adjustment coefficient

简明释义

调整系数

英英释义

例句

1.The environmental study utilized an adjustment coefficient to reflect changes in climate conditions over time.

环境研究利用了调整系数来反映气候条件随时间的变化。

2.In the manufacturing process, an adjustment coefficient is used to modify the output based on machine efficiency.

在制造过程中，使用调整系数根据机器效率修改输出。

3.To ensure fairness, the teacher applied an adjustment coefficient when grading the exams of students with different backgrounds.

为了确保公平，老师在给不同背景的学生评分时应用了调整系数。

4.The financial analyst calculated the adjustment coefficient to account for inflation in the investment returns.

金融分析师计算了调整系数以考虑投资回报中的通货膨胀。

5.The adjustment coefficient helps to normalize the data collected from different sources for accurate analysis.

该调整系数有助于规范来自不同来源的数据，以便进行准确分析。

作文

In the realm of mathematics and statistics, the term adjustment coefficient refers to a numerical value that is used to modify or calibrate other values in order to achieve a desired outcome. This concept is particularly important in various fields such as economics, engineering, and environmental science, where precise measurements and adjustments are crucial for accurate results. The adjustment coefficient serves as a tool for analysts and researchers to ensure that their data reflects real-world conditions and is free from biases that may skew the results.For instance, in economic modeling, an adjustment coefficient might be applied to account for inflation when analyzing historical data. By adjusting past figures to reflect current monetary values, economists can make more informed decisions based on trends and patterns that are relevant today. Without this adjustment, the analysis could lead to misleading conclusions, potentially impacting policy-making and economic strategies.Similarly, in engineering, the adjustment coefficient can be utilized to correct measurements taken from instruments that may have inherent inaccuracies. For example, if a measuring device consistently reports values that are slightly higher than the actual measurements, an adjustment coefficient can be calculated and applied to ensure that the final readings are accurate. This practice not only enhances the reliability of the data but also ensures that safety standards are maintained in engineering projects.Environmental scientists also rely on the adjustment coefficient to interpret data accurately. When studying climate change, researchers often deal with vast amounts of data collected over many years. To compare this data meaningfully, they may need to adjust for various factors such as changes in measurement techniques or environmental conditions. By applying an appropriate adjustment coefficient, scientists can better understand trends in temperature, precipitation, and other critical variables that influence our planet's health.Moreover, the use of adjustment coefficients is not limited to quantitative data alone. In qualitative research, researchers may also apply adjustment factors to account for biases in survey responses or observational studies. By recognizing that certain groups may respond differently due to cultural or social influences, researchers can adjust their findings to present a more balanced view of the data.In conclusion, the adjustment coefficient plays a vital role in ensuring the accuracy and reliability of data across various disciplines. Whether in economics, engineering, or environmental science, this concept helps analysts and researchers to refine their data, making it more applicable and meaningful in real-world contexts. As we continue to navigate an increasingly complex world, the importance of understanding and effectively applying adjustment coefficients cannot be overstated. It is through these adjustments that we can strive for greater accuracy and insight, ultimately leading to better decision-making and outcomes in our respective fields.

在数学和统计学领域，术语调整系数指的是一个数值，用于修改或校准其他值，以实现期望的结果。这个概念在经济学、工程学和环境科学等多个领域中尤为重要，因为精确的测量和调整对于准确的结果至关重要。调整系数作为分析师和研究人员的一种工具，确保他们的数据反映现实世界的条件，并且不受可能扭曲结果的偏见的影响。例如，在经济建模中，调整系数可能会被应用于考虑通货膨胀，以分析历史数据。通过将过去的数字调整为当前的货币价值，经济学家可以根据与今天相关的趋势和模式做出更明智的决策。如果没有这种调整，分析可能会导致误导性的结论，潜在地影响政策制定和经济策略。同样，在工程学中，调整系数可以用于修正仪器所采集的可能存在固有不准确性的测量值。例如，如果一个测量设备持续报告的值略高于实际测量值，那么可以计算并应用一个调整系数来确保最终读数的准确性。这种做法不仅增强了数据的可靠性，还确保在工程项目中维持安全标准。环境科学家也依赖于调整系数来准确解读数据。在研究气候变化时，研究人员通常处理大量多年收集的数据。为了有意义地比较这些数据，他们可能需要针对各种因素进行调整，例如测量技术或环境条件的变化。通过应用适当的调整系数，科学家可以更好地理解温度、降水和其他影响我们星球健康的关键变量的趋势。此外，调整系数的使用不仅限于定量数据。在定性研究中，研究人员也可能应用调整因子，以考虑调查响应或观察研究中的偏见。通过认识到某些群体可能由于文化或社会影响而有不同的反应，研究人员可以调整他们的发现，以呈现数据的更平衡视角。总之，调整系数在确保各个学科数据的准确性和可靠性方面发挥着至关重要的作用。无论是在经济学、工程学还是环境科学中，这一概念帮助分析师和研究人员精炼他们的数据，使其在现实世界背景中更具适用性和意义。随着我们继续在日益复杂的世界中航行，理解和有效应用调整系数的重要性不容小觑。正是通过这些调整，我们才能追求更大的准确性和洞察力，最终在各自的领域中实现更好的决策和结果。