distribution diagram

简明释义

阀动图

英英释义

例句

1.The distribution diagram clearly indicated the areas with the highest population density.

该分布图清楚地指示了人口密度最高的地区。

2.The engineer presented a distribution diagram to illustrate the load distribution across the bridge.

工程师展示了一个分布图，以说明桥梁上的荷载分布。

3.Using a distribution diagram, the scientist explained the variability in the data set.

科学家使用分布图解释了数据集中的变异性。

4.In the meeting, we reviewed the distribution diagram to understand customer demographics.

在会议中，我们审查了分布图以了解客户的人口统计信息。

5.The distribution diagram showed a normal distribution of test scores among students.

该分布图显示学生测试分数的正态分布。

作文

In the field of statistics and data analysis, a clear understanding of various concepts is crucial for interpreting data accurately. One such important concept is the distribution diagram, which visually represents the distribution of a dataset. A distribution diagram is essentially a graphical representation that shows how data points are spread across different values or categories. This can help researchers, analysts, and students to grasp the underlying patterns in the data more effectively.For instance, consider a scenario where a teacher wants to analyze the test scores of her students. By creating a distribution diagram, she can see whether the scores are clustered around a particular value, or if they are widely dispersed. This visual tool allows her to quickly identify trends, such as whether most students scored above or below average. It also helps in recognizing outliers—scores that significantly differ from the rest of the data.There are various types of distribution diagrams including histograms, box plots, and scatter plots. Each type serves a different purpose and can provide unique insights into the data being analyzed. For example, a histogram displays the frequency of data points within specified ranges, making it easy to see how many students fall into different score brackets. On the other hand, a box plot provides a summary of the dataset's central tendency and variability, highlighting the median, quartiles, and potential outliers.The importance of a distribution diagram cannot be overstated. In scientific research, for instance, understanding the distribution of experimental results can lead to more accurate conclusions. If researchers notice that their data follows a normal distribution, they can apply certain statistical techniques that assume this distribution. Conversely, if the data is skewed, it may require different analytical approaches.Moreover, in business settings, companies often use distribution diagrams to analyze sales data, customer demographics, and market trends. By visualizing the distribution of sales across different regions, a company can identify which areas are performing well and which ones need improvement. This insight can inform marketing strategies and resource allocation, ultimately leading to better business decisions.In conclusion, a distribution diagram is a powerful tool in data analysis that provides a visual representation of how data is distributed across various values. Whether in education, research, or business, understanding how to create and interpret these diagrams can greatly enhance one's ability to make informed decisions based on data. As we continue to live in an increasingly data-driven world, mastering the use of distribution diagrams will be essential for anyone looking to succeed in fields that rely on quantitative analysis.

在统计学和数据分析领域，清晰理解各种概念对于准确解读数据至关重要。其中一个重要的概念是分布图，它以可视化的方式表示数据集的分布。分布图本质上是一个图形表示，展示了数据点在不同值或类别中的分布情况。这可以帮助研究人员、分析师和学生更有效地掌握数据中的潜在模式。例如，考虑一个场景，一位老师想要分析她学生的考试成绩。通过创建一个分布图，她可以看到分数是否聚集在某个特定值周围，或者是否广泛分散。这个可视化工具使她能够快速识别趋势，例如大多数学生的得分是在平均水平以上还是以下。它还帮助识别离群值——与其他数据显著不同的分数。有多种类型的分布图，包括直方图、箱线图和散点图。每种类型都有不同的用途，可以为所分析的数据提供独特的见解。例如，直方图显示在指定范围内的数据点频率，使人们能够轻松看到有多少学生落入不同的分数区间。另一方面，箱线图提供了数据集的集中趋势和变异性的摘要，突出显示中位数、四分位数和潜在的离群值。分布图的重要性不容小觑。在科学研究中，理解实验结果的分布可以得出更准确的结论。如果研究人员注意到他们的数据遵循正态分布，他们可以应用某些假设该分布的统计技术。相反，如果数据偏斜，可能需要不同的分析方法。此外，在商业环境中，公司通常使用分布图来分析销售数据、客户人口统计和市场趋势。通过可视化不同地区的销售分布，公司可以识别哪些地区表现良好，哪些地区需要改进。这一洞察可以为营销策略和资源分配提供信息，最终导致更好的商业决策。总之，分布图是数据分析中一个强大的工具，它提供了数据在各个值之间分布的可视化表示。无论是在教育、研究还是商业中，理解如何创建和解释这些图表可以大大增强一个人基于数据做出明智决定的能力。随着我们继续生活在一个日益数据驱动的世界中，掌握使用分布图将对任何希望在依赖定量分析的领域取得成功的人至关重要。