statistical average; statistical averaging

简明释义

统计平均数，统计平均值

英英释义

例句

1.The statistical average 统计平均数 of temperatures over the year helps predict climate patterns.

全年温度的统计平均数 statistical average 有助于预测气候模式。

2.In economics, the statistical averaging 统计平均 of income can provide insights into wealth distribution.

在经济学中，收入的统计平均 statistical averaging 可以提供关于财富分配的见解。

3.To assess the company's performance, we calculated the statistical average 统计平均数 of sales over the last five years.

为了评估公司的表现，我们计算了过去五年的销售额的统计平均数 statistical average。

4.Using statistical averaging 统计平均, we found that the average age of our customers is 30.

通过使用统计平均 statistical averaging，我们发现客户的平均年龄是30岁。

5.The teacher explained that the class's performance was measured using the statistical average 统计平均数 of their test scores.

老师解释说，班级的表现是通过他们考试成绩的统计平均数 statistical average 来衡量的。

作文

In today's data-driven world, understanding concepts such as statistical average is crucial for interpreting information accurately. The statistical average, often referred to simply as the average, is a measure that summarizes a set of numbers by finding a central value. This concept is fundamental in various fields, including economics, sociology, and health sciences, where data analysis plays a pivotal role in decision-making processes.To illustrate the importance of the statistical average, consider a classroom scenario where a teacher wants to evaluate the performance of her students on a recent exam. By calculating the statistical average of the scores, she can determine how well the class performed overall. If the average score is significantly lower than expected, it may indicate that the teaching methods need adjustment or that the exam was too challenging.Moreover, the process of statistical averaging involves more than just adding numbers and dividing by the count. It requires a careful consideration of the data set's characteristics, including outliers that may skew the results. For instance, if one student scored exceptionally low due to external factors, this could disproportionately affect the average. Therefore, educators often look at other measures of central tendency, such as the median, to gain a more comprehensive understanding of student performance.In the realm of economics, policymakers rely heavily on the statistical average to gauge economic health. For example, when assessing the average income of a population, they must consider how wealth distribution affects the statistical average. A few individuals with extremely high incomes can raise the average, making it appear that the overall population is more affluent than it actually is. Thus, understanding how to interpret the statistical average helps in creating effective policies that address economic disparities.Furthermore, in health sciences, researchers often utilize the statistical average to analyze patient outcomes. For example, in a clinical trial for a new medication, the average recovery time of participants is calculated to determine the drug's effectiveness. However, researchers must also be cautious of how the statistical averaging process might mask variations among different demographic groups. Understanding these nuances ensures that treatments are equitable and effective for diverse populations.In conclusion, the concept of statistical average and the process of statistical averaging are vital for interpreting data across various disciplines. They provide insights that inform decisions, highlight trends, and reveal underlying issues within data sets. As we continue to navigate an increasingly complex world filled with data, mastering the interpretation of the statistical average will empower individuals and organizations to make informed choices that positively impact society. Thus, fostering a deeper understanding of these statistical concepts is essential for anyone looking to thrive in today’s information-rich environment.

在当今这个数据驱动的世界，理解像统计平均数这样的概念对于准确解读信息至关重要。统计平均数，通常简称为平均数，是一种通过寻找中心值来总结一组数字的测量。这一概念在经济学、社会学和健康科学等多个领域中都是基础，因为数据分析在决策过程中发挥着关键作用。为了说明统计平均数的重要性，考虑一个课堂场景，老师想评估学生在最近一次考试中的表现。通过计算分数的统计平均数，她可以确定班级整体的表现。如果平均分明显低于预期，这可能表明教学方法需要调整或考试过于困难。此外，统计平均的过程不仅仅是将数字相加再除以数量。它需要仔细考虑数据集的特征，包括可能扭曲结果的异常值。例如，如果有一名学生由于外部因素而得分极低，这可能会不成比例地影响平均值。因此，教育工作者通常还会查看其他集中趋势的度量，例如中位数，以获得对学生表现的更全面理解。在经济学领域，政策制定者非常依赖统计平均数来评估经济健康。例如，在评估一个人群的平均收入时，他们必须考虑财富分配如何影响统计平均数。少数几位收入极高的人可能提高平均水平，使其看起来整体人群更加富裕。因此，理解如何解读统计平均数有助于制定有效的政策，以解决经济差距问题。此外，在健康科学中，研究人员常常利用统计平均数来分析患者的结果。例如，在一项新药物的临床试验中，参与者的平均恢复时间被计算出来以确定药物的有效性。然而，研究人员也必须谨慎处理统计平均过程可能掩盖不同人群之间的变异性。理解这些细微差别确保治疗对不同人群公平有效。总之，统计平均数的概念和统计平均的过程对各个学科的数据解读至关重要。它们提供的信息可以为决策提供见解，突出趋势，并揭示数据集中的潜在问题。随着我们继续在充满数据的复杂世界中航行，掌握对统计平均数的解读将使个人和组织能够做出对社会产生积极影响的明智选择。因此，深化对这些统计概念的理解对于任何希望在当今信息丰富的环境中蓬勃发展的人来说都是至关重要的。