perfectly representative sample

简明释义

具有完全代表性的样本

英英释义

例句

1.The success of this experiment relies heavily on having a perfectly representative sample of the entire demographic.

这个实验的成功在很大程度上依赖于拥有一个整个群体的完美代表性样本。

2.In order to conduct a reliable survey, we need to ensure that our participants form a perfectly representative sample of the population we are studying.

为了进行可靠的调查，我们需要确保我们的参与者构成一个完美代表性的样本，与我们研究的人群相符。

3.The research team was praised for their methodology, which included a perfectly representative sample of different age groups.

研究团队因其方法论而受到称赞，其中包括了不同年龄组的完美代表性样本。

4.To validate our findings, we must use a perfectly representative sample that reflects the diversity of our target audience.

为了验证我们的发现，我们必须使用一个反映目标受众多样性的完美代表性样本。

5.The company conducted market research using a perfectly representative sample to better understand consumer preferences.

该公司使用一个完美代表性样本进行市场研究，以更好地理解消费者偏好。

作文

In the field of research and statistics, the concept of a perfectly representative sample is crucial for drawing accurate conclusions. A perfectly representative sample refers to a subset of a population that accurately reflects the characteristics of the entire group. This means that every relevant demographic, such as age, gender, income level, and education, is proportionally represented in the sample. When researchers collect data from a perfectly representative sample, they can generalize their findings to the larger population with greater confidence.For example, consider a study aimed at understanding the voting preferences of a country’s population. If the researchers were to conduct a survey using a perfectly representative sample, they would ensure that the sample includes individuals from various regions, ethnic backgrounds, and socio-economic statuses. This would allow them to capture a wide range of opinions and behaviors, leading to more reliable insights about the electorate.On the other hand, if the sample were biased—say, only including participants from urban areas or a particular age group—the conclusions drawn from the study could be misleading. The findings might suggest that certain demographics are more likely to vote for a specific party, when in reality, those results are not reflective of the entire population. This highlights the importance of obtaining a perfectly representative sample in order to avoid errors in judgment and policy-making.Moreover, achieving a perfectly representative sample can be challenging. Researchers must consider various factors, including sampling methods and potential biases. Random sampling is one technique often employed to create a perfectly representative sample. By randomly selecting participants from the population, researchers can reduce the likelihood of bias. However, it is also essential to ensure that the sample size is adequate; a small sample may not capture the diversity of the population, even if it is randomly selected.In addition to random sampling, stratified sampling can be another effective method for obtaining a perfectly representative sample. This technique involves dividing the population into distinct subgroups, or strata, based on shared characteristics, and then randomly sampling from each stratum. This ensures that all segments of the population are represented, which is particularly important in studies where certain groups may be underrepresented.In conclusion, the significance of a perfectly representative sample cannot be overstated. It is fundamental to the integrity of research outcomes and the validity of conclusions drawn from data analysis. Researchers must strive to obtain a perfectly representative sample through careful planning and execution of their sampling methods. By doing so, they enhance the reliability of their findings and contribute to informed decision-making in various fields, from politics to public health. Ultimately, understanding and implementing the principles of obtaining a perfectly representative sample is essential for anyone involved in research and data analysis.

在研究和统计领域，完美代表性样本的概念对于得出准确结论至关重要。完美代表性样本是指一个子集，其特征准确反映了整个群体的特性。这意味着每个相关的人口统计信息，例如年龄、性别、收入水平和教育程度，都在样本中按比例表示。当研究人员从完美代表性样本中收集数据时，他们可以更有信心地将他们的发现推广到更大的人群中。例如，考虑一项旨在了解一个国家人口投票偏好的研究。如果研究人员使用了完美代表性样本进行调查，他们会确保样本包括来自不同地区、种族背景和社会经济地位的个人。这将使他们能够捕捉到广泛的观点和行为，从而导致对选民的更可靠见解。另一方面，如果样本存在偏差——比如只包括城市地区或特定年龄组的参与者——则从该研究得出的结论可能会产生误导。研究结果可能表明某些人口统计数据更可能支持特定政党，而实际上，这些结果并不反映整个群体。这突显了获取完美代表性样本的重要性，以避免判断和政策制定中的错误。此外，获得完美代表性样本可能具有挑战性。研究人员必须考虑各种因素，包括抽样方法和潜在偏见。随机抽样是一种常用的技术，用于创建完美代表性样本。通过从人群中随机选择参与者，研究人员可以减少偏见的可能性。然而，还必须确保样本量足够；即使是随机选择的小样本也可能无法捕捉到人群的多样性。除了随机抽样，分层抽样也是获得完美代表性样本的另一种有效方法。这种技术涉及将人群根据共享特征划分为不同的子组或层，然后从每个层中随机抽样。这确保了所有人群的各个部分都得到代表，这在某些群体可能被低估的研究中特别重要。总之，完美代表性样本的重要性不容小觑。它是研究结果完整性和数据分析得出结论有效性的基础。研究人员必须通过仔细规划和执行抽样方法来努力获得完美代表性样本。通过这样做，他们增强了发现的可靠性，并为各个领域的知情决策做出了贡献，从政治到公共卫生。最终，理解和实施获取完美代表性样本原则对于任何参与研究和数据分析的人都是必不可少的。