typical value

简明释义

代表值

英英释义

A typical value refers to a representative or average number that reflects the general characteristics of a data set or population.

典型值是指反映数据集或总体一般特征的代表性或平均数值。

例句

1.The typical value for a college graduate's starting salary in this field is $50,000.

在这个领域,大学毕业生起薪的典型值是50,000美元。

2.The typical value of a household's monthly electricity bill is around $150.

一个家庭每月电费的典型值大约是150美元。

3.In this study, the typical value for blood pressure among adults was found to be 120/80 mmHg.

在这项研究中,成年人血压的典型值被发现为120/80 mmHg。

4.For this type of vehicle, the typical value for fuel efficiency is about 25 miles per gallon.

对于这种类型的车辆,燃油效率的典型值大约是每加仑25英里。

5.The typical value of a smartphone's battery life is approximately 10 hours on a full charge.

智能手机电池续航的典型值大约是满电10小时。

作文

In the realm of statistics and data analysis, the term typical value (典型值) plays a crucial role in summarizing and interpreting data sets. A typical value is essentially a representative figure that captures the essence of a dataset, allowing analysts to convey key insights without overwhelming their audience with excessive information. This concept is fundamental in various fields, including economics, psychology, and natural sciences, where understanding the central tendency of data is vital.To illustrate this concept, consider a classroom of students taking a mathematics exam. The scores of the students may vary significantly, with some achieving high marks while others struggle to pass. In this scenario, the typical value can be represented by the average score of the class. This average provides a snapshot of the overall performance, indicating whether the majority of students are grasping the material or if there are widespread difficulties. However, it is essential to recognize that the average may not always represent the entire picture, especially in cases where there are outliers or extreme values that can skew the results.In addition to the mean, other measures of typical value include the median and mode. The median, which is the middle value when all scores are arranged in order, can often provide a more accurate representation of a dataset, particularly when dealing with skewed distributions. For instance, if a few students score exceptionally low on the exam, the median score would likely be higher than the average, reflecting a more accurate depiction of the typical performance among the majority of students. On the other hand, the mode, which is the most frequently occurring score, can also offer valuable insights, especially in identifying common outcomes within a dataset.Understanding typical value (典型值) is not only crucial for academic purposes but also has practical applications in everyday life. For example, when analyzing household incomes within a neighborhood, the typical value can help policymakers determine the economic status of the area. By identifying the average or median income, officials can make informed decisions regarding resource allocation, social services, and community development initiatives. Moreover, the concept of typical value extends beyond mere numbers; it encapsulates the idea of normalcy within a given context. In healthcare, for instance, doctors often refer to typical values when interpreting lab results. A patient's cholesterol level may be compared to established typical values to assess their health status. These benchmarks serve as reference points, guiding medical professionals in diagnosing conditions and recommending treatments.In conclusion, the term typical value (典型值) is a powerful tool in the analysis and interpretation of data. It allows us to distill complex information into understandable metrics that can guide decision-making across various fields. Whether in education, economics, healthcare, or everyday life, recognizing and utilizing typical values enables us to gain insights into patterns and trends, ultimately leading to more informed choices and actions. As we continue to navigate an increasingly data-driven world, mastering the concept of typical value will be essential for effective communication and understanding of the information that surrounds us.

在统计学和数据分析领域,术语典型值typical value)在总结和解释数据集方面发挥着至关重要的作用。典型值本质上是一个代表性数字,它捕捉了数据集的本质,使分析师能够传达关键见解,而不会让观众被过多的信息淹没。这个概念在经济学、心理学和自然科学等多个领域中都是基础,因为理解数据的集中趋势至关重要。为了说明这一概念,考虑一下一个学生在数学考试中的课堂。学生的分数可能会有很大差异,有些人取得了高分,而其他人则难以及格。在这种情况下,典型值可以用班级的平均分数来表示。这个平均数提供了整体表现的快照,表明大多数学生是否掌握了材料,或者是否存在普遍的困难。然而,必须认识到,平均数并不总能代表整个画面,特别是在存在极端值或离群值的情况下,这些值可能会扭曲结果。除了均值,其他的典型值度量还包括中位数和众数。中位数是指当所有分数按顺序排列时的中间值,在处理偏态分布时,通常能提供更准确的数据表示。例如,如果有几个学生在考试中得分异常低,那么中位数可能会高于平均数,反映出大多数学生的典型表现。另一方面,众数是出现频率最高的分数,也能提供有价值的见解,尤其是在识别数据集中的常见结果时。理解典型值typical value)不仅对学术目的至关重要,而且在日常生活中也具有实际应用。例如,当分析某个社区的家庭收入时,典型值可以帮助政策制定者确定该地区的经济状况。通过识别平均或中位收入,官员们可以就资源分配、社会服务和社区发展计划做出明智的决策。此外,典型值的概念超越了单纯的数字;它包涵了在特定背景下正常性的概念。在医疗保健中,医生在解释实验室结果时通常会参考典型值。患者的胆固醇水平可能与既定的典型值进行比较,以评估他们的健康状态。这些基准作为参考点,指导医疗专业人员诊断疾病和推荐治疗方案。总之,术语典型值typical value)是分析和解释数据的强大工具。它使我们能够将复杂信息提炼为可理解的指标,从而指导各个领域的决策。无论是在教育、经济、医疗保健还是日常生活中,识别和利用典型值使我们能够深入了解模式和趋势,最终导致更明智的选择和行动。随着我们继续在一个日益数据驱动的世界中航行,掌握典型值的概念对于有效沟通和理解我们周围的信息将是至关重要的。