quintiles

简明释义

英[ˈkwɪntaɪlz]美[ˈkwɪnˌtaɪlz]

n. 五分之一对座（quintile 复数）

英英释义

单词用法

同义词

反义词

例句

1.Increasing temperature was associated with decreased systolic blood pressure, with an observed 8 mm Hg decrease between the lowest and highest outdoor temperature quintiles.

观察到在最低和最高户外温度五分值之间，收缩压降低幅度达8毫米汞柱，由此可见，温度升高与收缩压降低密切相关。

2.We found a dose–response relationship between quintiles of years of schooling and the ORs for reporting poor health.

我们发现，五分位数教育年限与报告不良健康状况的胜算比之间存在剂量——反应关系。

3.Results for the whole sample and for the poorest and the richest wealth quintiles are presented.

基于提取的数据给出整个样本的以及最贫困和最富有人群财富五分位组的结果。

4.For each indicator we also compared the richest and poorest quintiles or deciles, urban and rural domiciles, and mothers or caregivers with or without secondary school education.

对于每一个指标，我们还对比了最富有和最贫穷者的五分位数或十分位数，城市和农村的住所，以及有或无中学教育背景的母亲或看护者。

5.To fully leverage the expertise of both organizations, leaders from Quintiles will collaborate in strategic decision-making processes affecting the development of the Merck Serono portfolio.

为了充分利用双方的专业知识，昆泰领导层将参与协作默克雪兰诺产品组合开发的战略决策过程。

6.Crude and adjusted annual rates were calculated by means of Poisson regression and were used to define trends across socioeconomic regions and households in different income quintiles.

计算年住院分娩率,通过泊松回归调整其他因素和分析不同社会经济地区和不同收入家庭的趋势。

7.All five quintiles imagined the top quintile to possess about 60 percent of the nation's wealth.

五等分的所有阶层都认为五等分顶层占有大约60%的国家财富。

8.The Quintiles network of 23,000 engaged professionals in more than 50 countries around the globe works with an unwavering commitment to patients, safety and ethics.

昆泰在全球50多个国家拥有23，000名勤奋的专业员工，坚定不移地致力于为患者服务、安全保护和道德规范。

9.The economic report categorized households into quintiles (五分位) to better illustrate wealth distribution.

经济报告将家庭分类为quintiles（五分位），以更好地说明财富分配。

10.In analyzing the data, researchers found that the top quintiles (五分位) of earners had significantly different health outcomes.

在分析数据时，研究人员发现收入最高的quintiles（五分位）在健康结果上有显著差异。

11.The study divided the participants into five groups based on their income levels, known as quintiles (五分位).

这项研究将参与者根据收入水平分为五组，称为quintiles（五分位）。

12.The bottom quintiles (五分位) in the income distribution often struggle to meet basic needs.

收入分配中的最低quintiles（五分位）通常难以满足基本需求。

13.To understand educational attainment, we examined the scores across different quintiles (五分位) of students.

