systematic sampling

简明释义

系统抽样

英英释义

例句

1.The team decided that systematic sampling would provide a more representative sample for the survey.

团队决定使用系统抽样来提供更具代表性的调查样本。

2.In our research on consumer behavior, we used systematic sampling to select participants from a list of customers.

在我们对消费者行为的研究中，我们使用了系统抽样从客户名单中选择参与者。

3.For the quality control process, systematic sampling was implemented to check products at regular intervals.

在质量控制过程中，实施了系统抽样以定期检查产品。

4.The researchers utilized systematic sampling to ensure every tenth household was included in the analysis.

研究人员利用系统抽样确保每第十个家庭都被纳入分析。

5.By employing systematic sampling, we were able to reduce selection bias in our study.

通过采用系统抽样，我们能够减少研究中的选择偏差。

作文

In the realm of research and data collection, various sampling methods are employed to ensure that results are reliable and representative of the larger population. One such method is systematic sampling, which is widely used due to its simplicity and effectiveness. This technique involves selecting samples from a larger population at regular intervals, making it easier for researchers to gather data without bias. Understanding systematic sampling can significantly enhance the quality of research outcomes.To illustrate how systematic sampling works, consider a scenario where a researcher wants to study the eating habits of students in a large university. Instead of randomly selecting students, the researcher might decide to use a systematic approach. For example, if there are 1,000 students enrolled, the researcher could choose every 10th student on a list, resulting in a sample size of 100 students. This method ensures that every student has an equal chance of being selected, while also making the selection process more manageable.One of the primary advantages of systematic sampling is that it is straightforward and less time-consuming compared to other sampling methods, such as stratified or cluster sampling. Researchers can quickly obtain their samples without having to conduct complex calculations or procedures. Additionally, systematic sampling helps to minimize the potential for human error during the selection process, as the intervals are predetermined and do not rely on subjective judgment.However, it is important to note that systematic sampling does have its limitations. If there is a hidden pattern within the population that aligns with the sampling interval, it may lead to biased results. For instance, if every 10th student happens to belong to a specific group, such as athletes or international students, the sample may not accurately represent the entire student body. Therefore, researchers must be cautious and ensure that the population is homogenous or randomly ordered before applying this method.Moreover, systematic sampling can be particularly useful in situations where a complete list of the population is available. In cases where researchers do not have access to such a list, alternative sampling methods may be more appropriate. This highlights the importance of understanding the context and characteristics of the population being studied when choosing a sampling method.In conclusion, systematic sampling is a valuable tool in the arsenal of researchers seeking to draw conclusions from data. Its ease of implementation and ability to produce representative samples make it an attractive option for many studies. However, like any method, it requires careful consideration of the population and potential biases. By employing systematic sampling thoughtfully, researchers can enhance the validity of their findings and contribute to the overall body of knowledge in their field.In summary, systematic sampling (系统抽样) is a method that involves selecting samples at regular intervals from a larger population, which can lead to efficient and reliable data collection when used appropriately.

在研究和数据收集的领域中，采用各种抽样方法以确保结果可靠且能代表更大的人群。其中一种方法是系统抽样，由于其简单性和有效性而被广泛使用。这种技术涉及从更大的人群中以规则的间隔选择样本，使研究人员能够在不产生偏差的情况下收集数据。理解系统抽样可以显著提高研究结果的质量。为了说明系统抽样的工作原理，考虑一个场景：一位研究者想要研究一所大型大学学生的饮食习惯。研究者可以决定使用系统的方法，而不是随机选择学生。例如，如果有1,000名学生注册，研究者可以在名单上每隔10名学生选择一次，从而获得100名学生的样本。此方法确保每位学生都有相等的机会被选中，同时也使选择过程更易于管理。系统抽样的主要优点之一是，它比其他抽样方法（如分层抽样或聚类抽样）更加简单且耗时较少。研究人员可以快速获得样本，而无需进行复杂的计算或程序。此外，系统抽样有助于减少选择过程中的人为错误，因为间隔是预先确定的，并且不依赖于主观判断。然而，需要注意的是，系统抽样确实存在一些局限性。如果人群中存在与抽样间隔相一致的隐藏模式，可能会导致结果偏差。例如，如果每第10名学生恰好属于某个特定组别，如运动员或国际学生，那么样本可能无法准确代表整个学生群体。因此，研究人员必须谨慎行事，确保在人群均匀或随机排序的情况下再应用此方法。此外，系统抽样在研究人员拥有完整人群名单的情况下特别有用。在研究人员无法获得此类名单的情况下，其他抽样方法可能更为合适。这突显了在选择抽样方法时理解研究对象的背景和特征的重要性。总之，系统抽样是研究人员在寻求从数据中得出结论时的一种宝贵工具。其实施的便利性和生成代表性样本的能力使其成为许多研究的吸引选项。然而，像任何方法一样，它需要对人群和潜在偏见进行仔细考虑。通过审慎地使用系统抽样，研究人员可以提高其发现的有效性，并为其领域的整体知识体系做出贡献。总之，系统抽样（系统抽样）是一种从更大人群中以规则间隔选择样本的方法，当适当使用时，可以实现高效和可靠的数据收集。