abnormal variation

简明释义

异常磁差

英英释义

例句

1.The doctor noted an abnormal variation in the patient's blood pressure readings, which indicated a potential health issue.

医生注意到病人的血压读数有异常变化，这可能表明存在健康问题。

2.Researchers found an abnormal variation in the data that suggested a flaw in the experiment's design.

研究人员发现数据中存在异常变化，这表明实验设计可能存在缺陷。

3.The financial analyst reported an abnormal variation in the company's revenue forecasts, prompting further investigation.

财务分析师报告了公司收入预测中的异常变化，这促使进一步调查。

4.An abnormal variation in temperature readings could indicate a malfunctioning sensor.

温度读数的异常变化可能表明传感器故障。

5.The quality control team identified an abnormal variation in the product dimensions during inspection.

质量控制团队在检查过程中发现产品尺寸存在异常变化。

作文

In the realm of statistics and data analysis, the term abnormal variation refers to deviations from what is considered normal or expected within a dataset. This concept is crucial in various fields, including finance, healthcare, and environmental studies, where understanding these variations can lead to significant insights and better decision-making. When analyzing data, one often encounters variations that are typical and predictable, but abnormal variation signifies those outliers that do not fit the expected patterns. For instance, in financial markets, investors closely monitor stock prices for any signs of abnormal variation. A sudden spike or drop in a stock’s price could indicate underlying issues such as a corporate scandal or unexpected economic news. Recognizing these abnormal variations allows investors to adjust their strategies accordingly, potentially avoiding losses or capitalizing on opportunities. Similarly, in healthcare, researchers study patient data to identify trends and patterns. If a particular treatment shows an abnormal variation in patient outcomes—such as a significantly higher rate of side effects compared to other treatments—this information can lead to critical changes in medical protocols and patient care practices. For example, during the COVID-19 pandemic, public health officials monitored infection rates and hospitalizations, looking for abnormal variations that might suggest the emergence of new variants or the impact of vaccination efforts. Moreover, in environmental studies, scientists analyze data related to climate change, pollution levels, and biodiversity. An abnormal variation in temperature or precipitation patterns can signal significant environmental shifts that may require immediate action. For example, if a region experiences an unusually high number of extreme weather events, it could prompt researchers and policymakers to investigate further and implement measures to mitigate future risks. Understanding abnormal variation is not just about identifying anomalies; it also involves determining the causes behind these variations. By conducting further analysis, researchers can uncover factors contributing to these deviations, whether they are natural phenomena, human activities, or random chance. This deeper understanding can lead to more effective interventions and strategies. In conclusion, abnormal variation plays a vital role in various fields by highlighting deviations from the norm that warrant closer examination. Whether in finance, healthcare, or environmental science, recognizing and analyzing these variations can lead to better outcomes and informed decisions. As we continue to collect and analyze data in our increasingly complex world, the ability to identify and respond to abnormal variations will be essential for progress and innovation.

在统计学和数据分析领域，术语abnormal variation指的是数据集中偏离正常或预期值的情况。这个概念在金融、医疗保健和环境研究等多个领域至关重要，因为理解这些变化可以带来重要的见解并改善决策。在分析数据时，人们常常会遇到典型且可预测的变化，但abnormal variation则意味着那些不符合预期模式的异常值。例如，在金融市场，投资者密切监测股票价格，以寻找任何abnormal variation的迹象。股票价格的突然上涨或下跌可能表明潜在问题，例如企业丑闻或意外的经济新闻。识别这些abnormal variations使投资者能够相应调整策略，从而避免损失或抓住机会。同样，在医疗保健中，研究人员研究患者数据以识别趋势和模式。如果某种治疗显示出与其他治疗相比患者结果的abnormal variation——例如副作用的显著增加——这一信息可以导致医疗协议和患者护理实践的重大变化。例如，在COVID-19大流行期间，公共卫生官员监测感染率和住院人数，寻找可能表明新变种出现或疫苗接种效果的abnormal variations。此外，在环境研究中，科学家分析与气候变化、污染水平和生物多样性相关的数据。温度或降水模式的abnormal variation可能表明需要立即采取行动的重大环境变化。例如，如果某个地区经历了异常高的极端天气事件，这可能促使研究人员和政策制定者进一步调查并实施减轻未来风险的措施。理解abnormal variation不仅仅是识别异常；还涉及确定这些变化背后的原因。通过进一步分析，研究人员可以揭示导致这些偏差的因素，无论是自然现象、人类活动还是随机偶然。这种更深入的理解可以导致更有效的干预和策略。总之，abnormal variation在各个领域中发挥着至关重要的作用，它突出了需要更仔细检查的偏离正常的情况。无论是在金融、医疗保健还是环境科学中，识别和分析这些变化都可以带来更好的结果和明智的决策。随着我们在日益复杂的世界中继续收集和分析数据，识别和应对abnormal variations的能力将是进步和创新的重要基础。