mean value

简明释义

平均值

英英释义

例句

1.The mean value of the test scores was surprisingly high this year.

今年考试成绩的均值出乎意料地高。

2.The mean value of the dataset indicates its central tendency.

数据集的均值表示其中心趋势。

3.To calculate the mean value, add all the numbers together and divide by the count.

要计算均值，将所有数字相加并除以数量。

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

在统计学中，均值通常被称为平均数。

5.The mean value of the monthly temperatures helps us understand climate patterns.

每月气温的均值帮助我们理解气候模式。

作文

In mathematics and statistics, the concept of mean value (平均值) plays a crucial role in understanding data sets and their distributions. The mean value is essentially the average of a set of numbers, calculated by adding all the values together and dividing by the number of values. This simple yet powerful measure provides valuable insights into the central tendency of the data. To illustrate the importance of the mean value (平均值), let’s consider a practical example. Imagine you are a teacher who has just graded a set of exams for your class of 30 students. After grading, you find that the scores range from 50 to 100. To determine how well the class performed on average, you would calculate the mean value (平均值) of the scores. By adding all the individual scores together and dividing by 30, you would arrive at the mean value (平均值), which gives you a clear indication of the overall performance of your students.The mean value (平均值) is not only important in educational settings but also in various fields such as economics, psychology, and social sciences. For instance, economists often analyze the mean value (平均值) of income levels within a population to assess economic health and inequality. If the mean value (平均值) of income is significantly higher than the median income, it may indicate that a small number of individuals earn disproportionately high incomes, highlighting issues of wealth distribution.However, while the mean value (平均值) is a useful statistic, it is essential to recognize its limitations. One significant limitation is its sensitivity to outliers. For example, if one student in our earlier example scored 0 on the exam, this score could dramatically lower the mean value (平均值) of the entire class, potentially misrepresenting the overall performance. In such cases, other measures of central tendency, like the median or mode, might provide a more accurate representation of the data.Moreover, understanding the mean value (平均值) requires contextual knowledge about the data being analyzed. For instance, in a data set representing household sizes, a mean value (平均值) of 3.5 might suggest that there are families with both smaller and larger sizes. Without further analysis, such as examining the distribution of family sizes, one might draw incorrect conclusions about the typical family size in that area.In conclusion, the mean value (平均值) is a fundamental concept in statistics that serves as a useful tool for summarizing data. It helps us understand trends and make informed decisions based on numeric data. However, it is crucial to use the mean value (平均值) alongside other statistical measures and to consider the context of the data to avoid misinterpretations. As we continue to collect and analyze data in our increasingly data-driven world, mastering the concept of the mean value (平均值) will undoubtedly enhance our analytical skills and improve our decision-making processes.

在数学和统计学中，mean value（平均值）这一概念在理解数据集及其分布方面起着至关重要的作用。mean value（平均值）本质上是一个数字集合的平均值，通过将所有值相加并除以值的数量来计算。这个简单而强大的度量提供了有关数据中心趋势的宝贵见解。为了说明mean value（平均值）的重要性，让我们考虑一个实际示例。假设您是一位教师，刚刚为班级的30名学生评分。在评分后，您发现分数范围从50到100。为了确定班级的平均表现，您需要计算这些分数的mean value（平均值）。通过将所有个别分数相加并除以30，您将得出mean value（平均值），这为您提供了清晰的学生整体表现指标。mean value（平均值）不仅在教育领域中重要，而且在经济学、心理学和社会科学等多个领域也有应用。例如，经济学家常常分析一个人群中的收入水平的mean value（平均值），以评估经济健康和不平等。如果mean value（平均值）收入显著高于中位数收入，这可能表明少数人赚取的不成比例的高收入，从而突显财富分配的问题。然而，虽然mean value（平均值）是一个有用的统计量，但认识到它的局限性是至关重要的。一个显著的局限性是它对极端值的敏感性。例如，如果我们前面的例子中有一名学生在考试中得了0分，这个分数可能会大幅降低整个班级的mean value（平均值），可能会错误地反映整体表现。在这种情况下，其他中心趋势的度量，如中位数或众数，可能会更准确地表示数据。此外，理解mean value（平均值）还需要对所分析数据的背景知识。例如，在代表家庭规模的数据集中，mean value（平均值）为3.5可能表明有小型和大型家庭。没有进一步分析，例如检查家庭规模的分布，可能会对该地区典型家庭规模得出错误结论。总之，mean value（平均值）是统计学中的一个基本概念，是总结数据的有用工具。它帮助我们理解趋势，并根据数字数据做出明智的决策。然而，必须与其他统计度量一起使用mean value（平均值），并考虑数据的背景，以避免误解。随着我们在日益数据驱动的世界中继续收集和分析数据，掌握mean value（平均值）这一概念无疑将增强我们的分析能力，提高我们的决策过程。