statistical average

简明释义

统计平均

英英释义

例句

1.The statistical average temperature for this month is higher than usual, suggesting climate change effects.

本月的统计平均数温度高于往年，暗示气候变化的影响。

2.The statistical average of test scores in the class was 75%, indicating a solid understanding of the material.

班级的统计平均数为75%，表明学生对材料的理解良好。

3.In sports analytics, understanding the statistical average of player performance can help in making strategic decisions.

在体育分析中，了解球员表现的统计平均数可以帮助制定战略决策。

4.The statistical average income of households in this region has increased over the last decade.

该地区家庭的统计平均数收入在过去十年中有所增加。

5.To assess the performance of our sales team, we calculated the statistical average of monthly sales over the past year.

为了评估我们销售团队的表现，我们计算了过去一年每月销售额的统计平均数。

作文

The concept of the statistical average is fundamental in statistics and data analysis. It is a measure that summarizes a set of data points, providing a single value that represents the central tendency of the data. Understanding the statistical average can help individuals make sense of complex information and draw meaningful conclusions from it.When we talk about the statistical average, we usually refer to three main types: the mean, median, and mode. The mean is calculated by adding all the numbers in a dataset and then dividing by the total count of those numbers. This method is widely used but can be skewed by extreme values, also known as outliers. For instance, if we consider the ages of a group of people where most are in their twenties, but one person is a hundred years old, the mean age would be significantly higher than the majority.On the other hand, the median provides a more accurate representation of the central tendency when outliers are present. The median is the middle value when all the data points are arranged in ascending order. In our previous example, the median age would reflect the age of the person in the middle of the dataset, thus giving a better understanding of the group's general age.The mode, which is the third type of statistical average, refers to the value that appears most frequently in a dataset. This measure is particularly useful in categorical data analysis, where we want to identify the most common category or response. For example, if we survey people's favorite fruits and find that apples are mentioned most often, then apples represent the mode of that data.In practical applications, understanding the statistical average is crucial for various fields such as economics, psychology, and healthcare. For instance, economists use the mean income to assess the economic well-being of a population. However, they must also consider the median income to understand income distribution better, especially in societies with significant income inequality.Moreover, in healthcare, researchers might use the statistical average to analyze patient outcomes. By calculating the average recovery time after a particular treatment, they can provide insights into its effectiveness. However, they must also look at the median recovery time to account for those who may take significantly longer to heal.In conclusion, the statistical average is an essential tool in data analysis, offering a way to summarize large datasets into comprehensible figures. However, it is important to remember that relying solely on the mean can sometimes give a distorted view of reality, especially in the presence of outliers. By also considering the median and mode, we can achieve a more rounded understanding of the data. Ultimately, mastering the concept of the statistical average allows us to make informed decisions based on data, enhancing our ability to interpret the world around us.

统计平均数的概念在统计学和数据分析中是基础。它是一种总结一组数据点的测量，提供一个代表数据中心趋势的单一值。理解统计平均数可以帮助个人理解复杂的信息，并从中得出有意义的结论。当我们谈论统计平均数时，通常指的是三种主要类型：均值、中位数和众数。均值是通过将数据集中的所有数字相加，然后除以这些数字的总数来计算的。这种方法被广泛使用，但可能会受到极端值（也称为离群值）的影响。例如，如果我们考虑一个人群的年龄，其中大多数人在二十多岁，但有一个人一百岁，那么平均年龄将显著高于大多数人的年龄。另一方面，中位数在存在离群值时能更准确地表示中心趋势。中位数是当所有数据点按升序排列时的中间值。在我们之前的例子中，中位数年龄将反映数据集中间的人的年龄，从而更好地了解该组的一般年龄。众数是统计平均数的第三种类型，指的是在数据集中出现频率最高的值。当我们想要识别最常见的类别或反应时，这个测量特别有用。例如，如果我们调查人们最喜欢的水果，发现苹果被提到得最多，那么苹果就是该数据的众数。在实际应用中，理解统计平均数对经济学、心理学和医疗保健等各个领域至关重要。例如，经济学家使用平均收入来评估人口的经济福祉。然而，他们还必须考虑中位收入，以更好地理解收入分配，特别是在收入不平等显著的社会中。此外，在医疗保健中，研究人员可能会使用统计平均数来分析患者的治疗结果。通过计算特定治疗后的平均恢复时间，他们可以提供有关其有效性的见解。然而，他们还必须查看中位恢复时间，以考虑那些恢复时间可能显著较长的患者。总之，统计平均数是数据分析中的一个重要工具，提供了一种将大型数据集总结为可理解数字的方法。然而，重要的是要记住，仅依赖均值有时会给现实带来扭曲的看法，尤其是在存在离群值时。通过同时考虑中位数和众数，我们可以获得对数据更全面的理解。最终，掌握统计平均数的概念使我们能够基于数据做出明智的决策，增强我们对周围世界的解读能力。