complete sample

简明释义

完备样本

英英释义

例句

1.The researcher presented a complete sample of survey responses during the conference.

研究员在会议上展示了一份调查回应的完整样本。

2.To ensure accuracy, please submit a complete sample of your work.

为了确保准确性，请提交您工作的完整样本。

3.The lab requires a complete sample of blood for the analysis.

实验室需要一份完整的血液样本进行分析。

4.We need to collect a complete sample of the product for quality testing.

我们需要收集一个完整的样本以进行质量测试。

5.In order to finalize the report, we need a complete sample of the data.

为了最终确定报告，我们需要一份数据的完整样本。

作文

In the field of research and data analysis, having a reliable and representative dataset is crucial for drawing accurate conclusions. A complete sample refers to a subset of a population that includes every possible member of that group. This concept is fundamental in statistics and helps researchers ensure that their findings are valid and applicable to the larger population. Without a complete sample, the results of a study may be skewed or biased, leading to incorrect interpretations and decisions. When conducting surveys or experiments, researchers often aim to gather a complete sample to capture the full diversity of the population they are studying. For instance, if a researcher wishes to understand the eating habits of teenagers in a city, they need to ensure that their sample includes teenagers from various backgrounds, neighborhoods, and socioeconomic statuses. By doing so, they can analyze trends and patterns that reflect the true nature of the entire population.Moreover, a complete sample allows researchers to minimize errors and enhance the reliability of their conclusions. In contrast, a partial or incomplete sample may overlook critical segments of the population, which could lead to misleading results. For example, if a study on public health only surveys individuals from affluent neighborhoods, it may miss out on the health issues faced by those in lower-income areas. Therefore, achieving a complete sample is essential for obtaining a holistic view of the subject matter.In practice, gathering a complete sample can be challenging due to logistical constraints, time limitations, and financial resources. Researchers must carefully plan their sampling strategy to ensure representation across different demographics. Techniques such as stratified sampling or cluster sampling can be employed to achieve a more inclusive complete sample. These methods help in dividing the population into distinct subgroups and ensuring that each subgroup is adequately represented in the final sample.Additionally, technology has played a significant role in facilitating the collection of complete samples. Online surveys and data collection tools allow researchers to reach a broader audience quickly. However, it is still vital to verify that the sample collected is indeed complete and representative. This verification process often involves statistical analysis and comparison with known population parameters.In conclusion, the importance of a complete sample cannot be overstated in research. It serves as the foundation for credible findings and informs policy decisions, business strategies, and scientific advancements. Researchers must prioritize the collection of a complete sample to ensure that their work contributes meaningfully to the understanding of complex issues. By striving for completeness in their samples, they can provide insights that truly reflect the realities of the population they study, ultimately leading to better outcomes for society as a whole.

在研究和数据分析领域，拥有可靠且具有代表性的数据集对于得出准确的结论至关重要。完整样本是指包括该群体中每个可能成员的子集。这个概念在统计学中是基础，有助于研究人员确保他们的发现有效且适用于更大的人群。如果没有完整样本，研究的结果可能会出现偏差或偏见，导致错误的解释和决策。在进行调查或实验时，研究人员通常旨在收集完整样本，以捕捉他们所研究的人群的全部多样性。例如，如果一位研究人员希望了解城市青少年的饮食习惯，他们需要确保其样本包括来自不同背景、社区和社会经济地位的青少年。通过这样做，他们可以分析反映整个群体真实情况的趋势和模式。此外，完整样本使研究人员能够最小化错误并增强结论的可靠性。相反，部分或不完整的样本可能会忽略人群中的关键部分，这可能导致误导性的结果。例如，如果一项关于公共健康的研究仅调查富裕社区的个人，它可能会错过低收入地区面临的健康问题。因此，实现完整样本对于获得主题的全面视角至关重要。在实践中，由于后勤限制、时间限制和财务资源，收集完整样本可能具有挑战性。研究人员必须仔细规划他们的抽样策略，以确保在不同人口统计特征中实现代表性。分层抽样或聚类抽样等技术可以用于实现更具包容性的完整样本。这些方法有助于将人群划分为不同的子组，并确保每个子组在最终样本中得到充分代表。此外，技术在促进完整样本的收集方面发挥了重要作用。在线调查和数据收集工具使研究人员能够快速接触更广泛的受众。然而，仍然至关重要的是验证所收集的样本确实是完整的且具有代表性的。这个验证过程通常涉及统计分析和与已知人口参数的比较。总之，完整样本的重要性在研究中不容小觑。它作为可信发现的基础，指导政策决策、商业战略和科学进步。研究人员必须优先收集完整样本，以确保他们的工作对复杂问题的理解产生有意义的贡献。通过努力实现样本的完整性，他们可以提供真正反映他们研究的人群现实的见解，最终为整个社会带来更好的结果。