sample unit; sampling unit

简明释义

抽样单位

英英释义

例句

1.In market research, a focus group is often used as a sample unit 样本单元 to gauge opinions.

在市场研究中，焦点小组通常用作样本单元 样本单元来评估意见。

2.For the study, we selected a sampling unit 抽样单元 that consisted of households within a specific zip code.

对于这项研究，我们选择的抽样单元 抽样单元包括特定邮政编码内的家庭。

3.When conducting a clinical trial, each patient enrolled is treated as a sampling unit 抽样单元.

在进行临床试验时，每个注册的患者被视为一个抽样单元 抽样单元。

4.The sample unit 样本单元 for this experiment was a single plant specimen from each species.

本实验的样本单元 样本单元是每种植物标本中的一个。

5.In a survey of consumer preferences, each individual respondent is considered a sample unit 样本单元.

在消费者偏好调查中，每个个体受访者被视为一个样本单元 样本单元。

作文

In the field of research and statistics, understanding the concept of a sample unit is crucial for gathering accurate data. A sampling unit, which refers to the individual units from which data is collected, plays a pivotal role in determining the reliability and validity of a study. When researchers design their studies, they must carefully select sample units to ensure that their findings can be generalized to a larger population. This process begins with defining the target population, which is the entire group that the researcher is interested in studying. Once the target population is established, the next step is to identify the sampling units, which are the specific entities or individuals that will be included in the sample. For instance, if a researcher is conducting a survey on the eating habits of teenagers in a city, each teenager in that city would represent a sample unit. The selection of these sampling units can significantly influence the outcomes of the research. There are various methods for selecting sample units, including random sampling, stratified sampling, and cluster sampling. Random sampling ensures that every member of the population has an equal chance of being selected, which helps to eliminate bias. Stratified sampling involves dividing the population into subgroups and then randomly selecting sample units from each subgroup to ensure representation. Cluster sampling, on the other hand, involves dividing the population into clusters and then randomly selecting entire clusters for the study. Each of these methods has its advantages and disadvantages, and the choice of method depends on the research objectives and the nature of the population. Moreover, the size of the sample is also a critical factor. A larger sample size typically leads to more reliable results, as it reduces the margin of error. However, researchers must balance the need for a large sample with practical considerations such as time, cost, and resource availability. Thus, determining the appropriate number of sample units is a key decision in the research process. In conclusion, the concepts of sample unit and sampling unit are fundamental in research methodology. Understanding these terms helps researchers to design effective studies that yield valid and generalizable results. By carefully selecting and defining sample units, researchers can enhance the quality of their data and contribute valuable insights to their fields of study. Ultimately, the success of any research endeavor hinges on the thoughtful consideration of how sample units are chosen and utilized throughout the research process.

在研究和统计的领域，理解样本单位的概念对于收集准确的数据至关重要。抽样单位指的是从中收集数据的个体单位，在确定研究的可靠性和有效性方面起着关键作用。当研究人员设计他们的研究时，必须仔细选择样本单位以确保他们的发现可以推广到更大的总体。这一过程始于定义目标总体，即研究者感兴趣的整个群体。一旦确定了目标总体，下一步就是识别抽样单位，即将包含在样本中的具体实体或个体。例如，如果研究人员正在进行一项关于城市青少年饮食习惯的调查，该城市的每个青少年都将代表一个样本单位。这些抽样单位的选择可能会显著影响研究的结果。选择样本单位的方法有多种，包括随机抽样、分层抽样和聚类抽样。随机抽样确保总体的每个成员都有相等的机会被选中，从而帮助消除偏差。分层抽样涉及将总体划分为子群体，然后从每个子群体中随机选择样本单位以确保代表性。而聚类抽样则涉及将总体划分为若干群体，然后随机选择整个群体进行研究。这些方法各有优缺点，选择方法取决于研究目标和总体的性质。此外，样本的大小也是一个关键因素。较大的样本量通常会导致更可靠的结果，因为它减少了误差范围。然而，研究人员必须在大样本需求与时间、成本和资源可用性等实际考虑之间取得平衡。因此，确定适当的抽样单位数量是研究过程中的一个关键决策。总之，样本单位和抽样单位的概念在研究方法论中是基础性的。理解这些术语有助于研究人员设计有效的研究，产生有效且可推广的结果。通过仔细选择和定义样本单位，研究人员可以提高数据的质量，为其研究领域提供有价值的见解。最终，任何研究工作的成功都取决于对如何选择和利用样本单位的深思熟虑。