observational error

简明释义

观测误差

英英释义

例句

1.Even small observational errors 观察误差 can lead to significant discrepancies in long-term studies.

即使是小的观察误差 观察误差也可能导致长期研究中的重大差异。

2.The observational error 观察误差 in the survey results raised questions about the validity of the findings.

调查结果中的观察误差 观察误差引发了对研究结果有效性的质疑。

3.To minimize observational error 观察误差, the researchers calibrated their instruments before each measurement.

为了最小化观察误差 观察误差，研究人员在每次测量前校准了他们的仪器。

4.In astronomy, observational error 观察误差 can occur due to atmospheric conditions affecting visibility.

在天文学中，由于大气条件影响可见性，可能会发生观察误差 观察误差。

5.The scientist noted that the observational error 观察误差 in the experiment could skew the results significantly.

科学家指出，实验中的观察误差 观察误差可能会显著扭曲结果。

作文

In the realm of scientific research and data collection, the concept of observational error plays a crucial role in determining the accuracy and reliability of findings. Observational error refers to the discrepancies that arise between the actual value of a phenomenon and the value obtained through measurement or observation. These errors can significantly impact the conclusions drawn from research studies and influence decision-making processes in various fields such as medicine, environmental science, and social sciences.One of the primary sources of observational error is human judgment. For instance, when researchers conduct surveys or experiments, their interpretations of data can be subjective. This subjectivity may lead to biased results, especially if the observer has preconceived notions about the outcomes. Additionally, factors such as fatigue, distraction, or lack of expertise can further exacerbate these errors. Therefore, it is essential for researchers to remain objective and utilize standardized procedures to minimize the impact of human judgment on their observations.Another significant contributor to observational error is the limitations of measurement instruments. Instruments may have inherent inaccuracies due to calibration issues or limitations in their design. For example, a thermometer that is not properly calibrated may yield incorrect temperature readings, leading to flawed conclusions in an experiment. To mitigate this type of error, researchers must ensure that their instruments are regularly checked and calibrated according to established standards, ensuring the reliability of their measurements.Environmental factors can also introduce observational error. In field studies, variables such as weather conditions, light levels, and noise can affect the accuracy of observations. For instance, conducting a wildlife survey during a noisy period may result in undercounting animal populations, as the noise could disturb their natural behavior. Researchers must be aware of these environmental influences and account for them in their study designs to enhance the validity of their findings.Moreover, observational error can occur due to sampling issues. If a sample is not representative of the population being studied, the observations made may not accurately reflect the true characteristics of that population. This can lead to misleading conclusions and poor decisions based on the data collected. To combat this issue, researchers should employ random sampling techniques and ensure that their sample sizes are adequate to capture the diversity of the population.In conclusion, understanding and addressing observational error is vital for researchers across various disciplines. By recognizing the potential sources of these errors—such as human judgment, instrument limitations, environmental factors, and sampling issues—scientists can take proactive steps to minimize their impact. This, in turn, enhances the credibility of research findings and contributes to more informed decision-making. Ultimately, acknowledging the presence of observational error and striving for accuracy in measurements will lead to advancements in knowledge and better outcomes in practical applications across multiple fields.

在科学研究和数据收集的领域中，观察误差的概念在确定研究结果的准确性和可靠性方面起着至关重要的作用。观察误差是指实际现象的值与通过测量或观察获得的值之间的差异。这些误差会显著影响研究研究得出的结论，并影响医学、环境科学和社会科学等各个领域的决策过程。观察误差的主要来源之一是人类判断。例如，当研究人员进行调查或实验时，他们对数据的解释可能是主观的。这种主观性可能导致结果的偏见，特别是当观察者对结果有先入为主的看法时。此外，疲劳、分心或缺乏专业知识等因素会进一步加剧这些错误。因此，研究人员必须保持客观，利用标准化程序来尽量减少人类判断对观察结果的影响。另一个显著的观察误差来源是测量仪器的局限性。仪器可能因校准问题或设计局限性而具有固有的不准确性。例如，未正确校准的温度计可能会产生错误的温度读数，从而导致实验中的错误结论。为了减轻这种类型的误差，研究人员必须确保他们的仪器根据既定标准定期检查和校准，以确保测量的可靠性。环境因素也可以引入观察误差。在实地研究中，天气条件、光照水平和噪音等变量可能会影响观察的准确性。例如，在嘈杂的时期进行野生动物调查可能导致动物种群的低估，因为噪音可能会干扰它们的自然行为。研究人员必须意识到这些环境影响，并在研究设计中考虑这些因素，以增强研究结果的有效性。此外，观察误差还可能由于抽样问题而发生。如果样本不能代表所研究的人群，则所做的观察可能无法准确反映该人群的真实特征。这可能导致误导性的结论和基于所收集数据的糟糕决策。为了应对这个问题，研究人员应该采用随机抽样技术，并确保他们的样本量足够大，以捕捉人群的多样性。总之，理解和解决观察误差对于各个学科的研究人员来说至关重要。通过识别这些误差的潜在来源，如人类判断、仪器局限性、环境因素和抽样问题，科学家们可以采取积极措施来最小化其影响。这反过来又增强了研究结果的可信度，并有助于更明智的决策。最终，承认观察误差的存在并努力提高测量的准确性将推动知识的进步，并在多个领域的实际应用中带来更好的结果。