abnormal variation

简明释义

异常偏差

英英释义

例句

1.The doctor noted an abnormal variation in the patient's blood pressure readings.

医生注意到病人的血压读数有异常变化。

2.In the experiment, we observed an abnormal variation in the temperature readings.

在实验中，我们观察到温度读数有异常变化。

3.The engineer detected an abnormal variation in the machine's performance metrics.

工程师发现机器性能指标有异常变化。

4.The financial report highlighted an abnormal variation in quarterly profits.

财务报告强调了季度利润的异常变化。

5.Researchers are investigating the causes of the abnormal variation in the data set.

研究人员正在调查数据集中异常变化的原因。

作文

In the field of statistics, understanding variations is crucial for interpreting data accurately. One term that often arises in this context is abnormal variation. This concept refers to deviations from the expected or normal range of data points. When analyzing a dataset, researchers look for patterns and trends that can help them draw conclusions. However, the presence of abnormal variation can complicate this process. It indicates that something unusual is occurring, which could be due to various factors such as measurement errors, external influences, or inherent anomalies within the data itself.For instance, consider a study measuring the daily temperatures in a specific region. Typically, one would expect the temperatures to fall within a certain range based on historical data. If, however, the data shows a sudden spike or drop in temperature that significantly deviates from this range, it can be classified as abnormal variation. Such a deviation may prompt further investigation to understand the underlying causes, whether they be environmental changes, equipment malfunctions, or other anomalies.Furthermore, abnormal variation can have significant implications in various fields, including healthcare, finance, and engineering. In healthcare, for example, abnormal test results can indicate potential health issues that require immediate attention. In finance, sudden fluctuations in stock prices can signal market instability or investor panic. Engineers must also account for abnormal variation when testing materials or systems to ensure safety and reliability.To address abnormal variation, researchers often employ statistical methods such as outlier detection and data normalization. These techniques help identify and manage data points that do not conform to the expected pattern. By doing so, they can improve the accuracy of their analyses and make more informed decisions based on the data.In conclusion, abnormal variation plays a vital role in data analysis across various disciplines. Recognizing and understanding this concept allows researchers and professionals to better interpret their findings and respond appropriately to unexpected changes. Whether in scientific research, financial markets, or engineering projects, being aware of abnormal variation can lead to more accurate conclusions and better outcomes for all involved. As we continue to gather and analyze data in our increasingly complex world, the importance of recognizing and addressing abnormal variation will only grow. Therefore, it is essential for individuals in all fields to familiarize themselves with this concept and its implications for effective decision-making and problem-solving.

在统计学领域，理解变异对于准确解释数据至关重要。一个经常出现的术语是异常变异。这个概念指的是数据点偏离预期或正常范围的情况。在分析数据集时，研究人员寻找可以帮助他们得出结论的模式和趋势。然而，异常变异的存在可能会使这一过程复杂化。它表明某些不寻常的情况正在发生，这可能是由于各种因素造成的，如测量错误、外部影响或数据本身的固有异常。例如，考虑一个测量特定地区每日温度的研究。通常，人们会期望温度根据历史数据落在某个特定范围内。然而，如果数据中出现了显著偏离这一范围的温度突然激增或骤降，这可以被归类为异常变异。这样的偏差可能促使进一步调查，以了解潜在原因，无论是环境变化、设备故障还是其他异常。此外，异常变异在医疗、金融和工程等各个领域具有重要意义。例如，在医疗领域，异常的测试结果可能表明需要立即关注的健康问题。在金融领域，股票价格的突然波动可能暗示市场不稳定或投资者恐慌。工程师在测试材料或系统时也必须考虑异常变异，以确保安全性和可靠性。为了应对异常变异，研究人员通常采用统计方法，如异常值检测和数据归一化。这些技术有助于识别和管理不符合预期模式的数据点。通过这样做，他们可以提高分析的准确性，并基于数据做出更明智的决策。总之，异常变异在各个学科的数据分析中发挥着至关重要的作用。认识和理解这一概念使研究人员和专业人士能够更好地解读他们的发现，并适当地应对意外变化。无论是在科学研究、金融市场还是工程项目中，意识到异常变异都可以导致更准确的结论和更好的结果。因此，所有领域的个人都应熟悉这一概念及其对有效决策和问题解决的影响。随着我们在日益复杂的世界中不断收集和分析数据，认识和应对异常变异的重要性只会增加。因此，所有领域的个人都有必要熟悉这一概念及其对有效决策和问题解决的影响。