deciles

简明释义

英[ˈdɛsaɪlz]美[ˈdɛsaɪlz]

n. [统计]十分位数（decile 的复数形式）

英英释义

单词用法

同义词

反义词

例句

1.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。

2.The next decile down saw roughly 25% growth, and the number of jobs in the lowest two deciles also increased.

接下来的十分位水平的工作大体上增加了25%，同样最低两个十分位水平的工作也增加了。

3.Analysis also unfolds income characters of equally weighted deciles portfolios when developing period coincides with holding period with method of overlapping sampling.

采用重叠抽样方法研究了形成期和持有期相同情况下十分位组合的收益特性。

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.In our analysis, we found that the top deciles of earners have significantly higher savings rates.

在我们的分析中，我们发现收入最高的十分位数的储蓄率显著更高。

6.We can compare the performance of students across different deciles of academic achievement.

我们可以比较不同学业成就十分位数学生的表现。

7.The report showed that the lowest deciles faced significant challenges in accessing healthcare.

报告显示，最低的十分位数在获得医疗保健方面面临重大挑战。

8.The data was segmented into deciles to better understand consumer behavior.

数据被细分为十分位数以更好地理解消费者行为。

9.The income distribution was divided into ten equal parts called deciles.

收入分配被划分为十个相等的部分，称为十分位数。

作文

In the field of statistics, data analysis often involves breaking down information into manageable segments to better understand trends and patterns. One such method is the use of deciles, which are statistical measures that divide a dataset into ten equal parts. Each decile represents 10% of the data, allowing researchers to analyze specific segments and gain insights into the distribution of values within a dataset.For example, consider a scenario where a researcher is examining the income levels of a population. By calculating the deciles, the researcher can identify the income thresholds that separate different segments of the population. The first decile would represent the lowest 10% of income earners, while the tenth decile would represent the highest 10%. This breakdown allows for a clearer understanding of income inequality and economic stratification within the society.The importance of using deciles extends beyond just income analysis. In education, for instance, schools may use deciles to assess student performance. By ranking students' scores and dividing them into deciles, educators can identify which students are performing in the top 10%, the bottom 10%, and so on. This information can help teachers tailor their instruction to meet the needs of different groups of students, ensuring that those who are struggling receive the support they need, while those who are excelling can be challenged further.Moreover, deciles can also be applied in health research. For instance, researchers might use deciles to categorize individuals based on their body mass index (BMI). By doing so, they can identify which segments of the population are at higher risk for obesity-related health issues. This categorization can inform public health initiatives aimed at reducing obesity rates by targeting specific deciles of the population with tailored health campaigns and interventions.Understanding deciles is crucial for effective data analysis because they provide a simple yet powerful way to visualize and interpret complex datasets. By segmenting data into deciles, analysts can quickly identify trends, anomalies, and areas of concern that may require further investigation. This method not only aids in academic research but also has practical applications in various fields, including business, healthcare, and social sciences.In conclusion, deciles serve as an essential tool in statistics and data analysis, enabling researchers and practitioners to break down complex information into digestible parts. Whether analyzing income distribution, student performance, or health metrics, the use of deciles enhances our understanding of data and supports informed decision-making. As we continue to navigate an increasingly data-driven world, mastering the concept of deciles will undoubtedly prove beneficial in various professional and academic endeavors.

在统计学领域，数据分析通常涉及将信息分解为可管理的部分，以更好地理解趋势和模式。使用十分位数是一种方法，它是将数据集分成十个相等部分的统计测量。每个十分位数代表数据的10%，允许研究人员分析特定的段落，并获得数据集中值分布的见解。例如，考虑一个场景，其中一位研究人员正在检查一个人群的收入水平。通过计算十分位数，研究人员可以识别出不同人群的收入阈值。第一个十分位数代表收入最低的10%，而第十个十分位数则代表收入最高的10%。这种细分使得对社会中收入不平等和经济分层的理解更加清晰。使用十分位数的重要性不仅限于收入分析。在教育领域，例如，学校可能会使用十分位数来评估学生表现。通过对学生的成绩进行排名并将其分为十分位数，教育工作者可以识别出表现前10%的学生、底部10%的学生等等。这些信息可以帮助教师调整教学，以满足不同学生群体的需求，确保那些挣扎的学生得到所需的支持，而表现出色的学生则能接受进一步的挑战。此外，十分位数也可以应用于健康研究。例如，研究人员可能会使用十分位数来根据体重指数（BMI）对个人进行分类。通过这样做，他们可以识别出哪些人群处于更高的肥胖相关健康问题风险中。这种分类可以为减少肥胖率的公共卫生倡议提供信息，针对特定的人群十分位数进行量身定制的健康活动和干预。理解十分位数对于有效的数据分析至关重要，因为它们提供了一种简单而强大的方式来可视化和解释复杂的数据集。通过将数据分割为十分位数，分析师可以快速识别出趋势、异常和可能需要进一步调查的问题。这种方法不仅有助于学术研究，还有在商业、医疗保健和社会科学等各个领域的实际应用。总之，十分位数作为统计和数据分析中的一种重要工具，使研究人员和从业者能够将复杂的信息分解为易于消化的部分。无论是分析收入分配、学生表现还是健康指标，使用十分位数都增强了我们对数据的理解，并支持了基于信息的决策。在我们继续进入一个越来越数据驱动的世界时，掌握十分位数的概念无疑将在各种职业和学术努力中证明其益处。