distribution density

简明释义

分布密度

英英释义

例句

1.In statistics, the distribution density function helps us visualize data trends.

在统计学中，分布密度函数帮助我们可视化数据趋势。

2.To understand traffic flow, we need to analyze the distribution density of vehicles on major roads.

为了理解交通流量，我们需要分析主要道路上车辆的分布密度。

3.The distribution density of trees in the forest varies by species and location.

森林中树木的分布密度因物种和位置而异。

4.The distribution density of the population in urban areas is much higher than in rural regions.

城市地区的人口分布密度远高于农村地区。

5.The distribution density of resources in the ecosystem can affect species survival.

生态系统中资源的分布密度会影响物种的生存。

作文

In the study of statistics and probability, the concept of distribution density plays a crucial role in understanding how values are spread across a given range. The distribution density (分布密度) refers to the relative likelihood of a random variable taking on a particular value. This concept is often visualized using graphs, where the area under the curve represents the probability of the variable falling within a specific range. For instance, in a normal distribution, the highest point of the curve indicates the mean, and as you move away from this point, the distribution density decreases, illustrating that values further from the mean are less likely to occur.Understanding distribution density (分布密度) is essential for various applications, including economics, biology, and engineering. In economics, it can help analysts determine consumer behavior and market trends by examining how different factors influence purchasing decisions. For example, if we analyze the income distribution of a population, we can see how wealth is concentrated among different groups. The distribution density allows us to visualize this concentration and make informed predictions about economic policies or market changes.In biology, the concept of distribution density (分布密度) is used to study populations of organisms. Ecologists often measure the distribution density of a species in a given habitat to understand its abundance and distribution patterns. By analyzing these patterns, researchers can gain insights into the health of ecosystems and the impacts of environmental changes. For instance, if a certain species shows a high distribution density, it may indicate a thriving population, while a low distribution density could suggest declining numbers due to habitat loss or other factors.Moreover, in engineering, distribution density (分布密度) is crucial for quality control processes. Engineers often use statistical methods to monitor production processes and ensure that products meet specified standards. By analyzing the distribution density of measurements taken from a production line, they can identify variations that may indicate problems in manufacturing. This proactive approach helps maintain product quality and minimizes waste, ultimately leading to better customer satisfaction.In conclusion, the concept of distribution density (分布密度) is fundamental across various fields, providing valuable insights into the behavior and characteristics of data. Whether in economics, biology, or engineering, understanding how values are distributed allows professionals to make informed decisions based on statistical analysis. As we continue to collect and analyze data in an increasingly complex world, mastering the concept of distribution density will be essential for anyone seeking to understand and interpret the information around them.