master sample

简明释义

标准样品

英英释义

例句

1.We need to update our master sample every year to reflect changes in the population.

我们需要每年更新我们的母样本以反映人口的变化。

2.The research team used the master sample to ensure consistency in their data collection process.

研究团队使用了母样本以确保数据收集过程的一致性。

3.The survey was based on a master sample of 10,000 households across the country.

该调查基于全国范围内10,000个家庭的母样本。

4.When conducting experiments, always refer back to the master sample for reliable results.

进行实验时，始终参考母样本以获得可靠的结果。

5.In market research, a master sample can help identify target demographics more effectively.

在市场研究中，母样本可以更有效地识别目标人群。

作文

In the field of research and statistics, the term master sample refers to a comprehensive list or database that serves as the primary source for selecting samples in a study. This concept is crucial for ensuring that the data collected is representative of the larger population being studied. For instance, when conducting a survey on consumer preferences, researchers need a reliable master sample to draw their respondents from. Without a well-constructed master sample, the validity of the research findings can be compromised, leading to biased results that do not accurately reflect the views or behaviors of the entire population.The construction of a master sample involves several steps. Initially, researchers must define the target population clearly. This could be based on demographic factors such as age, gender, income level, or geographic location. Once the target population is established, the next step is to compile a list of potential respondents. This list can come from various sources, including government databases, commercial lists, or previous research studies. The goal is to create a comprehensive and diverse master sample that includes different segments of the population.After the master sample has been created, it is essential to ensure its accuracy and reliability. Researchers often conduct pilot tests to verify that the sample reflects the characteristics of the broader population. If discrepancies are found, adjustments to the master sample may be necessary. This iterative process helps refine the sample selection and enhances the overall quality of the research.One of the significant advantages of using a master sample is that it facilitates random sampling, which is a cornerstone of statistical validity. Random sampling allows researchers to select participants in a way that minimizes bias, ensuring that every individual in the population has an equal chance of being included in the study. This method enhances the credibility of the research findings, making them more trustworthy and applicable to the general population.Moreover, a well-defined master sample can save time and resources during the research process. By having a ready list of potential respondents, researchers can quickly initiate their data collection efforts without spending excessive time searching for participants. This efficiency is particularly important in large-scale studies where time constraints and budget limitations are often significant factors.In conclusion, the concept of a master sample is fundamental in research and statistics. It provides a structured approach to selecting participants, ensuring that the data collected is representative and reliable. By carefully constructing and validating a master sample, researchers can enhance the quality of their studies, ultimately leading to more accurate and meaningful findings. Understanding the importance of a master sample is essential for anyone involved in research, as it lays the groundwork for successful data collection and analysis.

在研究和统计学领域，术语master sample指的是一个全面的列表或数据库，它作为研究中选择样本的主要来源。这个概念对确保收集的数据能够代表正在研究的更大人群至关重要。例如，在进行消费者偏好调查时，研究人员需要一个可靠的master sample来抽取他们的受访者。如果没有构建良好的master sample，研究结果的有效性可能会受到影响，导致偏见结果，这些结果并不能准确反映整个群体的观点或行为。构建master sample涉及几个步骤。首先，研究人员必须清楚地定义目标人群。这可以基于年龄、性别、收入水平或地理位置等人口统计因素。一旦确定了目标人群，下一步是编制潜在受访者的名单。这个名单可以来自多个来源，包括政府数据库、商业名单或以前的研究。目标是创建一个全面且多样化的master sample，其中包括人群的不同部分。在创建master sample后，确保其准确性和可靠性至关重要。研究人员通常会进行试点测试，以验证样本是否反映更大人群的特征。如果发现差异，可能需要对master sample进行调整。这一迭代过程有助于细化样本选择，提高研究的整体质量。使用master sample的一个重大优势是，它促进了随机抽样，这是统计有效性的基石。随机抽样使研究人员能够以最小化偏见的方式选择参与者，确保人群中的每个人都有平等的机会被纳入研究。这种方法增强了研究结果的可信度，使其更值得信赖并适用于一般人群。此外，一个明确定义的master sample可以在研究过程中节省时间和资源。通过拥有一份潜在受访者的现成名单，研究人员可以迅速启动数据收集工作，而不必花费过多时间寻找参与者。这种效率在大规模研究中尤其重要，因为时间限制和预算限制往往是显著因素。总之，master sample的概念在研究和统计学中是基础性的。它提供了一种结构化的方法来选择参与者，确保收集的数据具有代表性和可靠性。通过仔细构建和验证master sample，研究人员可以提高研究的质量，最终导致更准确和有意义的发现。理解master sample的重要性对于任何参与研究的人来说都是必不可少的，因为它为成功的数据收集和分析奠定了基础。