minimum deviation

简明释义

最小偏差

英英释义

例句

1.In statistical analysis, researchers aim for minimum deviation 最小偏差 from the mean to ensure accuracy.

在统计分析中，研究人员的目标是确保与均值的最小偏差以确保准确性。

2.The manufacturing process was optimized to achieve minimum deviation 最小偏差 in product dimensions.

制造过程经过优化，以实现产品尺寸的最小偏差。

3.To maintain quality control, the company set a standard for minimum deviation 最小偏差 in their production line.

为了保持质量控制，公司在其生产线上设定了最小偏差的标准。

4.The goal of the experiment was to find conditions that would result in minimum deviation 最小偏差 from expected results.

实验的目标是找到能够导致与预期结果的最小偏差的条件。

5.The engineer designed the bridge to ensure that there was a minimum deviation 最小偏差 in its structural integrity.

工程师设计了这座桥，以确保其结构完整性中存在最小偏差。

作文

In the field of statistics and data analysis, achieving accuracy is of utmost importance. One of the key concepts that helps in ensuring this accuracy is the idea of minimum deviation. The term minimum deviation refers to the smallest possible difference between a set of measured values and the actual or true value. This concept is crucial in various applications, including scientific research, quality control in manufacturing, and financial forecasting.To illustrate the significance of minimum deviation, consider a scenario in a manufacturing plant where precision is critical. For instance, if a factory produces metal rods that must be exactly 10 cm in length, any deviation from this measurement can lead to significant issues. If one rod measures 10.1 cm and another measures 9.9 cm, the minimum deviation would be 0.1 cm. This small difference can have substantial implications for the end product's quality and functionality. Therefore, the goal for the manufacturer becomes clear: to achieve a minimum deviation from the desired length.In scientific experiments, the concept of minimum deviation is equally vital. Researchers often conduct multiple trials to ensure that their results are reliable and valid. By calculating the minimum deviation from the average of their results, they can determine how consistent their measurements are. A low minimum deviation indicates that the results are clustered closely around the mean, suggesting high reliability. Conversely, a high minimum deviation suggests variability and potential errors in the experimental process, prompting researchers to investigate further.Moreover, in the realm of finance, analysts use the concept of minimum deviation to assess investment risks. When evaluating the performance of an asset, investors look at the minimum deviation from expected returns. A lower minimum deviation implies that the asset's returns are more predictable and stable, making it a safer investment option. On the other hand, a higher minimum deviation indicates greater volatility, which could lead to higher risks but also the potential for higher rewards.In conclusion, the concept of minimum deviation plays a crucial role across various fields, including manufacturing, scientific research, and finance. Understanding and minimizing deviation not only enhances accuracy but also improves decision-making processes. Whether it's ensuring that products meet specifications, validating experimental results, or assessing investment risks, striving for minimum deviation is essential for achieving optimal outcomes. As we continue to rely on data-driven decisions, the importance of understanding and applying the concept of minimum deviation will only grow, emphasizing the need for precision in our increasingly complex world.

在统计学和数据分析领域，达成准确性至关重要。确保这种准确性的关键概念之一是最小偏差的思想。术语最小偏差指的是一组测量值与实际或真实值之间可能存在的最小差异。这个概念在许多应用中至关重要，包括科学研究、制造业的质量控制和金融预测。为了说明最小偏差的重要性，考虑一个制造工厂的场景，在这里精度至关重要。例如，如果一家工厂生产的金属棒必须恰好为10厘米长，那么任何偏离这个测量值的情况都可能导致重大问题。如果一根金属棒测量为10.1厘米，而另一根测量为9.9厘米，那么最小偏差将是0.1厘米。这个小差异可能对最终产品的质量和功能产生重大影响。因此，制造商的目标变得清晰：实现与所需长度的最小偏差。在科学实验中，最小偏差的概念同样至关重要。研究人员通常进行多次试验，以确保他们的结果是可靠和有效的。通过计算结果平均值的最小偏差，他们可以确定测量的一致性。较低的最小偏差表明结果聚集在均值附近，暗示着高可靠性。相反，较高的最小偏差则表明变异性和潜在的实验过程错误，促使研究人员进一步调查。此外，在金融领域，分析师使用最小偏差的概念来评估投资风险。在评估资产表现时，投资者关注预期收益的最小偏差。较低的最小偏差意味着资产的收益更加可预测和稳定，使其成为更安全的投资选择。另一方面，较高的最小偏差则表示更大的波动性，这可能导致更高的风险，但也有可能带来更高的回报。总之，最小偏差的概念在制造业、科学研究和金融等多个领域发挥着至关重要的作用。理解和最小化偏差不仅提高了准确性，还改善了决策过程。无论是确保产品符合规格、验证实验结果还是评估投资风险，追求最小偏差对于实现最佳结果至关重要。随着我们继续依赖数据驱动的决策，理解和应用最小偏差的概念的重要性只会增加，强调了在日益复杂的世界中追求精确性的必要性。