average sample

简明释义

1. 平均试样; 2. 平均抽样; 3. 平均取样;

英英释义

例句

1.The average sample size was determined based on previous studies.

根据之前的研究，确定了平均样本的大小。

2.The researcher collected an average sample from the population to analyze the data.

研究者从人群中收集了一个平均样本以分析数据。

3.To ensure accuracy, we need to take an average sample from different locations.

为了确保准确性，我们需要从不同地点取一个平均样本。

4.The average sample showed a significant increase in performance over the last year.

该平均样本显示出过去一年表现显著提升。

5.In this study, we used an average sample to represent the overall trends.

在这项研究中，我们使用了一个平均样本来代表整体趋势。

作文

In the field of statistics and research, the concept of an average sample is crucial for understanding data trends and making informed decisions. An average sample refers to a subset of data that represents a larger population, allowing researchers to draw conclusions without needing to analyze every single data point. This method is both time-efficient and cost-effective, making it a popular choice among statisticians and analysts alike. To illustrate the importance of an average sample, let's consider a scenario in which a company wants to assess customer satisfaction regarding their product. Instead of surveying every customer, which could be impractical and expensive, the company can select a representative group of customers to survey. This group, known as the average sample, should reflect the diversity of the entire customer base in terms of demographics, purchase history, and usage patterns. By analyzing the feedback from this average sample, the company can gain insights into overall customer satisfaction and identify areas for improvement. The selection process for an average sample is critical to ensuring that the results are valid and reliable. Statisticians often use random sampling techniques to minimize bias and ensure that every individual in the population has an equal chance of being selected. This randomness helps to create an average sample that accurately mirrors the larger group, thus enhancing the credibility of the findings. Once the average sample is collected, researchers can apply various statistical methods to analyze the data. For example, they may calculate the mean, median, and mode to summarize the central tendency of the responses. Additionally, they can assess the variability within the average sample to understand how much the individual responses differ from one another. These analyses provide a comprehensive view of the data, enabling researchers to make well-informed conclusions. However, it is essential to recognize the limitations of using an average sample. While it can provide valuable insights, it may not capture all the nuances of the larger population. For instance, if the average sample is not carefully selected, it may overlook certain subgroups that have unique perspectives or needs. Therefore, researchers must approach their findings with caution and consider conducting further studies if necessary. In conclusion, the use of an average sample is a fundamental aspect of statistical analysis that allows researchers to draw meaningful conclusions from a manageable amount of data. By selecting a representative group and applying appropriate analytical techniques, researchers can gain insights into broader trends and make informed decisions. However, it is crucial to be aware of the potential limitations of an average sample and to complement it with additional research when needed. Ultimately, the goal is to achieve a deeper understanding of the population being studied, leading to better outcomes in various fields such as business, healthcare, and social sciences.

在统计和研究领域，平均样本的概念对于理解数据趋势和做出明智决策至关重要。平均样本指的是一个代表更大人群的数据子集，使研究人员能够在不需要分析每一个数据点的情况下得出结论。这种方法既节省时间又节省成本，因此在统计学家和分析师中广受欢迎。为了说明平均样本的重要性，让我们考虑一个场景：一家公司希望评估客户对其产品的满意度。与其调查每位客户，这可能既不切实际又昂贵，公司可以选择一个具有代表性的客户群进行调查。这个群体被称为平均样本，它应该在年龄、性别、购买历史和使用模式等方面反映整个客户基础的多样性。通过分析这个平均样本的反馈，公司可以获得整体客户满意度的见解，并识别需要改进的领域。选择平均样本的过程对于确保结果的有效性和可靠性至关重要。统计学家通常使用随机抽样技术来最小化偏差，确保人群中的每个个体都有相等的机会被选中。这种随机性有助于创建一个准确反映更大群体的平均样本，从而增强研究结果的可信度。一旦收集了平均样本，研究人员可以应用各种统计方法来分析数据。例如，他们可能会计算均值、中位数和众数，以总结响应的集中趋势。此外，他们还可以评估平均样本内的变异性，以了解个体响应之间的差异程度。这些分析提供了对数据的全面视角，使研究人员能够做出明智的结论。然而，必须认识到使用平均样本的局限性。虽然它可以提供有价值的见解，但可能无法捕捉到更大人群的所有细微差别。例如，如果平均样本没有经过仔细选择，它可能会忽视某些具有独特观点或需求的子群体。因此，研究人员必须谨慎对待他们的发现，并在必要时考虑进行进一步的研究。总之，使用平均样本是统计分析的基本方面，使研究人员能够从可管理的数据量中得出有意义的结论。通过选择具有代表性的群体并应用适当的分析技术，研究人员可以获得更广泛趋势的见解，并做出明智的决策。然而，必须意识到平均样本的潜在局限性，并在需要时用额外的研究来补充。最终目标是深入理解所研究的人群，从而在商业、医疗保健和社会科学等各个领域获得更好的结果。