average sample

简明释义

平均试样

英英释义

例句

1.The average sample taken from the population showed a significant trend over time.

从人群中提取的平均样本显示出随着时间的显著趋势。

2.The researcher collected an average sample of participants to ensure diverse representation.

研究人员收集了一个平均样本的参与者，以确保多样化的代表性。

3.In this study, we used an average sample size of 100 to draw our conclusions.

在这项研究中，我们使用了一个平均样本大小为100来得出结论。

4.We calculated the mean from the average sample to better understand the results.

我们从平均样本中计算了均值，以更好地理解结果。

5.To analyze the data effectively, we need to consider the average sample from each group.

为了有效分析数据，我们需要考虑每个组的平均样本。

作文

In the field of statistics, understanding the concept of an average sample is crucial for analyzing data effectively. An average sample, or 'mean', represents a central value of a set of numbers, providing a summary measure that can be used to understand the overall trend within a dataset. For instance, if we collect the heights of students in a classroom, calculating the average sample height gives us an insight into the general height of students in that particular group.To calculate the average sample, one must first sum all the values in the dataset and then divide this sum by the total number of observations. This mathematical process allows researchers to derive a single value that reflects the characteristics of the entire dataset. It is important to note that while the average sample can provide useful information, it may not always represent every individual in the group accurately, especially if there are outliers present.For example, consider a scenario where we have the following ages of individuals: 20, 22, 21, 19, and 100. If we calculate the average sample age, we would add these numbers together to get 182, and then divide by 5, resulting in an average sample age of 36.4. However, this value does not accurately reflect the ages of most individuals in the group due to the presence of the outlier (the age 100). Thus, while the average sample is a valuable statistic, it is essential to consider other measures such as the median or mode to gain a more comprehensive understanding of the data.Moreover, the average sample is widely used in various fields, including economics, healthcare, and social sciences. In economics, for example, the average sample income of a population can indicate the overall economic health of a region. Similarly, in healthcare, calculating the average sample blood pressure of patients can help medical professionals assess the general health trends within a community.In educational research, the average sample can also play a significant role. Educators often analyze test scores to determine the average sample performance of students. This information can help identify areas where students may be struggling and inform teaching strategies to improve learning outcomes.In conclusion, the concept of an average sample is fundamental in statistical analysis and data interpretation. While it provides a quick snapshot of a dataset, it is vital to approach the average sample with caution, considering the context and potential outliers. By understanding how to calculate and interpret the average sample, individuals and researchers can make informed decisions based on data-driven insights. As we continue to navigate a world increasingly reliant on data, mastering the use of the average sample will remain an essential skill for effective analysis and interpretation of information.

在统计学领域，理解“平均样本”的概念对于有效分析数据至关重要。“平均样本”，或称“均值”，代表一组数字的中心值，提供一个总结性度量，可以用来理解数据集中的整体趋势。例如，如果我们收集一个教室中学生的身高，计算出“平均样本”身高可以让我们了解到这个特定群体学生的总体身高。要计算“平均样本”，首先必须将数据集中所有值相加，然后将此总和除以观察值的总数。这个数学过程使研究人员能够得出一个反映整个数据集特征的单一值。需要注意的是，尽管“平均样本”可以提供有用的信息，但它可能并不总是准确地代表组中的每一个个体，尤其是在存在离群值的情况下。例如，考虑一个场景，我们有以下个体的年龄：20、22、21、19和100。如果我们计算“平均样本”年龄，我们将这些数字相加得到182，然后除以5，结果是36.4岁的“平均样本”年龄。然而，由于存在离群值（年龄100），这个值并不能准确反映大多数个体的年龄。因此，虽然“平均样本”是一个有价值的统计数据，但考虑中位数或众数等其他度量以更全面地理解数据是至关重要的。此外，“平均样本”在经济学、医疗保健和社会科学等多个领域广泛应用。例如，在经济学中，一个地区人口的“平均样本”收入可以指示该地区的整体经济健康状况。同样，在医疗保健中，计算患者的“平均样本”血压可以帮助医疗专业人员评估社区内的健康趋势。在教育研究中，“平均样本”也可以发挥重要作用。教育工作者经常分析考试成绩以确定学生的“平均样本”表现。这些信息可以帮助识别学生可能面临的困难领域，并通知教学策略以改善学习成果。总之，“平均样本”的概念在统计分析和数据解释中是基础性的。虽然它提供了数据集的快速快照，但重要的是谨慎对待“平均样本”，考虑上下文和潜在的离群值。通过了解如何计算和解释“平均样本”，个人和研究人员可以基于数据驱动的洞察做出明智的决策。随着我们继续在一个越来越依赖数据的世界中航行，掌握“平均样本”的使用将仍然是有效分析和解释信息的重要技能。