aggregate sample

简明释义

混合样;

英英释义

例句

1.The aggregate sample was used to assess the impact of climate change on local biodiversity.

该综合样本用于评估气候变化对地方生物多样性的影响。

2.The researchers collected an aggregate sample from various locations to ensure diverse data representation.

研究人员从多个地点收集了一个综合样本，以确保数据的多样性表现。

3.The company analyzed an aggregate sample of customer feedback to improve service quality.

公司分析了一个综合样本的客户反馈，以提高服务质量。

4.In this study, the aggregate sample included data from multiple demographic groups.

在这项研究中，综合样本包含来自多个人口群体的数据。

5.To analyze the overall trend, we need to examine the aggregate sample of the last five years.

为了分析整体趋势，我们需要检查过去五年的综合样本。

作文

In the field of statistics and research, the term aggregate sample refers to a collection of data points that are combined from various sources or groups. This concept is crucial in understanding how data can be analyzed and interpreted to draw meaningful conclusions. An aggregate sample is often used when researchers want to provide a comprehensive overview of a particular phenomenon by pooling together data from multiple studies or surveys. By doing so, they can enhance the reliability and validity of their findings. For example, consider a study on consumer behavior regarding online shopping. A researcher may collect data from several different regions, each with its own unique demographic characteristics. Instead of analyzing each region separately, the researcher might create an aggregate sample that combines all the data points from these regions. This allows for a more robust analysis that can reveal broader trends and patterns that might not be apparent when looking at individual samples.The process of creating an aggregate sample involves careful consideration of the sources of data. It is essential to ensure that the data being combined is compatible and relevant to the research question at hand. If the data sets come from vastly different contexts or populations, the results of the analysis could be skewed or misleading. Therefore, researchers must apply rigorous criteria when selecting data sources for their aggregate sample.Moreover, the use of an aggregate sample can significantly impact the statistical methods employed in the analysis. For instance, when dealing with an aggregate sample, researchers may opt for advanced statistical techniques that account for the variability within the combined data. This can lead to more nuanced insights and a deeper understanding of the underlying trends.However, it is also important to acknowledge the limitations of using an aggregate sample. While combining data can provide a larger pool for analysis, it may also obscure important differences between individual groups. For example, if one demographic group behaves differently from another, this nuance may be lost in an aggregate sample. Thus, researchers must balance the benefits of aggregation with the potential loss of detailed information.In conclusion, the concept of an aggregate sample plays a vital role in statistical analysis and research. It allows researchers to synthesize data from multiple sources, providing a broader perspective on the topic under investigation. However, it is crucial to approach the creation and analysis of an aggregate sample with caution, ensuring that the data is relevant and that the nuances of individual groups are not overlooked. Through careful application of this method, researchers can contribute valuable insights to their fields, ultimately advancing our understanding of complex phenomena.

在统计和研究领域，术语aggregate sample指的是从各种来源或群体中组合的数据点集合。这个概念在理解如何分析和解释数据以得出有意义的结论时至关重要。aggregate sample通常用于研究人员希望通过汇集来自多个研究或调查的数据来提供特定现象的全面概述时。通过这样做，他们可以增强其发现的可靠性和有效性。例如，考虑一个关于在线购物消费者行为的研究。研究人员可能会收集来自几个不同地区的数据，每个地区都有其独特的人口特征。研究人员可能会创建一个将这些地区的所有数据点结合在一起的aggregate sample，而不是分别分析每个地区。这允许进行更稳健的分析，可以揭示更广泛的趋势和模式，这些趋势和模式在查看单个样本时可能并不明显。创建aggregate sample的过程涉及对数据来源的仔细考虑。确保所结合的数据与研究问题相关且兼容至关重要。如果数据集来自截然不同的背景或人群，则分析结果可能会受到扭曲或误导。因此，研究人员在选择数据源以构建aggregate sample时必须应用严格的标准。此外，使用aggregate sample可能会显著影响分析中采用的统计方法。例如，在处理aggregate sample时，研究人员可能会选择先进的统计技术，以考虑组合数据中的变异性。这可以导致更细致的洞察和对潜在趋势的更深刻理解。然而，也必须承认使用aggregate sample的局限性。虽然组合数据可以提供更大的分析池，但它也可能掩盖个别群体之间的重要差异。例如，如果一个人口群体的行为与另一个群体不同，这种细微差别可能会在aggregate sample中丢失。因此，研究人员必须在聚合的好处与潜在的信息丧失之间取得平衡。总之，aggregate sample的概念在统计分析和研究中发挥着至关重要的作用。它允许研究人员综合来自多个来源的数据，从而为正在调查的主题提供更广泛的视角。然而，创建和分析aggregate sample时必须谨慎，确保数据相关，并且不忽略个别群体的细微差别。通过对这种方法的谨慎应用，研究人员可以为他们的领域贡献有价值的见解，最终推动我们对复杂现象的理解。