是测量中存在的误差。在这些误差中，系统误差（systematic error）作为一个关键因素，可能会扭曲结果并导致错误的解释。理解系统误差（systematic error）对任何参与科学研究或技术工作的人来说都是必不可少的。系统误差（systematic error）指的是与设备故障或实验设计缺陷相关的持续、可重复的误差。与随机误差不同，随机误差是不确定的，并且通常可以通过重复测量来最小化，而系统误差（systematic error）是可预测的，并可能导致结果的偏差。例如，如果一个秤没有正确校准，它可能会始终给出过高或过低的测量值。这种类型的误差可能会显著影响实验或测量的结果。为了说明系统误差（systematic error）的影响，考虑一个场景，其中一组学生使用标记不正确的尺子测量植物的高度。每个学生可能一致地记录植物的高度比实际低2厘米。在这种情况下，系统误差（systematic error）来自于有缺陷的尺子，所有测量都将反映这种偏差，从而导致关于植物生长的不准确结论。解决系统误差（systematic error）需要仔细考虑和方法调整。一种常见的方法是在进行实验之前对设备进行校准检查。通过定期验证仪器是否正常工作，研究人员可以最小化系统误差（systematic error）的风险。此外，了解特定实验中可能出现的系统误差（systematic error）来源，可以使科学家设计更好的实验，以考虑这些偏差。此外，同行评审和重复研究在识别和纠正系统误差（systematic error）方面发挥着至关重要的作用。当研究人员向科学界分享他们的发现时，其他人可以审查他们的方法和结果。如果存在系统误差（systematic error），它可能会在其他人以类似条件重复研究时被识别出来。这种协作努力有助于确保科学研究的完整性和可靠性。总之，系统误差（systematic error）是每个科学家和工程师必须理解的基本概念。它代表了测量中的一致偏差，可能源于各种因素，包括设备故障和实验设计不良。通过识别和解决系统误差（systematic error），研究人员可以提高其工作的准确性，并为各自领域的知识进步做出贡献。最终，对系统误差（systematic error）的透彻理解不仅改善了个人研究成果，还增强了科学探究的整体可信度。