systematic error

简明释义

系统误差

英英释义

例句

1.In this study, the systematic error was attributed to the calibration of the instruments used.

在这项研究中，系统误差归因于所用仪器的校准。

2.To improve the reliability of their findings, the team worked to minimize systematic errors in their methodology.

为了提高研究结果的可靠性，团队努力减少方法学中的系统误差。

3.The experiment showed a consistent systematic error that skewed the results, indicating a flaw in the measurement process.

实验显示出一个一致的系统误差，扭曲了结果，这表明测量过程存在缺陷。

4.Researchers must account for any systematic error when analyzing data to ensure accuracy.

研究人员在分析数据时必须考虑任何系统误差以确保准确性。

5.The systematic error in the survey results led to misleading conclusions about public opinion.

调查结果中的系统误差导致对公众舆论的误导性结论。

作文

In the realm of scientific research and data analysis, the concept of systematic error plays a crucial role in determining the accuracy and reliability of results. A systematic error refers to a consistent, repeatable error associated with faulty equipment or a flawed experimental design. Unlike random errors, which vary unpredictably, systematic errors can lead to biased results that skew the conclusions drawn from an experiment. Understanding and identifying these errors is essential for researchers who aim to produce valid and credible findings.For instance, consider a scenario where a scientist is measuring the temperature of a substance using a thermometer. If the thermometer is improperly calibrated and consistently reads two degrees higher than the actual temperature, every measurement taken will be affected by this systematic error. As a result, the scientist may conclude that the substance has a higher boiling point than it actually does, leading to potentially erroneous implications in their research.The impact of systematic errors extends beyond individual experiments; it can influence entire fields of study. In medical research, for example, if a clinical trial consistently underestimates the effectiveness of a new drug due to a systematic error in dosage measurement, it may lead to the premature dismissal of a potentially life-saving treatment. Therefore, addressing systematic errors is vital not only for the integrity of specific studies but also for the advancement of knowledge in various disciplines.To mitigate systematic errors, researchers employ several strategies. First, they must ensure that all instruments are properly calibrated before use. Regular maintenance and verification of equipment can help identify any discrepancies that might introduce bias into the data collection process. Additionally, designing experiments with control groups can help isolate the effects of systematic errors and provide a clearer picture of the true outcomes.Another effective approach is to conduct repeated trials and average the results. While this may not eliminate systematic errors, it can help researchers identify patterns that indicate the presence of such errors. By comparing the averaged results with theoretical expectations or established benchmarks, scientists can detect inconsistencies that suggest a systematic error is at play.Furthermore, peer review and collaboration with other researchers can provide valuable insights into potential systematic errors that one might overlook. Engaging with the scientific community fosters an environment where findings can be scrutinized and validated, ultimately enhancing the credibility of the research.In conclusion, recognizing and addressing systematic errors is fundamental in the pursuit of scientific truth. These errors, if left unchecked, can compromise the validity of research findings and hinder the progress of knowledge across various fields. By implementing rigorous methodologies and promoting collaborative efforts, researchers can minimize the impact of systematic errors and contribute to a more accurate understanding of the world around us. Ultimately, the quest for knowledge demands not only diligence in experimentation but also a commitment to identifying and correcting biases that may distort our understanding of reality.

在科学研究和数据分析领域，系统误差的概念在确定结果的准确性和可靠性方面发挥着至关重要的作用。系统误差是指与设备故障或实验设计缺陷相关的一种一致、可重复的错误。与随机误差不同，后者不可预测地变化，系统误差可能导致偏倚的结果，从而扭曲从实验中得出的结论。理解和识别这些错误对于旨在产生有效和可信结果的研究人员至关重要。例如，考虑一个场景，其中一位科学家使用温度计测量一种物质的温度。如果温度计校准不当，并且始终比实际温度高出两度，那么每次测量都会受到这种系统误差的影响。因此，科学家可能会得出该物质的沸点比实际情况高的结论，导致其研究中可能出现的错误含义。系统误差的影响不仅限于个别实验；它可以影响整个研究领域。例如，在医学研究中，如果由于剂量测量中的系统误差而临床试验始终低估新药的有效性，可能会导致对潜在拯救生命治疗的过早驳回。因此，解决系统误差对于特定研究的完整性以及各学科知识的进步至关重要。为了减轻系统误差，研究人员采用几种策略。首先，他们必须确保在使用之前对所有仪器进行适当校准。定期维护和验证设备可以帮助识别可能引入数据收集过程中的偏差的任何差异。此外，设计具有对照组的实验可以帮助隔离系统误差的影响，并提供更清晰的真实结果图像。另一种有效的方法是进行重复试验并对结果进行平均。虽然这可能无法消除系统误差，但它可以帮助研究人员识别表明存在此类错误的模式。通过将平均结果与理论预期或既定基准进行比较，科学家可以发现表明系统误差存在的不一致性。此外，同行评审和与其他研究人员的合作可以提供关于可能被忽视的潜在系统误差的宝贵见解。与科学界的互动促进了一个可以审查和验证发现的环境，最终增强了研究的可信度。总之，认识和解决系统误差是追求科学真理的基础。这些错误如果不加以控制，可能会损害研究结果的有效性，并阻碍各个领域的知识进步。通过实施严格的方法论和促进合作努力，研究人员可以最小化系统误差的影响，并为更准确地理解我们周围的世界做出贡献。最终，追求知识不仅需要在实验中的勤奋，也需要致力于识别和纠正可能扭曲我们对现实理解的偏见。