allowable error

简明释义

容许误差

英英释义

例句

1.Quality control processes include checks for allowable error (允许误差) in product measurements.

质量控制过程包括对产品测量中允许误差（允许误差）的检查。

2.In engineering, the design specifications must account for an allowable error (允许误差) of no more than 2% to ensure safety.

在工程中，设计规范必须考虑不超过2%的允许误差（允许误差）以确保安全。

3.The allowable error (允许误差) in financial reporting is typically set at 0.5% to maintain accuracy.

财务报告中的允许误差（允许误差）通常设定为0.5%以保持准确性。

4.In software testing, developers define the allowable error (允许误差) to assess the reliability of their applications.

在软件测试中，开发人员定义允许误差（允许误差）以评估应用程序的可靠性。

5.When calibrating instruments, technicians often refer to the allowable error (允许误差) to determine if adjustments are needed.

在校准仪器时，技术人员通常会参考允许误差（允许误差）来判断是否需要调整。

作文

In the realm of science and engineering, precision is paramount. Every measurement we take carries a certain degree of uncertainty, which can significantly affect the outcomes of experiments and designs. To address this issue, professionals often rely on the concept of allowable error, which refers to the maximum permissible deviation from a true value that can be tolerated in a given measurement or calculation. Understanding this concept is crucial for ensuring the reliability and accuracy of results. When conducting experiments, researchers must account for various sources of error, including systematic errors and random errors. Systematic errors are consistent and repeatable inaccuracies that arise from faulty equipment or flawed experimental design. On the other hand, random errors are unpredictable fluctuations that occur due to inherent variability in measurements. Both types of errors contribute to the overall uncertainty of an experiment, making it essential to establish an allowable error threshold.The allowable error is determined based on the specific requirements of the project and the acceptable level of risk involved. For example, in pharmaceutical research, where the safety of patients is at stake, the allowable error might be set very low to ensure that drug dosages are accurate. Conversely, in fields like environmental science, where measurements may be less critical, a higher allowable error might be acceptable.Establishing an allowable error not only helps in maintaining quality standards but also aids in decision-making processes. Engineers and scientists can use this parameter to evaluate whether their measurements fall within the acceptable range or if adjustments need to be made. For instance, if a measurement exceeds the allowable error, it may prompt further investigation to identify and rectify the source of the discrepancy.Moreover, understanding the allowable error is vital for data analysis and interpretation. In statistical analyses, researchers often calculate confidence intervals and margins of error, which are closely related to the concept of allowable error. These statistical tools help quantify the uncertainty associated with estimates and predictions, allowing researchers to communicate the reliability of their findings effectively.In conclusion, the concept of allowable error plays a critical role in various scientific and engineering disciplines. By acknowledging and quantifying the uncertainties in measurements, professionals can ensure that their work adheres to established standards of accuracy and reliability. Whether in laboratory settings, field studies, or industrial applications, the allowable error serves as a guiding principle that helps maintain the integrity of scientific inquiry and technological advancement.

在科学和工程领域，精确性至关重要。我们所进行的每一次测量都带有一定程度的不确定性，这可能会显著影响实验和设计的结果。为了应对这个问题，专业人士通常依赖于“允许误差”这一概念，它指的是在给定测量或计算中可以容忍的最大允许偏差。理解这一概念对于确保结果的可靠性和准确性至关重要。在进行实验时，研究人员必须考虑各种误差来源，包括系统误差和随机误差。系统误差是由于设备故障或实验设计缺陷而产生的一致且可重复的不准确性。另一方面，随机误差是由于测量中的固有变异性而发生的不可预测的波动。这两种类型的误差共同导致实验的整体不确定性，因此建立一个允许误差阈值至关重要。允许误差的确定基于项目的具体要求和所涉及的可接受风险水平。例如，在制药研究中，患者安全至关重要，因此允许误差可能设置得非常低，以确保药物剂量的准确性。相反，在环境科学等领域，由于测量可能不那么关键，因此可能接受更高的允许误差。建立允许误差不仅有助于维持质量标准，还帮助决策过程。工程师和科学家可以利用这一参数评估他们的测量是否在可接受范围内，或者是否需要进行调整。例如，如果某一测量超出了允许误差，则可能促使进一步调查以识别和纠正差异的来源。此外，理解允许误差对于数据分析和解释至关重要。在统计分析中，研究人员通常计算置信区间和误差范围，这些与允许误差的概念密切相关。这些统计工具有助于量化估计和预测中的不确定性，使研究人员能够有效地传达其发现的可靠性。总之，允许误差的概念在各种科学和工程学科中发挥着至关重要的作用。通过承认和量化测量中的不确定性，专业人士可以确保他们的工作遵循既定的准确性和可靠性标准。无论是在实验室环境、现场研究还是工业应用中，允许误差都作为指导原则，帮助维护科学探究和技术进步的完整性。