normal population

简明释义

正态总体

英英释义

A normal population refers to a group of individuals that exhibit typical characteristics or behaviors within a specific context or environment, often used in statistics to represent a standard or baseline for comparison.

正常人群是指在特定环境或背景下表现出典型特征或行为的一组个体,通常在统计学中用于代表比较的标准或基线。

例句

1.The study aimed to compare the test results of the experimental group with those of the normal population 正常人群.

这项研究旨在将实验组的测试结果与正常人群 正常人群的结果进行比较。

2.Health guidelines are often developed using data from the normal population 正常人群.

健康指南通常使用来自正常人群 正常人群的数据进行制定。

3.In psychological studies, it's important to establish a baseline based on the normal population 正常人群.

在心理学研究中,基于正常人群 正常人群建立基线是很重要的。

4.The survey results were adjusted to reflect the characteristics of the normal population 正常人群.

调查结果经过调整,以反映正常人群 正常人群的特征。

5.Researchers found that the drug had a different effect on the normal population 正常人群 compared to those with the condition.

研究人员发现该药物对正常人群 正常人群的影响与患有该病的人不同。

作文

Understanding the concept of a normal population is essential in various fields, especially in statistics and social sciences. In statistics, a normal population refers to a group of individuals or items that follow a normal distribution, which is a bell-shaped curve that represents the distribution of many types of data. This concept is crucial because it allows researchers to make inferences about the entire population based on a sample. For instance, when conducting surveys or experiments, scientists often assume that their sample reflects the characteristics of the normal population they are studying. The properties of a normal population include symmetry around the mean, where most of the data points cluster around the average value, with fewer occurrences as you move away from the mean. This characteristic makes it easier to predict outcomes and understand variations within the data. For example, if we were to analyze the heights of adult men in a certain country, we might find that the heights form a normal population, where most men are around the average height, with fewer men being extremely short or extremely tall.In addition to its statistical significance, understanding a normal population can also have practical implications in everyday life. For instance, when businesses analyze customer behavior, they often look for patterns that fit within a normal population. By identifying the average spending habits of their customers, businesses can tailor their marketing strategies to better meet the needs of the majority, while also considering the outliers who may not fit the typical profile.Moreover, the concept of a normal population extends beyond mere numbers; it can also apply to social phenomena. In sociology, researchers might study the behaviors and attitudes of a normal population within a community to understand trends and make predictions about future behaviors. For example, if a sociologist finds that a majority of people in a city support a particular policy, they may conclude that this policy aligns with the values of the normal population in that area.However, it is important to note that not all populations are normal populations. Many real-world situations involve skewed distributions or outliers that do not fit the typical pattern. In such cases, relying solely on the assumption of a normal population could lead to inaccurate conclusions. Therefore, researchers must always examine their data carefully and consider alternative distributions when necessary.In conclusion, the term normal population plays a pivotal role in understanding data and making informed decisions in various fields. Whether in statistics, business, or sociology, recognizing the characteristics of a normal population helps us interpret data accurately and apply our findings effectively. As we continue to gather and analyze information in an increasingly data-driven world, mastering the concept of a normal population will remain a valuable skill for researchers and practitioners alike.

理解“normal population”这一概念在多个领域中至关重要,尤其是在统计学和社会科学中。在统计学中,“normal population”指的是遵循正态分布的一组个体或项目,这是一种呈钟形曲线的数据分布。这个概念至关重要,因为它允许研究人员根据样本对整个群体进行推断。例如,在进行调查或实验时,科学家通常假设他们的样本反映了他们所研究的“normal population”的特征。“normal population”的性质包括围绕均值的对称性,大多数数据点聚集在平均值附近,而随着远离均值,出现的次数会减少。这一特征使得预测结果和理解数据中的变异变得更加容易。例如,如果我们分析某个国家成年男性的身高,我们可能会发现这些身高形成了一个“normal population”,大多数男性的身高都在平均身高附近,只有极少数男性非常矮小或非常高大。除了统计意义之外,理解“normal population”在日常生活中也有实际意义。例如,当企业分析客户行为时,他们通常寻找符合“normal population”的模式。通过识别客户的平均消费习惯,企业可以调整其营销策略,以更好地满足大多数人的需求,同时考虑那些可能不符合典型特征的极端个体。此外,“normal population”的概念不仅限于数字,它也可以应用于社会现象。在社会学中,研究人员可能会研究社区内“normal population”的行为和态度,以了解趋势并预测未来的行为。例如,如果社会学家发现某城市的大多数人支持某项政策,他们可能会得出结论,该政策与该地区“normal population”的价值观一致。然而,重要的是要注意,并非所有人口都是“normal population”。许多现实情况涉及偏斜分布或不符合典型模式的异常值。在这种情况下,单靠假设为“normal population”可能会导致不准确的结论。因此,研究人员必须始终仔细检查他们的数据,并在必要时考虑替代分布。总之,“normal population”这一术语在理解数据和在各个领域做出明智决策方面起着关键作用。无论是在统计学、商业还是社会学,识别“normal population”的特征有助于我们准确解释数据并有效应用我们的发现。随着我们在一个日益数据驱动的世界中继续收集和分析信息,掌握“normal population”的概念将仍然是研究人员和从业者的重要技能。

相关单词

population

population详解:怎么读、什么意思、用法