mean range

简明释义

平均差值

英英释义

例句

1.To find the mean range 平均范围, you need to calculate the average of the highest and lowest values.

要找到mean range 平均范围，你需要计算最高值和最低值的平均数。

2.The mean range 平均范围 of temperatures over the year indicates the climate trends.

全年气温的mean range 平均范围 显示了气候趋势。

3.The teacher explained that the mean range 平均范围 of test scores helps to understand the overall performance of the class.

老师解释说，考试成绩的mean range 平均范围 有助于了解班级的整体表现。

4.The mean range 平均范围 of prices in this market can help consumers make informed decisions.

该市场价格的mean range 平均范围 可以帮助消费者做出明智的决定。

5.In statistics, the mean range 平均范围 is often used to summarize data sets.

在统计学中，mean range 平均范围 常用于总结数据集。

作文

In the realm of statistics, understanding various measures is crucial for interpreting data accurately. One such measure that often comes into play is the mean range. The mean range refers to the average difference between the highest and lowest values in a dataset. It provides insight into the spread or dispersion of data points, which is essential for analyzing trends and making informed decisions. For instance, if a teacher wants to evaluate the performance of students in a class, calculating the mean range of their test scores can reveal how varied the scores are. A small mean range indicates that most students performed similarly, while a large mean range suggests significant differences in performance.To illustrate this concept further, consider a scenario where five students scored the following marks on a test: 70, 85, 90, 95, and 100. The highest score is 100, and the lowest score is 70. To find the mean range, we subtract the lowest score from the highest score: 100 - 70 = 30. This means the mean range of the test scores is 30, indicating a moderate level of variability among student performances.Understanding the mean range is not limited to academic settings; it is also applicable in various fields, including finance, healthcare, and quality control. In finance, for example, investors may analyze the mean range of stock prices over a certain period to assess volatility. A wider mean range could imply higher risk, prompting investors to make more cautious decisions.Moreover, in healthcare, the mean range can be used to evaluate patient outcomes. If a hospital tracks the recovery times of patients undergoing a specific procedure, the mean range of recovery times can help identify whether there are significant disparities in patient experiences. This information can lead to improvements in treatment protocols and patient care.Despite its usefulness, it is important to note that the mean range has its limitations. It does not account for the frequency of data points within the range, meaning that two datasets can have the same mean range but vastly different distributions. Therefore, it is often beneficial to use the mean range in conjunction with other statistical measures, such as the mean, median, and standard deviation, to gain a comprehensive understanding of the data.In conclusion, the mean range is a valuable statistical tool that helps summarize data variability. Whether in education, finance, or healthcare, understanding the mean range allows professionals to make better decisions based on data analysis. As we continue to navigate an increasingly data-driven world, mastering such concepts will be essential for effective communication and problem-solving across various disciplines.

在统计学领域，理解各种度量对于准确解读数据至关重要。其中一个常用的度量是均值范围。均值范围指的是数据集中最高值和最低值之间的平均差异。它提供了数据点的分布或离散程度的洞察，这对于分析趋势和做出明智的决策至关重要。例如，如果一位老师想要评估班级学生的表现，计算他们考试成绩的均值范围可以揭示分数的差异程度。较小的均值范围表明大多数学生的表现相似，而较大的均值范围则暗示表现存在显著差异。为了进一步说明这个概念，考虑一个场景，其中五名学生在一次考试中得到了以下分数：70、85、90、95 和 100。最高分是 100，最低分是 70。要找到均值范围，我们从最高分中减去最低分：100 - 70 = 30。这意味着考试成绩的均值范围是 30，表明学生表现的变异程度适中。理解均值范围并不仅限于学术环境；它还适用于多个领域，包括金融、医疗保健和质量控制。在金融领域，例如，投资者可能会分析某段时间内股票价格的均值范围以评估波动性。更广泛的均值范围可能意味着更高的风险，促使投资者做出更谨慎的决策。此外，在医疗保健中，均值范围可以用于评估患者的结果。如果一家医院跟踪接受特定手术的患者的恢复时间，均值范围可以帮助识别患者体验是否存在显著差异。这些信息可以促成治疗方案和患者护理的改进。尽管它有用，但需要注意的是，均值范围也有其局限性。它不考虑范围内数据点的频率，这意味着两个数据集可以具有相同的均值范围但分布却截然不同。因此，通常使用均值范围与其他统计度量（如均值、中位数和标准差）结合使用，以全面了解数据。总之，均值范围是一个有价值的统计工具，有助于总结数据的变异性。无论是在教育、金融还是医疗保健中，理解均值范围使专业人士能够基于数据分析做出更好的决策。随着我们继续在日益数据驱动的世界中航行，掌握这样的概念将对各个学科的有效沟通和问题解决至关重要。