sample number

简明释义

样品号码

英英释义

例句

1.The report includes the sample number 样本编号 and the results of the analysis.

报告包括样本编号和分析结果。

2.Each sample number 样本编号 corresponds to a specific batch of products.

每个样本编号对应于特定批次的产品。

3.The lab technician recorded the sample number 样本编号 for future reference.

实验室技术员记录了样本编号以备将来参考。

4.Please provide the sample number 样本编号 when submitting your application.

提交申请时请提供样本编号。

5.We need to verify the sample number 样本编号 before proceeding with the tests.

在进行测试之前，我们需要验证样本编号。

作文

In the field of research and statistics, the term sample number refers to the total count of individual observations or data points that are selected from a larger population for the purpose of analysis. Understanding the concept of sample number is crucial for researchers as it directly influences the reliability and validity of their findings. A well-chosen sample number can lead to more accurate conclusions, while an inadequate one may result in skewed results that do not accurately reflect the larger group.For instance, consider a study aimed at determining the average height of adult males in a particular city. If a researcher decides to survey only ten individuals, the sample number would be ten. However, this small sample number may not adequately represent the diverse population of adult males in that city. Factors such as age, ethnicity, and socio-economic status could significantly influence height, and a larger sample number would likely yield a more representative average.Moreover, the size of the sample number can also affect the statistical power of a study. Statistical power is the likelihood that a study will detect an effect when there is an effect to be detected. A larger sample number generally increases the power of a study, making it easier to identify true relationships among variables. This is particularly important in fields such as medicine, where understanding the efficacy of a new treatment may depend on having a robust sample number.In addition to the size of the sample number, the method used to select the sample is equally important. Random sampling techniques can help ensure that every member of the population has an equal chance of being included in the study, thereby reducing bias. When researchers use a random method to determine their sample number, they enhance the credibility of their results. Conversely, if the selection process is biased—such as only surveying individuals from a specific neighborhood—the sample number may not accurately reflect the entire population, leading to misleading conclusions.Furthermore, the context of the research also plays a role in determining the appropriate sample number. For qualitative studies, which often focus on understanding experiences and perspectives, a smaller sample number may be sufficient to gather rich, detailed information. On the other hand, quantitative studies, which rely on numerical data and statistical analysis, typically require a larger sample number to ensure that the findings are statistically significant.In conclusion, the concept of sample number is a foundational element in research methodology. It impacts the accuracy, reliability, and validity of study results. Researchers must carefully consider both the size and selection method of their sample number to produce meaningful and credible findings. As we advance in various fields of study, the importance of understanding how to effectively utilize sample number will continue to grow, ultimately enhancing the quality of research and its applications in real-world scenarios.

在研究和统计领域，术语sample number指的是从较大人群中选择的用于分析的个体观察或数据点的总数。理解sample number的概念对于研究人员至关重要，因为它直接影响到研究结果的可靠性和有效性。一个精心选择的sample number可以导致更准确的结论，而一个不充分的sample number可能导致扭曲的结果，无法准确反映更大群体。例如，考虑一项旨在确定某城市成年男性平均身高的研究。如果研究人员决定只调查十个人，那么sample number将是十。然而，这个小的sample number可能不足以充分代表该城市成年男性的多样性。年龄、种族和社会经济地位等因素可能会显著影响身高，因此更大的sample number可能会得出更具代表性的平均值。此外，sample number的大小也会影响研究的统计功效。统计功效是指研究在存在真实效应时检测到该效应的可能性。通常，较大的sample number会增加研究的功效，使识别变量之间的真实关系变得更加容易。这在医学等领域尤为重要，因为理解新治疗方法的有效性可能依赖于拥有一个强大的sample number。除了sample number的大小，选择样本的方法同样重要。随机抽样技术可以帮助确保人群中的每个成员都有相等的机会被纳入研究，从而减少偏见。当研究人员使用随机方法来确定他们的sample number时，他们增强了结果的可信度。相反，如果选择过程存在偏见——例如，只调查特定社区的个体——则该sample number可能无法准确反映整个群体，导致误导性的结论。此外，研究的背景也在确定适当的sample number方面发挥着作用。对于定性研究，通常关注于理解经验和视角，较小的sample number可能足以收集丰富、详细的信息。另一方面，定量研究依赖于数值数据和统计分析，通常需要较大的sample number以确保发现具有统计学意义。总之，sample number的概念是研究方法论的基础要素。它影响研究结果的准确性、可靠性和有效性。研究人员必须仔细考虑sample number的大小和选择方法，以产生有意义且可信的发现。随着我们在各个研究领域的进步，理解如何有效利用sample number的重要性将继续增长，最终提高研究的质量及其在实际场景中的应用。