random error

简明释义

随机误差

英英释义

例句

1.The survey results were affected by random error 随机误差, leading to unreliable data.

调查结果受到了随机误差随机误差的影响，导致数据不可靠。

2.In statistical analysis, we must account for random error 随机误差 to ensure the validity of our results.

在统计分析中，我们必须考虑随机误差随机误差以确保结果的有效性。

3.The data collected from the experiment showed significant random error 随机误差, making it difficult to draw accurate conclusions.

从实验中收集的数据表明存在显著的随机误差随机误差，这使得得出准确的结论变得困难。

4.The random error 随机误差 in the measurements could be due to environmental factors.

测量中的随机误差随机误差可能是由于环境因素造成的。

5.To minimize random error 随机误差, we repeated the experiment multiple times.

为了最小化随机误差随机误差，我们多次重复实验。

作文

In the world of science and research, accuracy is paramount. However, no matter how careful researchers are, they often encounter various types of errors in their experiments. One significant type of error is known as random error, which can greatly affect the reliability of experimental results. Understanding what random error is and how it impacts scientific measurements is crucial for anyone involved in research.Random error refers to the unpredictable variations that occur during measurement. These errors arise from numerous sources, including environmental factors, human limitations, and instrument precision. For instance, when measuring the temperature of a substance, slight fluctuations in room temperature or variations in the thermometer's calibration can lead to random error. Unlike systematic errors, which are consistent and reproducible, random error is inherently unpredictable and can lead to different outcomes each time a measurement is taken.The implications of random error can be profound. In quantitative research, it can obscure the true relationship between variables, making it difficult to draw accurate conclusions. For example, if a scientist is conducting an experiment to determine the effect of a new drug on blood pressure, random error in the measurements could lead to incorrect interpretations about the drug's efficacy. This could result in the drug being deemed effective when it is not, or vice versa.To mitigate the impact of random error, researchers employ several strategies. One common approach is to take multiple measurements and calculate an average value. By doing so, the effects of random error can be minimized, leading to a more reliable result. Additionally, using high-quality instruments with better precision can help reduce the amount of random error encountered during measurements. Calibration of instruments is also crucial, as it ensures that the tools used are providing accurate readings.Another important aspect of dealing with random error is understanding the concept of statistical significance. Researchers often use statistical methods to analyze their data and determine whether the results obtained are due to chance or represent a true effect. By applying statistical tests, scientists can quantify the degree of random error present in their data and make informed decisions based on the level of confidence they have in their findings.In conclusion, random error is an unavoidable aspect of scientific measurement that can significantly influence research outcomes. By recognizing its presence and implementing strategies to minimize its effects, researchers can enhance the reliability of their results. Ultimately, a thorough understanding of random error not only improves the quality of scientific research but also contributes to the advancement of knowledge in various fields. As researchers continue to strive for accuracy and precision, the importance of addressing random error will remain a fundamental part of the scientific process.

在科学和研究的世界中，准确性至关重要。然而，无论研究人员多么小心，他们在实验中往往会遇到各种类型的错误。其中一个重要的错误类型被称为随机误差，它可能对实验结果的可靠性产生重大影响。理解随机误差是什么以及它如何影响科学测量，对于任何参与研究的人来说都是至关重要的。随机误差指的是在测量过程中出现的不可预测的变化。这些错误源于众多因素，包括环境因素、人类限制和仪器精度。例如，当测量物质的温度时，房间温度的轻微波动或温度计的校准变化可能导致随机误差。与系统误差不同，系统误差是一致且可重复的，随机误差本质上是不可预测的，并且每次测量时可能导致不同的结果。随机误差的影响可能是深远的。在定量研究中，它可能掩盖变量之间的真实关系，使得得出准确结论变得困难。例如，如果一位科学家正在进行一项实验，以确定一种新药对血压的影响，测量中的随机误差可能导致对药物有效性的错误解释。这可能导致药物被认为是有效的，而实际上并非如此，反之亦然。为了减轻随机误差的影响，研究人员采用了几种策略。一种常见的方法是进行多次测量并计算平均值。通过这样做，可以最小化随机误差的影响，从而得到更可靠的结果。此外，使用高质量、精度更高的仪器可以帮助减少在测量过程中遇到的随机误差的数量。仪器的校准也至关重要，因为它确保所使用的工具提供准确的读数。处理随机误差的另一个重要方面是理解统计显著性的概念。研究人员通常使用统计方法来分析数据，并确定所获得的结果是否由于偶然因素或代表真实效果。通过应用统计检验，科学家可以量化数据中存在的随机误差程度，并根据对其发现的置信水平做出明智的决策。总之，随机误差是科学测量中不可避免的一个方面，它可能对研究结果产生重大影响。通过认识到它的存在并实施减少其影响的策略，研究人员可以提高结果的可靠性。最终，对随机误差的透彻理解不仅改善了科学研究的质量，还促进了各个领域知识的进步。随着研究人员继续努力追求准确性和精确性，解决随机误差的重要性将始终是科学过程的一个基本部分。