abnormal variation

简明释义

1. 地磁异常; 2. 异常磁变; 3. 异常变化;

英英释义

例句

1.During the experiment, we observed an abnormal variation in the temperature readings.

在实验过程中，我们观察到温度读数有异常变化。

2.The financial report indicated an abnormal variation in quarterly earnings.

财务报告显示季度收益有异常变化。

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.Environmental scientists reported an abnormal variation in local wildlife populations.

环境科学家报告了当地野生动物种群的异常变化。

5.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。

作文

In the realm of statistics and data analysis, the term abnormal variation refers to fluctuations in data that deviate significantly from the expected or normal range. Understanding abnormal variation is crucial for researchers and analysts as it can indicate underlying issues or phenomena that require further investigation. For example, in a clinical trial, if the results show an abnormal variation in patient responses to a treatment, it may suggest that the treatment is not effective for certain individuals or that there are external factors influencing the outcomes.Abnormal variations can arise from numerous sources. They may be due to errors in data collection, such as misrecorded values or faulty measurement instruments. In other cases, they may reflect genuine changes in the population being studied, like sudden shifts in health trends or environmental factors affecting behavior. For instance, if a study on air quality shows an abnormal variation in pollution levels during a specific time frame, it could be attributed to unexpected events like industrial accidents or natural disasters.Identifying abnormal variation often involves statistical techniques such as control charts or outlier detection methods. These tools help analysts pinpoint data points that fall outside the expected range and determine whether these points are the result of random chance or indicative of a more serious issue. By analyzing these variations, researchers can gain valuable insights into the reliability of their data and the validity of their conclusions.Moreover, understanding abnormal variation is essential in various fields beyond statistics. In finance, for instance, investors closely monitor stock prices for signs of abnormal variation, which may signal market volatility or potential investment opportunities. If a stock price suddenly spikes or plummets without clear justification, it could prompt traders to investigate the cause, leading to informed decision-making.In healthcare, recognizing abnormal variation in patient vital signs can be critical for timely interventions. For example, if a patient's heart rate exhibits abnormal variation from their baseline readings, it may alert medical staff to potential complications that need immediate attention. This proactive approach can significantly improve patient outcomes and overall healthcare quality.In conclusion, the concept of abnormal variation is pivotal across multiple disciplines. Whether in research, finance, or healthcare, recognizing and addressing abnormal variation allows for better decision-making and a deeper understanding of the complexities within data. As we continue to navigate an increasingly data-driven world, the ability to identify and interpret abnormal variation will remain a valuable skill for professionals in various fields. By honing this skill, we can enhance our analytical capabilities and contribute to more accurate and meaningful conclusions in our respective domains.

在统计学和数据分析领域，术语异常变异指的是数据中显著偏离预期或正常范围的波动。理解异常变异对于研究人员和分析师至关重要，因为它可能表明需要进一步调查的潜在问题或现象。例如，在临床试验中，如果结果显示患者对治疗的反应出现异常变异，这可能表明该治疗对某些个体无效，或者存在影响结果的外部因素。异常变异可能源于多种来源。它们可能由于数据收集中的错误，例如记录错误的值或测量仪器故障。在其他情况下，它们可能反映被研究人群中真实的变化，比如健康趋势的突然转变或影响行为的环境因素。例如，如果一项关于空气质量的研究在特定时间段内显示出异常变异的污染水平，这可能归因于工业事故或自然灾害等意外事件。识别异常变异通常涉及统计技术，例如控制图或异常值检测方法。这些工具帮助分析师确定落在预期范围之外的数据点，并判断这些点是随机机会的结果还是更严重问题的指示。通过分析这些变异，研究人员可以获得关于数据可靠性和结论有效性的宝贵见解。此外，理解异常变异在多个领域中都是必不可少的。例如，在金融领域，投资者密切关注股票价格的异常变异，这可能表明市场波动或潜在的投资机会。如果股票价格在没有明显理由的情况下突然飙升或暴跌，这可能促使交易者调查原因，从而做出明智的决策。在医疗保健中，识别患者生命体征的异常变异可能对及时干预至关重要。例如，如果患者的心率显示出与其基线读数的异常变异，这可能会提醒医务人员注意需要立即关注的潜在并发症。这种主动的方法可以显著改善患者的结果和整体医疗质量。总之，异常变异的概念在多个学科中都是关键的。无论是在研究、金融还是医疗保健中，识别和解决异常变异都可以促进更好的决策和对数据复杂性的更深入理解。随着我们继续在一个日益数据驱动的世界中航行，识别和解释异常变异的能力将始终是各个领域专业人士的一项宝贵技能。通过磨练这项技能，我们可以增强我们的分析能力，并为各自领域的更准确和有意义的结论做出贡献。