average sample number

简明释义

1. 平均抽样数; 2. 平均取样数;

英英释义

例句

1.In this survey, the average sample number 平均样本数 was 150 participants.

在这项调查中，平均样本数为150名参与者。

2.To ensure reliability, we need to increase the average sample number 平均样本数 in our study.

为了确保可靠性，我们需要在我们的研究中增加平均样本数。

3.For our analysis, we found that the average sample number 平均样本数 significantly affects the outcome.

在我们的分析中，我们发现平均样本数显著影响结果。

4.The research team calculated the average sample number 平均样本数 required for accurate results.

研究小组计算了获得准确结果所需的平均样本数。

5.The average sample number 平均样本数 was determined based on previous experiments.

根据以前的实验确定了平均样本数。

作文

In the field of statistics, understanding various terms is crucial for accurate data analysis and interpretation. One such term that often arises in research and experimentation is the average sample number. The average sample number refers to the mean value of a set of sample sizes taken from a population. It provides researchers with a benchmark to evaluate the representativeness of their samples and helps ensure that conclusions drawn from the data are valid and reliable.When conducting experiments or surveys, researchers must decide how many samples to collect. This decision can significantly impact the results. If too few samples are taken, the data may not accurately reflect the population, leading to biased conclusions. Conversely, collecting too many samples can be time-consuming and costly without adding significant value to the analysis. Therefore, calculating the average sample number is essential for optimizing the sampling process.For instance, consider a study aiming to determine the average height of adult males in a city. Researchers might choose to take samples from different neighborhoods. If they find that the heights from one neighborhood consistently differ from others, they need to assess whether their average sample number is sufficient. By analyzing the average sample number, they can adjust their sampling strategy to ensure a more comprehensive representation of the entire population.Moreover, the concept of average sample number is not limited to physical measurements. In fields like psychology, marketing, and public health, researchers rely on this statistical measure to understand behaviors, preferences, and trends among different demographics. For example, a market researcher might analyze consumer preferences by surveying a certain number of individuals. The average sample number helps them gauge whether the surveyed group accurately reflects the larger market.Additionally, when presenting research findings, it is important to communicate the average sample number clearly. This transparency allows other researchers and stakeholders to assess the validity of the findings. If a study claims to have significant results based on a small average sample number, it may raise questions about the reliability of the conclusions. Thus, including the average sample number in reports enhances credibility and fosters trust in the research.In conclusion, the average sample number is a fundamental concept in statistical analysis that plays a vital role in ensuring the accuracy and reliability of research findings. By understanding and applying this term, researchers can optimize their sampling methods, enhance the validity of their conclusions, and effectively communicate their results to the broader community. Whether in scientific studies, market research, or social science inquiries, the average sample number serves as a guiding principle for effective data collection and interpretation.

在统计学领域，理解各种术语对于准确的数据分析和解释至关重要。其中一个在研究和实验中经常出现的术语是平均样本数。平均样本数指的是从总体中抽取的一组样本大小的平均值。它为研究人员提供了一个基准，以评估样本的代表性，并帮助确保从数据中得出的结论是有效和可靠的。进行实验或调查时，研究人员必须决定收集多少样本。这个决定会对结果产生重大影响。如果样本数量太少，数据可能无法准确反映总体，从而导致偏见的结论。相反，收集过多样本可能会耗时且成本高昂，而没有显著增加分析的价值。因此，计算平均样本数对于优化抽样过程至关重要。例如，考虑一个旨在确定某城市成年男性平均身高的研究。研究人员可能选择从不同的社区中抽样。如果他们发现某个社区的身高与其他社区持续不同，他们需要评估他们的平均样本数是否足够。通过分析平均样本数，他们可以调整其抽样策略，以确保更全面地代表整个总体。此外，平均样本数的概念并不限于物理测量。在心理学、市场营销和公共卫生等领域，研究人员依赖这一统计指标来理解不同人群的行为、偏好和趋势。例如，市场研究人员可能通过调查一定数量的个体来分析消费者偏好。平均样本数帮助他们判断所调查的群体是否准确反映了更大的市场。此外，在展示研究结果时，清晰地传达平均样本数是很重要的。这种透明度使其他研究人员和利益相关者能够评估研究结果的有效性。如果一项研究声称其结果显著，但基于较小的平均样本数，这可能会引发对结论可靠性的质疑。因此，在报告中包含平均样本数可以增强可信度，并促进对研究的信任。总之，平均样本数是统计分析中的一个基本概念，在确保研究结果的准确性和可靠性方面发挥着重要作用。通过理解和应用这一术语，研究人员可以优化其抽样方法，增强结论的有效性，并有效地将结果传达给更广泛的社区。无论是在科学研究、市场研究还是社会科学调查中，平均样本数都作为有效数据收集和解释的指导原则。