representative value

简明释义

代表值

英英释义

例句

1.The standard deviation can help identify if the mean is a good representative value for the dataset.

标准差可以帮助识别均值是否是数据集的一个良好的代表性数值。

2.For this experiment, we need to find a representative value that accurately reflects the sample data.

在这个实验中，我们需要找到一个准确反映样本数据的代表性数值。

3.In this survey, the average score is considered a representative value for the entire population's opinion.

在这项调查中，平均分被视为整个群体意见的代表性数值。

4.When analyzing customer feedback, the most common rating serves as a representative value of overall satisfaction.

在分析客户反馈时，最常见的评分作为整体满意度的代表性数值。

5.The median income is often used as a representative value to assess the economic status of a community.

中位收入常被用作评估一个社区经济状况的代表性数值。

作文

In the realm of statistics and data analysis, the concept of representative value plays a crucial role in understanding and interpreting data sets. A representative value is a single value that aims to accurately reflect the characteristics of a larger group or population. It is essential for summarizing complex data into a more digestible form, allowing researchers, analysts, and decision-makers to draw meaningful conclusions from their findings.To illustrate this idea, consider a classroom of students who have taken a math test. The scores range from 50 to 100, with some students performing exceptionally well while others struggle. If we were to analyze this data, simply looking at the highest and lowest scores would not provide a clear picture of how the class as a whole performed. Instead, calculating the average score would yield a representative value that summarizes the overall performance of the students. This average score gives us a snapshot of the class's academic standing, which can be useful for identifying trends, such as whether the teaching methods are effective or if additional support is needed for struggling students.Another common example of a representative value is the median. The median is particularly useful in situations where data may be skewed by outliers. For instance, if one student scored 10 points lower than everyone else due to illness, the average score might not accurately represent the majority of the class. However, the median, which is the middle score when all scores are arranged in order, can provide a more accurate representative value of the central tendency of the data.Moreover, in various fields such as economics, psychology, and social sciences, representative values are used to inform policies and practices. For example, when assessing the average income of a population, policymakers often rely on the mean income as a representative value. However, they must also consider factors such as income distribution and inequality, which might necessitate the use of other measures like the mode or median to provide a fuller picture of the economic landscape.In addition to its application in quantitative analysis, the idea of representative value extends to qualitative research as well. Researchers often seek to find themes or patterns within qualitative data that can serve as representative values for larger groups. For instance, in a study about customer satisfaction, identifying common feedback themes can help businesses understand the overall sentiment of their clientele, even if individual experiences vary widely.In conclusion, the notion of representative value is fundamental to data analysis across diverse disciplines. It simplifies complex information into understandable metrics that facilitate informed decision-making. By utilizing representative values, we can better comprehend the intricacies of data and ensure that our conclusions are based on a fair representation of the underlying population. Understanding and applying representative values effectively can lead to more accurate interpretations and ultimately drive positive outcomes in research, policy, and practice.

在统计学和数据分析领域，代表性值的概念在理解和解释数据集方面发挥着至关重要的作用。代表性值是一个单一的数值，旨在准确反映更大群体或总体的特征。它对于将复杂数据总结成更易于理解的形式至关重要，使研究人员、分析师和决策者能够从他们的发现中得出有意义的结论。为了说明这个想法，考虑一个参加数学测试的学生班级。分数范围从50到100，一些学生表现非常出色，而另一些则苦苦挣扎。如果我们要分析这些数据，仅仅查看最高和最低分数并不能清楚地显示整个班级的表现。相反，计算平均分数将产生一个代表性值，总结学生的整体表现。这个平均分数为我们提供了班级学术水平的快照，这对识别趋势非常有用，例如教学方法是否有效，或者是否需要为挣扎的学生提供额外支持。另一个常见的代表性值是中位数。在数据可能受到异常值影响的情况下，中位数特别有用。例如，如果有一名学生因生病而比其他人低10分，那么平均分数可能无法准确代表班级的大多数人。然而，中位数，即当所有分数按顺序排列时的中间分数，可以提供更准确的代表性值，反映数据的集中趋势。此外，在经济学、心理学和社会科学等各个领域，代表性值被用于为政策和实践提供信息。例如，在评估一个人口的平均收入时，政策制定者通常依赖于平均收入作为代表性值。然而，他们还必须考虑收入分布和不平等等因素，这可能需要使用其他衡量标准，如众数或中位数，以提供经济格局的更全面的图景。除了在定量分析中的应用，代表性值的概念也扩展到定性研究中。研究人员通常寻求在定性数据中找到主题或模式，这些主题或模式可以作为更大群体的代表性值。例如，在一项关于客户满意度的研究中，识别常见反馈主题可以帮助企业理解其客户的整体情绪，即使个人经历差异很大。总之，代表性值的概念是各个学科数据分析的基础。它将复杂信息简化为可理解的指标，促进明智的决策。通过利用代表性值，我们可以更好地理解数据的复杂性，并确保我们的结论基于对基础总体的公平代表。有效理解和应用代表性值可以导致更准确的解释，并最终推动研究、政策和实践中的积极成果。