mean rank

简明释义

平均等级

英英释义

例句

1.In this competition, the judges assigned a mean rank 平均等级 to each contestant based on their performances.

在这场比赛中，评委根据每位参赛者的表现分配了一个平均等级。

2.The study calculated the mean rank 平均等级 of participants based on their performance in the test.

这项研究根据参与者在测试中的表现计算了< span>平均等级。

3.The mean rank 平均等级 of the different marketing strategies was analyzed to determine which was most effective.

不同市场营销策略的平均等级被分析以确定哪种策略最有效。

4.The mean rank 平均等级 of the students was determined by averaging their scores across all subjects.

学生的平均等级是通过对所有科目的成绩进行平均计算得出的。

5.To evaluate the effectiveness of the treatment, researchers compared the mean rank 平均等级 of patient outcomes before and after the intervention.

为了评估治疗的有效性，研究人员比较了干预前后患者结果的平均等级。

作文

In the realm of statistics and data analysis, understanding various metrics is crucial for making informed decisions. One such metric that often comes into play is the mean rank, which refers to the average position of a set of values when they are arranged in order. The concept of mean rank can be particularly useful in fields such as psychology, education, and social sciences, where researchers often need to analyze ordinal data. For instance, if a researcher conducts a study on student performance and ranks students based on their test scores, the mean rank can provide insights into the overall performance level of the group. To illustrate this, consider a scenario where five students receive the following scores: 90, 80, 70, 60, and 50. When these scores are ranked from highest to lowest, we assign ranks of 1 to 5 respectively. To calculate the mean rank, we sum the ranks (1 + 2 + 3 + 4 + 5 = 15) and divide by the number of students (5). Therefore, the mean rank is 15 / 5 = 3. This indicates that, on average, students in this group scored at the third position in terms of performance.The significance of mean rank extends beyond mere calculation; it helps researchers identify trends and make comparisons between different groups. For example, if another group of students has scores of 85, 75, 65, 55, and 45, their ranks would also be calculated similarly. By analyzing the mean rank of both groups, one can determine which group performed better on average and draw conclusions about potential factors influencing their performance.Moreover, mean rank plays a vital role in non-parametric statistical tests, such as the Mann-Whitney U test and the Kruskal-Wallis test. These tests do not assume a normal distribution and are particularly beneficial when dealing with ordinal data or when the sample sizes are small. In these tests, the mean rank of each group is compared to assess whether there are significant differences between them. In conclusion, the concept of mean rank serves as a fundamental tool in statistical analysis, providing valuable insights into the relative positions of data points within a dataset. By understanding how to calculate and interpret mean rank, researchers can enhance their analytical skills and contribute to more robust findings in their respective fields. Whether in educational assessments, psychological studies, or social research, the application of mean rank can lead to a deeper understanding of complex data and facilitate informed decision-making.

在统计学和数据分析的领域中，理解各种指标对于做出明智的决策至关重要。其中一个常用的指标是平均排名，它指的是一组值按顺序排列时的平均位置。平均排名的概念在心理学、教育学和社会科学等领域尤其有用，研究人员常常需要分析有序数据。例如，如果研究人员对学生表现进行研究并根据考试成绩对学生进行排名，那么平均排名可以提供有关该组整体表现水平的见解。为了说明这一点，考虑一个场景，其中五名学生的成绩分别为90、80、70、60和50。当这些分数从高到低排名时，我们分别赋予他们1到5的排名。要计算平均排名，我们将排名相加（1 + 2 + 3 + 4 + 5 = 15），然后除以学生人数（5）。因此，平均排名为15 / 5 = 3。这表明，平均而言，该组学生在表现上处于第三的位置。平均排名的重要性不仅仅在于计算；它帮助研究人员识别趋势并在不同组之间进行比较。例如，如果另一组学生的分数为85、75、65、55和45，他们的排名也将以类似的方式计算。通过分析两个组的平均排名，可以确定哪个组的表现更好，并得出可能影响其表现的因素的结论。此外，平均排名在非参数统计检验中扮演着重要角色，例如Mann-Whitney U检验和Kruskal-Wallis检验。这些检验不假设正态分布，特别适用于处理有序数据或样本量较小的情况。在这些检验中，各组的平均排名被比较，以评估它们之间是否存在显著差异。总之，平均排名的概念作为统计分析中的基本工具，提供了对数据集中数据点相对位置的宝贵见解。通过理解如何计算和解释平均排名，研究人员可以增强他们的分析能力，并为各自领域的更稳健的研究结果做出贡献。无论是在教育评估、心理学研究还是社会研究中，平均排名的应用都可以深入理解复杂数据并促进明智的决策。