mean range

简明释义

平均差值平均差

英英释义

例句

1.The teacher explained that the mean range 均值范围 of the test scores helps us understand the overall performance of the class.

老师解释说，考试成绩的mean range 均值范围 有助于我们了解班级的整体表现。

2.The mean range 均值范围 of temperatures in July was higher than in June, indicating a warming trend.

七月份的mean range 均值范围 温度高于六月，表明了一个升温趋势。

3.To assess the project's success, we need to calculate the mean range 均值范围 of customer satisfaction ratings.

为了评估项目的成功，我们需要计算客户满意度评分的mean range 均值范围。

4.In statistics, calculating the mean range 均值范围 of a dataset can provide insights into its variability.

在统计学中，计算数据集的mean range 均值范围 可以提供其变异性的见解。

5.The mean range 均值范围 of the athletes' performances varied significantly between events.

运动员在不同项目中的表现的mean range 均值范围 显著不同。

作文

In the world of statistics and data analysis, understanding various measures of central tendency and dispersion is crucial. One such measure that often comes up in discussions is the mean range. The mean range refers to the average of the differences between the maximum and minimum values in a dataset. This concept is particularly useful when we want to understand how spread out the values are in relation to their average. For instance, consider a scenario where a teacher wants to evaluate the test scores of her students. If the scores are 70, 75, 80, 85, and 90, the maximum score is 90, and the minimum score is 70. The mean range would be calculated as follows: first, we find the difference between the maximum and minimum scores, which is 90 - 70 = 20. Then, to find the mean range, we can take this difference and divide it by the number of scores, which in this case is 5. Therefore, the mean range is 20 / 5 = 4. This indicates that, on average, the scores deviate from the mean by 4 points. Understanding the mean range is particularly beneficial in fields such as quality control, finance, and social sciences. For example, in quality control, manufacturers might use the mean range to determine the consistency of a product's dimensions. If the mean range is small, it suggests that the products are uniform, whereas a large mean range indicates variability that may need to be addressed. Moreover, the mean range can also help in making informed decisions based on data. In business, companies often analyze sales data to understand customer behavior and preferences. By calculating the mean range of sales figures over a specific period, they can assess whether their sales strategies are effective or if adjustments are necessary. A narrow mean range could imply stable sales, while a broad mean range might suggest fluctuations in consumer demand. Another area where the mean range plays a vital role is in academic research. Researchers often analyze survey results or experimental data to draw conclusions about a population. By examining the mean range of their findings, they can gauge the reliability and validity of their results. A smaller mean range may indicate that the data is tightly clustered around the mean, leading to more robust conclusions. In conclusion, the mean range is an essential statistical tool that provides insight into the variability of data within a set. It helps analysts, researchers, and decision-makers understand the extent of deviation from the average, which can inform strategies and actions across various fields. As we continue to rely on data-driven approaches in our daily lives, mastering concepts like the mean range will undoubtedly enhance our ability to interpret and utilize information effectively.

在统计学和数据分析的世界中，理解各种集中趋势和离散度的测量至关重要。其中一个常常在讨论中出现的测量是均值范围。均值范围指的是数据集中最大值和最小值之间差异的平均值。当我们想要了解数值相对于其平均值的分散程度时，这个概念特别有用。例如，考虑一个老师想要评估她学生的考试成绩的场景。如果成绩为70、75、80、85和90，最大分数为90，最小分数为70。均值范围的计算如下：首先，我们找到最大分数和最小分数之间的差，即90 - 70 = 20。然后，为了找到均值范围，我们可以将这个差值除以分数的数量，在这种情况下是5。因此，均值范围为20 / 5 = 4。这表明，平均而言，分数与均值的偏差为4分。理解均值范围在质量控制、金融和社会科学等领域特别有益。例如，在质量控制中，制造商可能会使用均值范围来确定产品尺寸的一致性。如果均值范围很小，这表明产品是均匀的，而较大的均值范围则表明可能需要解决的变异性。此外，均值范围还可以帮助基于数据做出明智的决策。在商业中，公司通常分析销售数据以了解客户行为和偏好。通过计算特定时期销售数据的均值范围，他们可以评估其销售策略是否有效或是否需要调整。狭窄的均值范围可能意味着稳定的销售，而广泛的均值范围可能暗示消费者需求的波动。均值范围在学术研究中也发挥着至关重要的作用。研究人员经常分析调查结果或实验数据，以得出关于某一人群的结论。通过检查他们发现的均值范围，他们可以评估结果的可靠性和有效性。较小的均值范围可能表明数据紧密聚集在均值周围，从而得出更可靠的结论。总之，均值范围是一个重要的统计工具，提供了关于数据集内变异性的洞察。它帮助分析师、研究人员和决策者理解与平均值的偏差程度，这可以为各个领域的策略和行动提供信息。随着我们在日常生活中越来越依赖数据驱动的方法，掌握像均值范围这样的概念无疑将增强我们有效解读和利用信息的能力。