lower deviation

简明释义

下偏差

英英释义

例句

1.In statistical analysis, a lower deviation indicates more reliable data.

在统计分析中，较小偏差表示数据更可靠。

2.By using advanced technology, we can maintain a lower deviation in temperature during the manufacturing process.

通过使用先进技术，我们可以在生产过程中保持温度的较小偏差。

3.To improve customer satisfaction, the company is focusing on achieving a lower deviation in delivery times.

为了提高客户满意度，公司专注于实现交货时间的较小偏差。

4.The quality control team aims to achieve a lower deviation in product dimensions to ensure consistency.

质量控制团队旨在实现产品尺寸的较小偏差以确保一致性。

5.The financial analyst reported a lower deviation in quarterly earnings compared to previous years.

财务分析师报告称，与往年相比，季度收益的较小偏差。

作文

In the world of data analysis and statistics, understanding the concept of deviation is crucial for interpreting results accurately. Deviation refers to the difference between a data point and a reference point, often the mean of a dataset. When we talk about lower deviation, we are referring to a situation where the data points are closer to the mean, indicating a more consistent set of values. This consistency can be vital in various fields such as quality control in manufacturing, financial forecasting, and even in scientific research.For instance, in a manufacturing setting, a company may produce thousands of components that must meet specific standards. If the measurements of these components show a lower deviation, it means that most of the components produced are very similar in size and shape, which is desirable for ensuring they fit together correctly in the final product. On the other hand, a higher deviation would indicate a wider range of sizes and shapes, potentially leading to problems in assembly and functionality.Similarly, in finance, analysts often look for investments that show lower deviation in their returns. This means that the investment yields consistent returns over time, which can be more attractive to risk-averse investors. A stock with a high deviation might have volatile price changes, making it a riskier choice. Investors prefer those options where the returns do not stray far from the average, as this aligns with their risk management strategies.In scientific research, particularly in experiments, achieving lower deviation in repeated measurements is essential for validating results. For example, if a scientist is measuring the effectiveness of a new drug, they will conduct multiple trials. If the results show a lower deviation, it suggests that the drug has a reliable effect, making the findings more credible. Conversely, if there is a high deviation, it may imply that other factors are influencing the results, leading to questions about the experiment's validity.Moreover, understanding lower deviation can also aid in decision-making processes. Organizations often rely on statistical data to make informed decisions. When data shows lower deviation, it can instill confidence in the decision-makers that their choices are based on stable and reliable information. This is particularly important in strategic planning, where companies aim to minimize risks and maximize efficiency.In conclusion, the concept of lower deviation plays a significant role across various fields, emphasizing the importance of consistency and reliability in data. Whether in manufacturing, finance, or research, striving for lower deviation can lead to better outcomes, reduced risks, and enhanced credibility. As we continue to rely on data-driven decision-making, understanding and applying the principles of lower deviation will be increasingly vital for success in any endeavor.

在数据分析和统计学的世界中，理解偏差的概念对于准确解读结果至关重要。偏差是指数据点与参考点之间的差异，通常是数据集的均值。当我们谈论lower deviation时，我们指的是数据点更接近均值的情况，这表明一组值更加一致。这种一致性在制造业的质量控制、金融预测甚至科学研究等各个领域都是至关重要的。例如，在制造环境中，一家公司可能会生产成千上万的组件，这些组件必须符合特定标准。如果这些组件的测量显示出lower deviation，这意味着大多数生产的组件在大小和形状上非常相似，这对于确保它们在最终产品中正确配合是理想的。相反，更高的偏差将表示尺寸和形状的范围更广，可能导致装配和功能方面的问题。同样，在金融领域，分析师通常寻找那些显示出lower deviation回报的投资。这意味着投资在一段时间内产生一致的回报，对于风险厌恶型投资者来说，这种投资可能更具吸引力。具有高偏差的股票可能会有波动的价格变化，使其成为更具风险的选择。投资者更喜欢那些回报不远离平均水平的选项，因为这与他们的风险管理策略相符。在科学研究中，特别是在实验中，实现重复测量的lower deviation对于验证结果至关重要。例如，如果一位科学家正在测量一种新药的有效性，他们将进行多次试验。如果结果显示出lower deviation，这表明该药物具有可靠的效果，从而使研究结果更具可信度。相反，如果存在较高的偏差，这可能意味着其他因素正在影响结果，从而引发对实验有效性的质疑。此外，理解lower deviation还可以帮助决策过程。组织通常依赖统计数据来做出明智的决定。当数据显示lower deviation时，可以增强决策者的信心，即他们的选择是基于稳定和可靠的信息。这在战略规划中尤其重要，因为公司旨在最小化风险并最大化效率。总之，lower deviation的概念在各个领域扮演着重要角色，强调数据中一致性和可靠性的重要性。无论是在制造、金融还是研究中，追求lower deviation都可以带来更好的结果、降低风险和提升可信度。随着我们继续依赖数据驱动的决策，理解和应用lower deviation的原则将对任何事业的成功变得越来越重要。