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 correct any systematic error in our experimental setup.

为了提高准确性，我们需要识别并纠正实验设置中的任何系统误差。

2.Researchers must account for systematic error when analyzing their data to ensure valid conclusions.

研究人员在分析数据时必须考虑到系统误差，以确保结论有效。

3.The systematic error in the calibration of the instrument led to incorrect data being recorded.

仪器校准中的系统误差导致记录的数据不正确。

4.A systematic error can often be traced back to a flaw in the measurement technique used.

一个系统误差通常可以追溯到所使用的测量技术中的缺陷。

5.The repeated measurements showed a consistent systematic error that affected the final results.

重复的测量显示出一致的系统误差，影响了最终结果。

作文

In the field of science and engineering, accuracy is paramount. When conducting experiments or measurements, researchers strive to obtain results that reflect the true value of what is being studied. However, one common obstacle that can hinder this pursuit of accuracy is the presence of systematic error. A systematic error refers to a consistent, repeatable error associated with faulty equipment or a flawed experimental design. Unlike random errors, which can vary from one measurement to another, systematic errors produce bias in the results, leading to incorrect conclusions.To illustrate the concept of systematic error, consider a scenario where a scientist is measuring the temperature of a substance using a thermometer that has not been calibrated correctly. If the thermometer 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 is at a higher temperature than it truly is, potentially leading to misguided theories or applications based on inaccurate data.Identifying and correcting systematic errors is crucial for ensuring the reliability of scientific research. One common method for detecting these errors is through the use of control groups or reference materials. By comparing the results obtained from experimental groups with those from a known standard, researchers can identify discrepancies that may indicate the presence of a systematic error. Once identified, steps can be taken to mitigate the impact of these errors, such as recalibrating instruments or redesigning experiments.Moreover, understanding systematic error is not limited to laboratory settings; it also has practical implications in everyday life. For instance, in the field of education, standardized tests are often used to assess student performance. If a test consistently favors one demographic group over another due to biased questions or scoring methods, it introduces a systematic error in evaluating students’ true abilities. Recognizing such biases is essential for creating fair and equitable assessment systems.In conclusion, systematic error poses a significant challenge in both scientific research and everyday evaluations. It is essential for researchers, educators, and practitioners across various fields to be aware of the potential for systematic errors and to implement strategies for their identification and correction. By doing so, we can enhance the accuracy and credibility of our findings, leading to better decision-making and advancements in knowledge. Ultimately, the pursuit of accuracy demands diligence in recognizing and addressing systematic errors wherever they may arise.

在科学和工程领域，准确性至关重要。在进行实验或测量时，研究人员努力获得反映所研究事物真实价值的结果。然而，一个常见的障碍是存在系统误差。系统误差指的是与故障设备或实验设计缺陷相关的持续可重复的错误。与可能在一次测量到另一测量中变化的随机误差不同，系统误差会导致结果产生偏差，从而得出错误的结论。为了说明系统误差的概念，考虑一个场景：一位科学家正在使用未正确校准的温度计测量某种物质的温度。如果温度计始终比实际温度高两度，那么每次测量都将受到这种系统误差的影响。因此，科学家可能会得出该物质温度高于实际值的结论，这可能导致基于不准确数据的误导性理论或应用。识别和纠正系统误差对于确保科学研究的可靠性至关重要。检测这些错误的一种常见方法是使用对照组或参考材料。通过将实验组的结果与已知标准进行比较，研究人员可以识别出可能表明存在系统误差的差异。一旦识别出这些错误，就可以采取措施减轻其影响，例如重新校准仪器或重新设计实验。此外，理解系统误差不仅限于实验室环境；它在日常生活中也具有实际意义。例如，在教育领域，标准化测试通常用于评估学生的表现。如果由于有偏见的问题或评分方法，某项测试始终偏向某个特定群体，就会在评估学生真实能力时引入系统误差。认识到这种偏见对于创建公平和公正的评估系统至关重要。总之，系统误差在科学研究和日常评估中都构成了重大挑战。各个领域的研究人员、教育工作者和从业者必须意识到系统误差的潜在性，并实施识别和纠正的策略。通过这样做，我们可以提高研究结果的准确性和可信度，从而改善决策和知识的进步。最终，追求准确性需要在识别和解决任何可能出现的系统误差方面保持谨慎。