average sample

简明释义

平均试样

英英释义

例句

1.The average sample size was calculated to ensure it was representative of the whole group.

计算了平均样本的大小，以确保它能代表整个群体。

2.In this experiment, the average sample represented the typical behavior of the population.

在这个实验中，平均样本代表了人群的典型行为。

3.We found that the average sample showed a significant improvement over previous years.

我们发现平均样本显示出比前几年有显著改善。

4.To ensure accuracy, we need to collect an average sample from different locations.

为了确保准确性，我们需要从不同地点收集一个平均样本。

5.The research team analyzed the average sample to determine the overall trends in the data.

研究小组分析了平均样本以确定数据中的整体趋势。

作文

In the field of statistics, the concept of an average sample plays a crucial role in data analysis and interpretation. An average sample refers to a subset of data that is representative of a larger population, allowing researchers to draw conclusions about that population without examining every single member. This idea is fundamental in various fields such as psychology, sociology, and market research, where understanding trends and behaviors is essential.To illustrate the importance of an average sample, let’s consider a scenario in market research. Suppose a company wants to launch a new product and needs to understand consumer preferences. Instead of surveying every potential customer, which would be time-consuming and costly, the researchers can select an average sample from their target demographic. By carefully choosing participants that reflect the diversity of the larger group, they can gather insights that are likely to represent the opinions of the entire population.The process of selecting an average sample involves several steps, including defining the population, determining the sample size, and employing random sampling techniques. For instance, if a researcher is studying the eating habits of teenagers in a particular city, they must first define who qualifies as a teenager and then decide how many individuals to include in the study. A well-chosen average sample will help ensure that the results are valid and applicable to the broader group.Moreover, an average sample can also help in minimizing biases that may arise from convenience sampling. Convenience sampling occurs when researchers select participants who are easiest to reach, which can lead to skewed results. In contrast, a carefully selected average sample aims to reflect the true characteristics of the population, thereby enhancing the reliability of the findings.Once the data is collected from the average sample, researchers analyze it to identify trends, patterns, and correlations. Statistical methods such as mean, median, and mode are often employed to summarize the data effectively. For example, if the average age of respondents in an average sample is significantly lower than the average age of the entire population, this could indicate a trend that the company needs to address before launching their product.In conclusion, the concept of an average sample is pivotal in research methodologies across various disciplines. It allows researchers to make informed decisions based on a manageable amount of data while still accurately representing the larger population. Understanding how to select and analyze an average sample can significantly enhance the quality of research outcomes. Therefore, mastering the principles behind average samples is essential for anyone involved in data analysis or research, ensuring that their conclusions are both valid and reliable.

在统计学领域，平均样本的概念在数据分析和解释中扮演着至关重要的角色。平均样本指的是一个代表更大群体的数据子集，使研究人员能够在不检查每一个成员的情况下得出关于该群体的结论。这个理念在心理学、社会学和市场研究等多个领域中是基础性的，因为理解趋势和行为至关重要。为了说明平均样本的重要性，让我们考虑一个市场研究的场景。假设一家公司想要推出一款新产品，并需要了解消费者的偏好。与其调查每一个潜在客户，这将耗时且成本高昂，研究人员可以从目标人群中选择一个平均样本。通过仔细选择反映更大群体多样性的参与者，他们可以收集到可能代表整个群体意见的见解。选择平均样本的过程涉及几个步骤，包括定义人群、确定样本大小和采用随机抽样技术。例如，如果研究人员正在研究某个城市青少年的饮食习惯，他们必须首先定义什么算作青少年，然后决定要在研究中包括多少人。一个精心选择的平均样本将有助于确保结果的有效性和适用性。此外，平均样本还可以帮助最小化便利抽样可能引发的偏差。便利抽样发生在研究人员选择最容易接触到的参与者时，这可能导致结果的偏差。相反，一个经过仔细选择的平均样本旨在反映群体的真实特征，从而增强研究结果的可靠性。一旦从平均样本中收集到数据，研究人员会分析这些数据以识别趋势、模式和相关性。通常使用均值、中位数和众数等统计方法来有效总结数据。例如，如果平均样本中受访者的平均年龄明显低于整个群体的平均年龄，这可能表明公司在推出产品之前需要解决的一个趋势。总之，平均样本的概念在各个学科的研究方法中至关重要。它使研究人员能够基于可管理的数据量做出明智的决策，同时准确代表更大的群体。理解如何选择和分析平均样本可以显著提高研究结果的质量。因此，掌握平均样本背后的原则对于任何参与数据分析或研究的人来说都是必不可少的，确保他们的结论既有效又可靠。