error limit

简明释义

误差范围

英英释义

例句

1.When calibrating the instrument, we must ensure that it operates within the specified error limit.

在校准仪器时，我们必须确保其在规定的误差范围内运行。

2.If the results exceed the error limit, the experiment needs to be repeated.

如果结果超过了误差范围，则需要重新进行实验。

3.The survey results were considered valid as they fell within the error limit of 5%.

调查结果被认为有效，因为它们在5%的误差范围内。

4.We set an error limit of 2% for the quality control tests.

我们为质量控制测试设定了2%的误差范围。

5.The error limit for this experiment is crucial to determine the accuracy of our measurements.

这个实验的误差范围对于确定我们测量的准确性至关重要。

作文

In the realm of scientific research and data analysis, precision is paramount. One concept that embodies this idea is the error limit. The error limit refers to the maximum allowable deviation from a true value in measurements or calculations. Understanding the error limit is crucial for researchers as it helps them assess the reliability and accuracy of their results. When conducting experiments, scientists must take into account various factors that can contribute to errors, such as instrument calibration, environmental conditions, and human error.For instance, consider a scenario where a chemist is measuring the concentration of a solution. If the true concentration is known to be 5 mol/L, but the measurement fluctuates between 4.8 mol/L and 5.2 mol/L, the error limit would be ±0.2 mol/L. This range indicates that while the measurement may not be exact, it still falls within an acceptable boundary that allows for meaningful conclusions to be drawn.The significance of the error limit extends beyond individual experiments. It plays a vital role in the broader context of scientific communication and publication. Researchers are often required to report their findings along with the error limit, which provides transparency regarding the reliability of their data. This practice enables other scientists to critically evaluate the work and determine its validity.Moreover, the error limit is not only applicable in the natural sciences but also in social sciences and engineering. For example, in survey research, understanding the error limit is essential for interpreting the results accurately. If a poll indicates that 60% of respondents support a particular policy with a error limit of ±3%, it means that the true level of support could realistically be anywhere between 57% and 63%. This knowledge is critical for policymakers who rely on such data to make informed decisions.In addition to its practical applications, the error limit also serves as a reminder of the inherent uncertainties present in all forms of measurement. No measurement can ever be perfectly accurate; there will always be some degree of error involved. Acknowledging this fact encourages a more cautious approach to interpreting data and fosters a culture of critical thinking among researchers and practitioners alike.To sum up, the concept of error limit is integral to the fields of research and data analysis. It provides a framework for understanding the limitations of measurements and the reliability of results. By grasping the implications of the error limit, researchers can enhance the quality of their work and contribute to the advancement of knowledge in their respective fields. Ultimately, recognizing and respecting the error limit is essential for anyone engaged in the pursuit of scientific truth.

在科学研究和数据分析领域，精确性至关重要。一个体现这一理念的概念是误差限。误差限指的是测量或计算中允许的最大偏离真实值的范围。理解误差限对研究人员来说至关重要，因为它帮助他们评估结果的可靠性和准确性。在进行实验时，科学家必须考虑各种可能导致误差的因素，例如仪器校准、环境条件和人为错误。例如，考虑一个化学家测量溶液浓度的场景。如果已知真实浓度为5 mol/L，但测量值在4.8 mol/L与5.2 mol/L之间波动，则误差限为±0.2 mol/L。这个范围表明，尽管测量可能不完全准确，但仍在一个允许的边界范围内，使得可以得出有意义的结论。误差限的重要性超越了单个实验。它在科学交流和出版的更广泛背景中发挥着重要作用。研究人员通常需要报告他们的发现以及误差限，这提供了有关数据可靠性的透明度。这一做法使其他科学家能够批判性地评估工作并确定其有效性。此外，误差限不仅适用于自然科学，也适用于社会科学和工程学。例如，在调查研究中，理解误差限对于准确解读结果至关重要。如果一项民意调查显示60%的受访者支持某项政策，并且误差限为±3%，这意味着实际的支持水平可能在57%到63%之间。这一知识对于依赖这些数据做出明智决策的政策制定者至关重要。除了其实际应用外，误差限也提醒我们所有测量中固有的不确定性。没有任何测量可以做到完全准确；总会存在一定程度的误差。承认这一事实鼓励对数据解释采取更谨慎的态度，并在研究人员和实践者之间培养批判性思维的文化。总之，误差限的概念对于研究和数据分析领域至关重要。它提供了理解测量限制和结果可靠性的框架。通过掌握误差限的含义，研究人员可以提高工作的质量，并为各自领域知识的进步做出贡献。最终，认识并尊重误差限对于任何从事科学真理追求的人来说都是必不可少的。