customary average

简明释义

照常规办理单独海损免赔额

英英释义

例句

1.While reviewing the budget, we noticed that expenses were rising above the customary average 习惯平均水平 for the past three years.

在审查预算时，我们注意到费用已超过过去三年的习惯平均水平。

2.The athlete's performance exceeded the customary average 习惯平均水平 for his age group, making him a strong contender for the championship.

这位运动员的表现超过了他年龄组的习惯平均水平，使他成为冠军的有力竞争者。

3.The company's sales this quarter were below the customary average 习惯平均水平, prompting a review of marketing strategies.

本季度公司的销售额低于习惯平均水平，这促使我们重新审视市场营销策略。

4.In our analysis, we found that the temperature this summer was higher than the customary average 习惯平均水平 for previous years.

在我们的分析中，我们发现今年夏天的温度高于以往的习惯平均水平。

5.The teacher explained that the students' test scores were around the customary average 习惯平均水平, indicating a consistent level of understanding.

老师解释说，学生们的考试成绩大致在习惯平均水平附近，这表明理解水平保持一致。

作文

In today’s fast-paced world, understanding various statistical concepts is essential for making informed decisions. One such concept is the customary average, which refers to the typical or standard average that people often use in everyday calculations and comparisons. This term is particularly significant in fields such as economics, education, and health, where averages can influence policies and personal choices. To illustrate the importance of the customary average, let’s consider a simple example: the average score of students in a class. If a teacher wants to assess the overall performance of the class, they might calculate the customary average of all the students' scores on a recent test. This average provides a quick snapshot of how well the students performed collectively, allowing the teacher to identify whether the class is grasping the material or if there are areas that need further attention.However, it is crucial to recognize that the customary average can sometimes be misleading. For instance, if a few students score exceptionally high while others fail, the average might suggest that the class performed well overall, despite the significant disparity in individual scores. This phenomenon is known as the 'average fallacy,' where the customary average does not accurately represent the underlying data.Moreover, the customary average can vary depending on the context in which it is used. In different cultures or industries, what is considered an average may differ. For example, in economic terms, the customary average income might vary significantly between countries due to differing living costs and economic conditions. Understanding these nuances is critical for interpreting data correctly and making sound decisions based on averages.In addition to its application in education and economics, the customary average plays a vital role in health statistics. Public health officials often rely on averages to determine the health status of populations. For instance, the average body mass index (BMI) can help identify trends in obesity rates across different demographics. However, like in other examples, relying solely on the customary average can obscure important details, such as the distribution of BMI within the population. Therefore, while the customary average is a useful tool for summarizing data, it should not be the only metric considered when analyzing information. It is essential to look at other statistical measures, such as median and mode, as well as the range and standard deviation, to gain a more comprehensive understanding of the data. By doing so, individuals can avoid the pitfalls associated with a narrow focus on averages and make better-informed decisions.In conclusion, the customary average serves as a fundamental concept in various fields, providing a baseline for comparison and analysis. However, it is imperative to approach it with caution, recognizing its limitations and the potential for misinterpretation. By combining the customary average with other statistical tools, we can achieve a more nuanced understanding of data and make more effective decisions in our personal and professional lives.

在当今快节奏的世界中，理解各种统计概念对于做出明智的决策至关重要。其中一个概念是习惯性平均数，指的是人们在日常计算和比较中经常使用的典型或标准平均数。这个术语在经济学、教育和健康等领域尤为重要，因为平均数可能影响政策和个人选择。为了说明习惯性平均数的重要性，让我们考虑一个简单的例子：班级学生的平均分。如果一位老师想要评估班级的整体表现，他们可能会计算最近一次测试中所有学生分数的习惯性平均数。这个平均数提供了一个快速的快照，显示学生们的集体表现如何，使老师能够识别班级是否掌握了材料，或者是否有需要进一步关注的领域。然而，必须认识到，习惯性平均数有时可能会产生误导。例如，如果一些学生得分异常高，而其他学生不及格，平均数可能会暗示班级整体表现良好，尽管个体分数之间存在显著差异。这种现象被称为“平均谬误”，即习惯性平均数并不能准确代表基础数据。此外，习惯性平均数的使用背景不同，可能会有所变化。在不同的文化或行业中，被认为是平均数的标准可能会有所不同。例如，在经济学中，习惯性平均数收入可能因国家间生活成本和经济条件的不同而显著不同。了解这些细微差别对于正确解读数据和根据平均数做出明智决策至关重要。除了在教育和经济中的应用外，习惯性平均数在健康统计中也发挥着重要作用。公共卫生官员通常依赖平均数来确定人群的健康状况。例如，平均身体质量指数（BMI）可以帮助识别不同人口统计学中肥胖率的趋势。然而，与其他例子一样，仅依赖于习惯性平均数可能会掩盖重要细节，例如人群中BMI的分布。因此，尽管习惯性平均数是总结数据的有用工具，但在分析信息时不应仅依赖它。查看其他统计指标，如中位数和众数，以及范围和标准差，对于更全面地理解数据至关重要。通过这样做，个人可以避免将焦点过于狭隘地放在平均数上，从而做出更好的决策。总之，习惯性平均数作为各个领域的基本概念，为比较和分析提供了基线。然而，必须谨慎对待这一概念，认识到其局限性和潜在的误解。通过将习惯性平均数与其他统计工具结合使用，我们可以实现对数据的更细致理解，并在个人和职业生活中做出更有效的决策。