representative sample

简明释义

代表性抽样

英英释义

例句

1.The researchers selected a representative sample from various age groups to study consumer behavior.

研究人员从各个年龄组中选择了一个代表性样本来研究消费者行为。

2.To conduct a valid survey, we need to ensure that our participants form a representative sample of the population.

为了进行有效的调查，我们需要确保我们的参与者形成一个代表性样本。

3.The team used a representative sample to ensure their results were applicable to the entire city.

团队使用了一个代表性样本以确保他们的结果适用于整个城市。

4.A representative sample is crucial for obtaining accurate data in statistical analysis.

在统计分析中，代表性样本对于获得准确数据至关重要。

5.In order to generalize the findings, it's essential to have a representative sample in your study.

为了使研究结果具有普遍性，您的研究中必须有一个代表性样本。

作文

In the field of research and statistics, the concept of a representative sample plays a crucial role in ensuring that the results of a study can be generalized to a larger population. A representative sample is a subset of a population that accurately reflects the characteristics of the whole group. This means that the sample should include individuals from various backgrounds, ages, genders, and other relevant factors that are present in the entire population being studied. By selecting a representative sample, researchers can draw conclusions that are more likely to hold true for the broader group.For instance, consider a study aimed at understanding the dietary habits of teenagers in a city. If a researcher only surveys students from a single school, the findings may not accurately represent the eating habits of all teenagers in that city. Instead, by ensuring that the representative sample includes participants from different schools, socio-economic backgrounds, and cultural groups, the researcher can obtain a more comprehensive view of the dietary trends among teenagers.Moreover, the importance of a representative sample extends beyond just the diversity of participants. It also involves the appropriate size of the sample. A small sample size may lead to skewed results, while a larger, well-chosen representative sample can provide more reliable data. Statistical methods can help determine the ideal sample size needed to achieve valid results. Another critical aspect of obtaining a representative sample is the method of selection. Random sampling is one of the most effective techniques to achieve this goal. When researchers randomly select participants from the population, every individual has an equal chance of being chosen, which minimizes biases and enhances the likelihood that the sample will truly reflect the population.In contrast, convenience sampling, where researchers select individuals who are easiest to reach, often leads to biased results. For example, if a researcher conducts a survey at a local mall, they may inadvertently exclude individuals who do not frequent that location, such as those who work during the day or those who prefer shopping online. This could result in a representative sample that does not accurately depict the entire population's views or behaviors.In conclusion, the concept of a representative sample is fundamental in research and statistics. It ensures that studies can yield valid and generalizable results. By carefully considering the diversity, size, and selection method of the sample, researchers can better understand the phenomena they are studying. Ultimately, the effectiveness of any research hinges on the quality of the representative sample, making it a vital component of the scientific process. As we continue to explore various fields of inquiry, the emphasis on obtaining a truly representative sample will remain paramount to advancing knowledge and understanding in our society.

在研究和统计领域，代表性样本的概念在确保研究结果可以推广到更大人群中发挥着至关重要的作用。代表性样本是一个人口的子集，它准确反映了整个群体的特征。这意味着样本应包括来自不同背景、年龄、性别和其他相关因素的个体，这些因素在被研究的整个群体中都存在。通过选择代表性样本，研究人员可以得出更有可能适用于更广泛群体的结论。例如，考虑一项旨在了解城市青少年饮食习惯的研究。如果研究者只调查一所学校的学生，发现的结果可能无法准确代表该城市所有青少年的饮食习惯。相反，通过确保代表性样本包括来自不同学校、社会经济背景和文化群体的参与者，研究人员可以获得关于青少年饮食趋势的更全面的视角。此外，代表性样本的重要性不仅仅体现在参与者的多样性上。它还涉及样本的适当大小。小样本量可能导致结果偏差，而较大且精心挑选的代表性样本可以提供更可靠的数据。统计方法可以帮助确定实现有效结果所需的理想样本大小。获得代表性样本的另一个关键方面是选择方法。随机抽样是实现这一目标的最有效技术之一。当研究人员从总体中随机选择参与者时，每个个体都有相等的机会被选中，这减少了偏见并增强了样本真正反映人群的可能性。相反，便利抽样，即研究人员选择最容易接触到的个体，往往会导致偏见结果。例如，如果研究者在当地购物中心进行调查，他们可能无意中排除了那些不常去该地点的个体，例如白天工作的人或更喜欢在线购物的人。这可能导致代表性样本未能准确描绘整个群体的观点或行为。总之，代表性样本的概念在研究和统计中是基础性的。它确保研究能够产生有效且可推广的结果。通过仔细考虑样本的多样性、大小和选择方法，研究人员可以更好地理解他们正在研究的现象。最终，任何研究的有效性都取决于代表性样本的质量，使其成为科学过程中的一个重要组成部分。随着我们继续探索各个领域的研究，获得真正的代表性样本的重要性将始终是推动知识和理解进步的关键。