sampling period

简明释义

抽样时期,抽样周期

英英释义

例句

1.During the sampling period 采样周期, we observed a significant increase in user engagement.

在采样周期 采样周期内，我们观察到用户参与度显著增加。

2.The sampling period 采样周期 for the survey was set to one month.

调查的采样周期 采样周期定为一个月。

3.The data collected during the sampling period 采样周期 will be analyzed to determine trends.

在这个采样周期 采样周期内收集的数据将被分析以确定趋势。

4.We decided to extend the sampling period 采样周期 to get more accurate results.

我们决定延长采样周期 采样周期以获得更准确的结果。

5.It is crucial to select an appropriate sampling period 采样周期 for accurate data collection.

选择合适的采样周期 采样周期对于准确的数据收集至关重要。

作文

In the field of statistics and data analysis, understanding the concept of a sampling period is crucial for conducting accurate research. A sampling period refers to the specific duration during which data is collected from a population or a sample. This period can vary significantly depending on the nature of the study, the type of data being collected, and the objectives of the research. For instance, in a longitudinal study that examines changes over time, the sampling period may span several months or even years. On the other hand, a cross-sectional study may only require data collection over a shorter sampling period, perhaps just a few days or weeks.The choice of a sampling period can greatly influence the outcomes of a study. If the period is too short, the data may not accurately represent the population’s characteristics, leading to skewed results. Conversely, an excessively long sampling period might introduce variables that can confound the findings, such as seasonal effects or changes in external conditions. Therefore, researchers must carefully consider their sampling period to ensure that it aligns with their research goals and provides reliable data.For example, consider a researcher studying consumer behavior during the holiday shopping season. The sampling period might be set to encompass the month of December, capturing the peak buying times and holiday sales. If the researcher were to limit the sampling period to just one week, they might miss out on important trends and patterns that occur throughout the entire month. On the contrary, if the sampling period extended into January, the data could be influenced by post-holiday returns and clearance sales, complicating the analysis.Moreover, the length of the sampling period can also affect the resources required for data collection. A longer sampling period may necessitate more funding, personnel, and time, which could be a limiting factor for many researchers. Thus, balancing the need for comprehensive data with practical constraints is essential when determining the sampling period.In conclusion, the sampling period is a fundamental aspect of research design that warrants careful consideration. It plays a pivotal role in shaping the validity and reliability of the data collected. By thoughtfully selecting an appropriate sampling period, researchers can enhance the quality of their studies and contribute valuable insights to their respective fields. Understanding this concept not only aids in better research practices but also fosters a deeper appreciation for the complexities involved in data collection and analysis.

在统计学和数据分析领域，理解抽样期的概念对于进行准确的研究至关重要。抽样期是指从一个总体或样本中收集数据的特定时间段。根据研究的性质、所收集数据的类型和研究目标，这个时期可能会有很大差异。例如，在一项研究随着时间变化的纵向研究中，抽样期可能会持续数月甚至数年。另一方面，横断面研究可能只需要在较短的抽样期内收集数据，也许只是几天或几周。抽样期的选择会极大影响研究的结果。如果时间段过短，数据可能无法准确代表总体的特征，从而导致结果偏差。相反，过长的抽样期可能会引入可能混淆研究发现的变量，例如季节性影响或外部条件的变化。因此，研究人员必须仔细考虑他们的抽样期，以确保其与研究目标一致，并提供可靠的数据。例如，考虑一位研究假日购物季消费者行为的研究者。抽样期可能设定为涵盖12月份，以捕捉高峰购买时间和假日促销。如果研究者将抽样期限制在仅一周，他们可能会错过在整个一个月中发生的重要趋势和模式。相反，如果抽样期延长到1月份，数据可能会受到假日后的退货和清仓销售的影响，从而使分析变得复杂。此外，抽样期的长度也会影响数据收集所需的资源。较长的抽样期可能需要更多的资金、人员和时间，这可能是许多研究者的限制因素。因此，在确定抽样期时，平衡对全面数据的需求与实际限制至关重要。总之，抽样期是研究设计中的一个基本方面，值得仔细考虑。它在塑造所收集数据的有效性和可靠性方面发挥着关键作用。通过认真选择合适的抽样期，研究人员可以提高研究的质量，为各自领域提供有价值的见解。理解这一概念不仅有助于更好的研究实践，还能加深对数据收集和分析中涉及的复杂性的认识。