为了了解教育成就，我们检查了不同学生quintiles（五分位）的分数。

作文

In the field of statistics and economics, understanding the distribution of data is crucial for making informed decisions. One common method to analyze data distributions is through the use of quintiles (五分位数). Quintiles divide a dataset into five equal parts, with each part representing 20% of the data. This division allows researchers and analysts to see how values are spread across different segments of the dataset, providing insights into trends and patterns that might not be immediately apparent. For example, when analyzing income distribution within a population, quintiles can help identify the income levels of the lowest earners compared to the highest earners.The concept of quintiles (五分位数) is particularly useful in social sciences, where it can reveal disparities in wealth, education, or health outcomes among different groups. By categorizing individuals or households into quintiles based on their income, policymakers can better understand economic inequality and target interventions more effectively. For instance, if data shows that the bottom quintile earns significantly less than the top quintile, this information can inform policies aimed at reducing poverty and improving access to resources.Moreover, quintiles (五分位数) can be applied in various fields, including marketing, healthcare, and education. In marketing, businesses often analyze customer spending habits by dividing their clientele into quintiles to identify high-value customers. This segmentation allows companies to tailor their marketing strategies and improve customer retention by focusing on the most profitable segments of their customer base.In healthcare, researchers may use quintiles (五分位数) to assess the effectiveness of treatments across different patient demographics. By comparing health outcomes among patients in different quintiles, healthcare providers can identify which groups are benefiting from specific interventions and which may require additional support. This approach fosters a more equitable healthcare system, ensuring that all patients receive the care they need.Furthermore, in education, quintiles (五分位数) can help evaluate student performance and achievement gaps. By analyzing test scores and academic performance across quintiles, educators can identify areas where students are struggling and implement targeted programs to support those in the lower quintiles. This targeted approach can lead to improved educational outcomes and a more equitable learning environment.Despite the many advantages of using quintiles (五分位数), it is essential to recognize the limitations of this method. For instance, while quintiles provide a useful snapshot of data distribution, they may oversimplify complex issues. A dataset divided into quintiles does not capture the nuances within each segment, and important variations may be lost. Therefore, it is crucial to complement quintile analysis with other statistical methods to gain a comprehensive understanding of the data.In conclusion, quintiles (五分位数) serve as a valuable tool for analyzing and interpreting data across various fields. By dividing datasets into five equal parts, researchers and analysts can uncover trends, identify disparities, and inform policy decisions. However, it is essential to approach quintile analysis with caution, recognizing its limitations and complementing it with other analytical methods. As we continue to navigate an increasingly data-driven world, mastering the use of quintiles (五分位数) will be vital for anyone involved in research, policy-making, or business strategy.

在统计学和经济学领域，理解数据的分布对于做出明智的决策至关重要。分析数据分布的一种常见方法是使用五分位数（quintiles）。五分位数将数据集分为五个相等的部分，每个部分代表20%的数据。这种划分使研究人员和分析师能够看到值在数据集不同部分之间的分布情况，从而提供对趋势和模式的洞察，这些趋势和模式可能并不立即显现。例如，在分析一个人口的收入分布时，五分位数可以帮助识别最低收入者与最高收入者的收入水平。五分位数（quintiles）的概念在社会科学中尤其有用，它可以揭示不同群体之间财富、教育或健康结果的差异。通过根据收入将个人或家庭分类为五分位数，政策制定者可以更好地理解经济不平等，并更有效地针对干预措施。例如，如果数据表明底层五分位数的收入远低于顶层五分位数，那么这一信息可以为旨在减少贫困和改善资源获取的政策提供依据。此外，五分位数（quintiles）可以应用于多个领域，包括市场营销、医疗保健和教育。在市场营销中，企业通常通过将客户支出习惯分成五分位数来识别高价值客户。这种细分使公司能够量身定制其营销策略，通过关注最有利可图的客户群体来提高客户保留率。在医疗保健中，研究人员可能会使用五分位数（quintiles）来评估不同患者人群中的治疗效果。通过比较不同五分位数患者的健康结果，医疗服务提供者可以识别哪些群体从特定干预中受益，哪些可能需要额外支持。这种方法促进了更加公平的医疗系统，确保所有患者都能获得所需的护理。此外，在教育领域，五分位数（quintiles）可以帮助评估学生的表现和成就差距。通过分析测试分数和学业表现在五分位数之间的差异，教育工作者可以识别学生在某些领域的困难，并实施针对性的项目来支持那些处于较低五分位数的学生。这种针对性的方法可以导致改善教育成果和更公平的学习环境。尽管使用五分位数（quintiles）有许多优点，但必须认识到这种方法的局限性。例如，虽然五分位数提供了数据分布的有用快照，但它们可能会过于简化复杂问题。划分为五分位数的数据集无法捕捉每个部分内的细微差别，重要的变化可能会丢失。因此，必须将五分位数分析与其他统计方法结合使用，以全面理解数据。总之，五分位数（quintiles）作为分析和解释各个领域数据的有价值工具。通过将数据集分为五个相等的部分，研究人员和分析师可以发现趋势、识别差异并为政策决策提供依据。然而，必须谨慎处理五分位数分析，认识到其局限性并与其他分析方法相结合。随着我们继续在日益数据驱动的世界中导航，掌握五分位数（quintiles）的使用对于任何参与研究、政策制定或商业战略的人来说都是至关重要的。