average value

简明释义

平均值

英英释义

The sum of a set of values divided by the number of values in that set, representing a central or typical value.

一组数值的总和除以该组数值的数量,表示一个中心或典型值。

例句

1.The average value of the rainfall over the past decade shows a significant increase.

过去十年的降雨量的平均值显示出显著增加。

2.In statistics, the average value is often referred to as the mean.

在统计学中,平均值通常被称为均值。

3.The average value of the monthly expenses helps in budgeting for the upcoming months.

每月开支的平均值有助于为接下来的几个月做好预算。

4.The average value of the test scores was 75, indicating that most students performed well.

测试分数的平均值是75,表明大多数学生表现良好。

5.To find the average value of a set of numbers, you add them all together and divide by how many there are.

要找到一组数字的平均值,你需要将它们相加后除以数量。

作文

In mathematics, the concept of average value (平均值) plays a crucial role in understanding data sets and making informed decisions based on them. The average value is a measure that summarizes a collection of numbers by providing a single representative figure. It is calculated by adding all the values together and then dividing by the number of values. This simple yet powerful calculation allows us to grasp the central tendency of data, which can be particularly useful in various fields such as statistics, economics, and everyday life.For instance, consider a classroom where students take a math test. If the scores are 70, 80, 90, and 100, the average value (平均值) of these scores would be calculated as follows: (70 + 80 + 90 + 100) / 4 = 85. This average value indicates that, on average, students performed reasonably well on the test. However, it is essential to recognize that the average value might not fully represent the distribution of scores. In this case, while the average value suggests a good overall performance, it does not reveal how many students struggled or excelled significantly.Moreover, the average value can be affected by outliers—values that are significantly higher or lower than the rest of the data set. For example, if one student scored 30 on the same test, the new average value would be (70 + 80 + 90 + 100 + 30) / 5 = 74. This drastic change illustrates how outliers can skew the average value (平均值) and potentially mislead our understanding of the overall performance.In real-world applications, businesses often rely on the average value to analyze sales data, customer satisfaction ratings, and other key performance indicators. By calculating the average value, companies can assess their performance trends over time. For example, if a retail store tracks its monthly sales and finds an average value of $10,000 over six months, they can use this information to set future sales targets and make strategic decisions.Additionally, the average value (平均值) is not limited to numerical data. In qualitative research, researchers may analyze responses to surveys and determine an average value for satisfaction levels or preferences. This helps organizations understand their audience better and tailor their services accordingly.However, it is crucial to complement the average value with other statistical measures, such as median and mode, to gain a more comprehensive view of the data. The median provides the middle point of a data set, while the mode identifies the most frequently occurring value. Together, these metrics can help paint a clearer picture of the data being analyzed.In conclusion, the average value (平均值) is a fundamental concept in mathematics and statistics that serves as a vital tool for summarizing data. Its applications span across various fields, from education to business, enabling individuals and organizations to make informed decisions based on numerical data. However, it is essential to be cautious of outliers and to consider additional statistical measures to ensure a well-rounded understanding of the data. By doing so, we can harness the power of the average value to enhance our decision-making processes and improve outcomes in various aspects of life.

在数学中,平均值的概念在理解数据集和基于数据做出明智决策方面起着至关重要的作用。平均值是通过提供一个单一的代表性数字来总结一组数字的度量。它是通过将所有值相加,然后除以值的数量来计算的。这种简单而强大的计算使我们能够掌握数据的集中趋势,这在统计学、经济学和日常生活等多个领域都特别有用。例如,考虑一个教室,学生参加数学考试。如果分数为70、80、90和100,则这些分数的平均值(平均值)将按如下方式计算:(70 + 80 + 90 + 100)/ 4 = 85。这个平均值表明,学生在考试中的平均表现相当不错。然而,必须认识到,平均值可能无法充分代表分数的分布。在这种情况下,虽然平均值暗示整体表现良好,但它并没有揭示有多少学生挣扎或表现突出。此外,平均值可能会受到异常值的影响——与其余数据集相比,显著较高或较低的值。例如,如果一名学生在同一考试中得了30分,则新的平均值将为(70 + 80 + 90 + 100 + 30)/ 5 = 74。这个剧烈的变化说明了异常值如何扭曲平均值(平均值),并可能误导我们对整体表现的理解。在现实世界的应用中,企业通常依赖于平均值来分析销售数据、客户满意度评分和其他关键绩效指标。通过计算平均值,公司可以评估其随时间变化的表现趋势。例如,如果一家零售店跟踪其每月销售额,并发现六个月的平均值为$10,000,他们可以利用这些信息设定未来的销售目标并做出战略决策。此外,平均值(平均值)并不限于数值数据。在定性研究中,研究人员可能会分析调查问卷的回答,并确定满意度或偏好的平均值。这帮助组织更好地理解其受众,并相应地调整其服务。然而,重要的是要补充平均值与其他统计度量,例如中位数和众数,以获得对数据更全面的视角。中位数提供数据集的中间点,而众数则识别最常出现的值。这些指标结合在一起,可以帮助清晰地描绘被分析的数据。总之,平均值(平均值)是数学和统计学中的一个基本概念,是总结数据的重要工具。它的应用跨越多个领域,从教育到商业,使个人和组织能够根据数字数据做出明智的决策。然而,必须谨慎对待异常值,并考虑其他统计度量,以确保对数据的全面理解。通过这样做,我们可以利用平均值的力量来增强我们的决策过程,并改善生活各个方面的结果。