outlier
简明释义
n. 离开主体的人(或物);(地质)外露层;(统计)异常值;局外人(远离业务、职务)
英英释义
单词用法
统计离群值 | |
数据离群值 | |
离群值检测 | |
离群值分析 | |
离群值去除 | |
与常态的离群值 | |
被视为离群值 | |
在数据背景下的离群值 | |
统计中的离群值 | |
在数据中检测离群值 |
同义词
反义词
平均值 | 班级的平均分很高。 | ||
正常的 | 在重大演讲前感到紧张是正常的。 | ||
典型的 | 她的反应是她这个职位上的人典型的反应。 |
例句
1.Rummaging around the internet, I found that my friend was indeed an outlier.
在网上翻找半天,我发现我那朋友真是一个离群索居的人。
2.A simple query subject that accesses the outlier table BANK.CUSTOMER_OL created in the first section.
一个简单的访问第一节中创建的离群值表BANK . CUSTOMER_OL的查询主题。
3.All clusters with an outlier degree above this threshold are marked as outlier clusters and all their members as outliers.
偏差度高于这个阈值的所有集群被标记为离群值集群,它们的成员都是离群值。
但是非洲是个例外。
5.Cognos is very well-suited to support the task of interactive outlier analysis.
Cognos非常适合分析交互式离群值。
6.This will help to summarize information and still allow for a fast access to relevant outlier data records.
这将有助于总结信息,同时允许快速访问相关的异常数据记录。
7.In the data set, the value of 100 was an outlier 异常值 that skewed the average.
在数据集中,值为100的outlier 异常值扭曲了平均值。
8.The scientist identified an outlier 离群点 in the experimental results that needed further investigation.
科学家在实验结果中发现了一个需要进一步调查的outlier 离群点。
9.In a classroom, one student’s score was an outlier 异常值 compared to the rest of the class.
在一个课堂上,一名学生的分数与其他同学相比是一个outlier 异常值。
10.The company considered the extremely high sales figures as an outlier 异常情况 for the quarterly report.
公司将季度报告中极高的销售数字视为一个outlier 异常情况。
11.When analyzing the survey responses, we found an outlier 离群值 that didn't fit the general trend.
在分析调查回复时,我们发现了一个与一般趋势不符的outlier 离群值。
作文
In the realm of statistics and data analysis, the term outlier refers to a data point that deviates significantly from the other observations in a dataset. Understanding outliers is crucial for researchers and analysts as they can profoundly influence results and interpretations. For example, consider a study measuring the average height of adult males in a specific region. If most individuals measure between 5'5" and 6'2", but one individual measures 7'0", that measurement would be considered an outlier. This individual's height could skew the average upward, leading to potentially misleading conclusions about the population's typical height. The presence of outliers can arise from various sources, including measurement errors, data entry mistakes, or genuine variability in the population. It is essential to investigate the cause of an outlier before deciding how to handle it. Ignoring an outlier might lead to inaccurate analyses, while removing it without justification could result in lost valuable information. Therefore, analysts often employ techniques such as box plots or scatter plots to visually identify outliers within their data. Moreover, outliers can provide critical insights into the phenomena being studied. For instance, in a financial analysis of company earnings, an outlier representing an exceptionally high profit may indicate a successful new product launch or a market anomaly. By examining these outliers, analysts can uncover trends and patterns that are not immediately apparent from the rest of the data. In addition to their statistical significance, outliers also have implications in various fields, including medicine, engineering, and social sciences. In medical research, for example, an outlier in patient recovery times may reveal unique responses to treatment or highlight the need for further investigation into specific cases. Similarly, in engineering, identifying outliers in performance testing can lead to improvements in design and functionality. However, the interpretation of outliers requires caution. Context is key; what may appear to be an outlier in one study may be standard in another. For instance, when analyzing test scores across different demographics, a student with a significantly higher score than their peers could be viewed as an outlier. Yet, if this student comes from a specialized educational background, their score may not be so surprising after all. Thus, understanding the context surrounding outliers is vital for accurate interpretation and decision-making. In conclusion, outliers play a significant role in data analysis and interpretation. They can either distort findings or illuminate important insights depending on how they are handled. Recognizing the existence of outliers and understanding their implications is essential for anyone engaged in data-driven research. By carefully analyzing outliers, we can enhance our understanding of complex datasets and make more informed decisions based on the evidence presented. Ultimately, the careful consideration of outliers can lead to richer insights and a better grasp of the underlying trends within any field of study.
在统计和数据分析领域,术语离群值指的是在数据集中显著偏离其他观察结果的数据点。理解离群值对研究人员和分析师至关重要,因为它们可能会深刻影响结果和解释。例如,考虑一项测量特定地区成年男性平均身高的研究。如果大多数个体的身高在5英尺5英寸到6英尺2英寸之间,但有一个个体的身高为7英尺,那么这个测量值将被视为离群值。这个个体的身高可能会向上扭曲平均值,从而导致对该人群典型身高的潜在误导性结论。 离群值的存在可能源于各种原因,包括测量错误、数据输入错误或人群的真实变异性。在决定如何处理离群值之前,调查其原因至关重要。忽视离群值可能导致不准确的分析,而在没有理由的情况下删除它可能会导致丢失有价值的信息。因此,分析师通常采用箱形图或散点图等技术来直观地识别数据中的离群值。 此外,离群值可以提供关于所研究现象的重要见解。例如,在对公司收益的财务分析中,代表异常高利润的离群值可能表明成功的新产品发布或市场异常。通过检查这些离群值,分析师可以发现其他数据中并不明显的趋势和模式。 除了统计意义外,离群值在医学、工程和社会科学等各个领域也具有重要意义。在医学研究中,例如,患者恢复时间的离群值可能揭示对治疗的独特反应或突出需要进一步调查的特定案例。类似地,在工程领域,识别性能测试中的离群值可以导致设计和功能的改进。 然而,对离群值的解释需要谨慎。上下文是关键;在一项研究中看似是离群值的事物在另一项研究中可能是标准。例如,在分析不同人口统计学的考试成绩时,得分显著高于同龄人的学生可能被视为离群值。然而,如果该学生来自特殊教育背景,那么他们的分数可能并不那么令人惊讶。因此,理解离群值周围的上下文对于准确解释和决策至关重要。 总之,离群值在数据分析和解释中发挥着重要作用。根据处理方式,它们可以扭曲发现或照亮重要见解。认识到离群值的存在并理解其含义对于任何参与数据驱动研究的人来说都是必不可少的。通过仔细分析离群值,我们可以增强对复杂数据集的理解,并根据所呈现的证据做出更明智的决策。最终,对离群值的仔细考虑可以带来更丰富的见解,并更好地掌握任何研究领域内的潜在趋势。
文章标题:outlier的意思是什么
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