degree of deviation

简明释义

偏差度

英英释义

例句

1.To improve accuracy, the scientist minimized the degree of deviation 偏差程度 in her measurements.

为了提高准确性，科学家尽量减少她测量中的degree of deviation 偏差程度。

2.The quality control team assessed the degree of deviation 偏差程度 in product dimensions during the inspection.

质量控制团队在检查过程中评估了产品尺寸的degree of deviation 偏差程度。

3.In statistical analysis, it is important to understand the degree of deviation 偏差程度 from the mean.

在统计分析中，理解均值的degree of deviation 偏差程度是很重要的。

4.The engineer measured the degree of deviation 偏差程度 in the bridge's alignment to ensure safety.

工程师测量了桥梁对齐的degree of deviation 偏差程度以确保安全。

5.The degree of deviation 偏差程度 in the experiment's results was higher than expected, indicating a need for recalibration.

实验结果的degree of deviation 偏差程度高于预期，表明需要重新校准。

作文

In the realm of statistics and data analysis, the concept of degree of deviation plays a crucial role in understanding how much a set of values differs from a central point, such as the mean. The degree of deviation refers to the extent to which individual data points vary from the average value of a dataset. This variation is essential for researchers, analysts, and decision-makers because it provides insights into the reliability and consistency of the data being examined.To illustrate the importance of degree of deviation, consider a simple example: a teacher evaluating the test scores of her students. If the scores are all clustered closely around the average score of 75, the degree of deviation is low, indicating that most students performed similarly. However, if some students scored as low as 50 while others achieved scores of 95, the degree of deviation is high, suggesting a significant disparity in student performance. This information can help the teacher identify students who may need additional support or those who excel and may benefit from advanced challenges.Understanding the degree of deviation is not only relevant in educational settings but also in various fields such as finance, engineering, and healthcare. For instance, in finance, investors analyze the degree of deviation of stock prices to assess the risk associated with particular investments. A stock with a high degree of deviation is seen as more volatile, which may deter risk-averse investors. Conversely, a stock with a low degree of deviation might be perceived as a safer investment, as its price tends to stay closer to the average.Similarly, in engineering, the degree of deviation is critical when assessing the quality of manufactured products. For example, if a company produces bolts that are supposed to be 10mm in diameter, the degree of deviation from this standard measurement will determine whether the bolts meet quality control standards. A high degree of deviation could indicate defects in the manufacturing process, leading to potential failures in applications where precision is critical.In healthcare, understanding the degree of deviation in patient outcomes can help medical professionals evaluate the effectiveness of treatments. For example, if a new medication is tested on a group of patients, the degree of deviation in their recovery times can reveal how consistently the medication works across different individuals. A low degree of deviation would suggest that the treatment is effective for most patients, while a high degree of deviation might indicate that the treatment works well for some but not for others, prompting further investigation into personalized medicine approaches.In conclusion, the degree of deviation is a fundamental concept that helps us understand variability in data across various domains. By analyzing the degree of deviation, we can gain valuable insights that inform decision-making processes, improve product quality, enhance educational outcomes, and optimize healthcare practices. As we continue to collect and analyze data in an increasingly complex world, mastering the concept of degree of deviation will remain essential for effective analysis and informed decision-making.

在统计学和数据分析的领域中，偏差程度这一概念在理解一组数值与中心点（如平均值）之间的差异方面起着至关重要的作用。偏差程度指的是个别数据点与数据集的平均值之间的变化程度。这种变化对于研究人员、分析师和决策者来说是至关重要的，因为它提供了对所审查数据的可靠性和一致性的洞察。为了说明偏差程度的重要性，可以考虑一个简单的例子：一位老师在评估学生的考试成绩。如果所有成绩都紧密聚集在75分的平均分附近，那么偏差程度就很低，表明大多数学生的表现相似。然而，如果一些学生的分数低至50分，而另一些学生的分数达到95分，那么偏差程度就很高，暗示学生表现存在显著差异。这些信息可以帮助老师识别那些可能需要额外支持的学生，或那些表现优异的学生，他们可能会从更高级的挑战中受益。理解偏差程度不仅在教育环境中相关，在金融、工程和医疗等多个领域也同样重要。例如，在金融领域，投资者分析股票价格的偏差程度以评估特定投资的风险。具有高偏差程度的股票被视为更具波动性，这可能会使风险厌恶型投资者望而却步。相反，具有低偏差程度的股票可能被视为更安全的投资，因为其价格往往更接近平均水平。同样，在工程领域，偏差程度在评估制造产品的质量时至关重要。例如，如果一家公司生产直径应为10mm的螺栓，那么该标准测量的偏差程度将决定这些螺栓是否符合质量控制标准。高偏差程度可能表明制造过程中存在缺陷，从而导致在精度至关重要的应用中可能出现故障。在医疗保健领域，理解患者结果的偏差程度可以帮助医疗专业人员评估治疗的有效性。例如，如果一种新药在一组患者中进行测试，那么他们的恢复时间的偏差程度可以揭示该药物在不同个体中的一致性效果。低偏差程度将表明该治疗对大多数患者有效，而高偏差程度可能表明该治疗对某些患者有效，但对其他患者则不然，这促使进一步调查个性化医疗的方法。总之，偏差程度是一个基本概念，有助于我们理解各个领域数据的变异性。通过分析偏差程度，我们可以获得有价值的见解，这些见解为决策过程提供信息，改善产品质量，提高教育成果，并优化医疗实践。随着我们在日益复杂的世界中继续收集和分析数据，掌握偏差程度的概念将始终是有效分析和知情决策的关键。