determinate error

简明释义

确定性误差

英英释义

例句

1.The determinate error caused by environmental factors was accounted for in the final analysis.

环境因素造成的确定性误差在最终分析中已被考虑在内。

2.An example of determinate error is when a scale is improperly zeroed before weighing an object.

一个确定性误差的例子是当秤在称重物体之前没有正确归零。

3.In the experiment, the determinate error was consistent across all trials, indicating a systematic issue.

在实验中，确定性误差在所有试验中都是一致的，这表明存在系统性问题。

4.The scientist noted a determinate error in the measurements, which could be traced back to the calibration of the instrument.

科学家注意到测量中存在一个确定性误差，这可以追溯到仪器的校准。

5.To improve accuracy, the team focused on identifying sources of determinate error in their data collection process.

为了提高准确性，团队专注于识别数据收集过程中的确定性误差来源。

作文

In the field of measurement and science, one often encounters various types of errors that can affect the accuracy and reliability of data. Among these errors, a particularly important concept is that of determinate error, which refers to errors that are predictable and can be systematically eliminated or corrected. Understanding determinate error is crucial for scientists and researchers as it allows them to enhance the precision of their measurements and improve the overall quality of their work.To elaborate, determinate error can arise from several sources, such as instrument calibration, environmental conditions, or human factors. For instance, if a thermometer is not calibrated correctly, it will consistently give readings that are either too high or too low. This systematic deviation is what characterizes determinate error. Unlike random errors, which fluctuate unpredictably and are often due to external factors, determinate error can be identified and corrected through careful analysis and adjustment.One common example of determinate error is seen in laboratory settings where precise measurements are critical. Let's consider a scenario where a scientist is measuring the concentration of a solution using a spectrophotometer. If the device is not properly calibrated, every reading taken will be offset by a consistent amount, leading to inaccurate results. By recognizing this determinate error, the scientist can recalibrate the instrument and obtain more accurate data.Moreover, determinate error can also originate from the methods used in experiments. For instance, if a specific procedure is followed incorrectly, such as adding too much of a reagent, the results will consistently reflect this mistake. By identifying the source of the determinate error, researchers can modify their techniques to ensure that future experiments yield reliable results.It is also essential to understand that while determinate error can often be corrected, it requires diligence and a systematic approach to minimize its impact on scientific findings. Documentation of procedures, regular calibration of instruments, and thorough training for personnel are some strategies that can help mitigate determinate error. By implementing these practices, researchers can enhance the integrity of their data and contribute to more robust scientific conclusions.In conclusion, comprehending the concept of determinate error is vital for anyone involved in scientific research or measurement. By recognizing the sources of these errors and taking proactive steps to address them, researchers can significantly improve the accuracy of their results. Ultimately, understanding determinate error not only aids in producing reliable data but also fosters a culture of precision and rigor in scientific inquiry. As we strive for greater accuracy in our measurements and experiments, the role of determinate error remains a fundamental aspect of the scientific process that cannot be overlooked.

在测量和科学领域，人们经常会遇到各种类型的错误，这些错误会影响数据的准确性和可靠性。在这些错误中，一个特别重要的概念是确定性误差，它指的是可预测的错误，可以通过系统地消除或纠正。理解确定性误差对于科学家和研究人员至关重要，因为这使他们能够提高测量的精度并改善整体工作质量。进一步阐述，确定性误差可能来自多个来源，例如仪器校准、环境条件或人为因素。例如，如果温度计没有正确校准，它将始终给出过高或过低的读数。这种系统性的偏差就是确定性误差的特征。与随机误差不同，后者不可预测且通常由于外部因素造成，确定性误差可以通过仔细分析和调整来识别和纠正。一个常见的确定性误差例子是在实验室环境中，精确测量至关重要。让我们考虑一个场景，科学家正在使用分光光度计测量溶液的浓度。如果设备没有正确校准，则每次读取都会偏移一个一致的数值，导致不准确的结果。通过识别这个确定性误差，科学家可以重新校准仪器，从而获得更准确的数据。此外，确定性误差也可能源于实验中使用的方法。例如，如果按照特定程序错误地进行操作，比如添加过多的试剂，结果将始终反映这一错误。通过识别确定性误差的来源，研究人员可以修改他们的技术，以确保未来的实验产生可靠的结果。同样重要的是要理解，虽然确定性误差通常可以被纠正，但需要勤奋和系统的方法来最小化其对科学发现的影响。记录程序、定期校准仪器以及对人员进行全面培训是帮助减轻确定性误差影响的一些策略。通过实施这些做法，研究人员可以增强数据的完整性，并为更强有力的科学结论做出贡献。总之，理解确定性误差的概念对于任何参与科学研究或测量的人来说都是至关重要的。通过识别这些错误的来源并采取积极措施加以解决，研究人员可以显著提高结果的准确性。最终，理解确定性误差不仅有助于产生可靠的数据，还促进了科学探究中精确和严谨的文化。随着我们努力在测量和实验中实现更高的准确性，确定性误差的作用仍然是科学过程中的一个基本方面，不容忽视。