sampling investigation

简明释义

抽样调查

英英释义

例句

1.The researchers conducted a sampling investigation 抽样调查 to determine the public's opinion on climate change.

研究人员进行了一项抽样调查 sampling investigation以确定公众对气候变化的看法。

2.The company used a sampling investigation 抽样调查 to gauge customer satisfaction with their new product line.

公司使用抽样调查 sampling investigation来评估客户对其新产品线的满意度。

3.For the health study, a sampling investigation 抽样调查 was essential to collect data from a diverse population.

在这项健康研究中，抽样调查 sampling investigation对于收集来自不同人群的数据至关重要。

4.The government initiated a sampling investigation 抽样调查 to understand the impact of the new policy on small businesses.

政府发起了一项抽样调查 sampling investigation以了解新政策对小型企业的影响。

5.A sampling investigation 抽样调查 was performed to assess the quality of water in the local rivers.

对当地河流水质进行了抽样调查 sampling investigation。

作文

In today's data-driven world, understanding various research methods is essential for making informed decisions. One such method is the sampling investigation, which plays a crucial role in gathering information from a subset of a larger population. This approach allows researchers to draw conclusions without needing to study every individual within the population, saving time and resources while still providing valuable insights.A sampling investigation involves selecting a representative group from a larger population to analyze specific characteristics or behaviors. For instance, if a company wants to understand customer satisfaction, it may conduct a sampling investigation by surveying a random selection of its customers rather than attempting to contact every single one. This method not only streamlines the process but also reduces costs associated with extensive surveys.One of the key advantages of a sampling investigation is that it enables researchers to make generalizations about the entire population based on the findings from the sample. However, it is crucial to ensure that the sample is representative of the larger population. If the sample is biased or unrepresentative, the conclusions drawn from the sampling investigation may be flawed, leading to inaccurate results.There are several techniques for conducting a sampling investigation. Random sampling is one of the most common methods, where every individual in the population has an equal chance of being selected. This technique minimizes bias and increases the likelihood that the sample accurately reflects the population's characteristics. Another method is stratified sampling, where the population is divided into subgroups, and samples are taken from each subgroup. This approach ensures that specific segments of the population are adequately represented in the sampling investigation.The reliability of a sampling investigation also depends on the size of the sample. A larger sample size generally leads to more accurate and reliable results, as it reduces the margin of error. However, researchers must balance the need for a larger sample with practical considerations such as time and cost. In some cases, a smaller, well-chosen sample can yield equally valid results if the sampling method is robust.Furthermore, the analysis of data collected through a sampling investigation can provide significant insights into trends and patterns within the population. For example, a political poll conducted through a sampling investigation can reveal public opinion on candidates or issues, allowing political parties to tailor their campaigns accordingly. Similarly, businesses can utilize findings from a sampling investigation to improve products and services based on customer feedback.In conclusion, a sampling investigation is a powerful research tool that allows for efficient data collection and analysis. By carefully selecting a representative sample and employing appropriate sampling techniques, researchers can gain valuable insights while minimizing time and costs. As the importance of data continues to grow in various fields, mastering the art of sampling investigation will undoubtedly enhance decision-making processes and contribute to more effective strategies across disciplines.

在当今以数据为驱动的世界中，理解各种研究方法对于做出明智的决策至关重要。其中一种方法是抽样调查，它在从更大的人群中收集信息方面发挥着关键作用。这种方法使研究人员能够在不需要研究每个个体的情况下得出结论，从而节省时间和资源，同时仍然提供有价值的见解。抽样调查涉及从更大的人群中选择一个代表性群体，以分析特定的特征或行为。例如，如果一家公司想了解客户满意度，它可能会通过对随机选择的客户进行调查来进行抽样调查，而不是试图联系每一个客户。这种方法不仅简化了过程，还减少了与广泛调查相关的成本。抽样调查的一个主要优点是，它使研究人员能够根据样本的发现对整个群体进行概括。然而，确保样本代表更大人群是至关重要的。如果样本存在偏差或不具代表性，从抽样调查中得出的结论可能是错误的，导致结果不准确。进行抽样调查有几种技术。随机抽样是最常用的方法之一，在这种方法中，群体中的每个个体都有相等的被选择机会。这种技术最小化了偏见，并增加了样本准确反映群体特征的可能性。另一种方法是分层抽样，其中将人群分成子组，并从每个子组中抽取样本。这种方法确保了在抽样调查中充分代表特定人群的细分。抽样调查的可靠性还取决于样本的大小。较大的样本量通常会导致更准确和可靠的结果，因为它减少了误差范围。然而，研究人员必须在样本量的需求与时间和成本等实际考虑之间取得平衡。在某些情况下，如果抽样方法稳健，则较小的、精心选择的样本也可以产生同样有效的结果。此外，通过抽样调查收集的数据分析可以提供有关人群趋势和模式的重要见解。例如，通过抽样调查进行的政治民调可以揭示公众对候选人或问题的看法，使政党能够相应地调整其竞选活动。同样，企业可以利用抽样调查的发现，根据客户反馈改进产品和服务。总之，抽样调查是一种强大的研究工具，允许高效的数据收集和分析。通过仔细选择一个代表性样本并采用适当的抽样技术，研究人员可以获得有价值的见解，同时最大限度地减少时间和成本。随着数据在各个领域的重要性不断增长，掌握抽样调查的艺术无疑将增强决策过程，并为各学科的更有效策略做出贡献。