weight in average

简明释义

平均重量

英英释义

例句

1.In our survey, the weight in average of the responses indicated a preference for online shopping.

在我们的调查中，回复的平均权重显示出对在线购物的偏好。

2.The weight in average of the students in this class is higher than last year.

这个班级学生的平均体重比去年高。

3.To calculate the weight in average, we need to sum all the weights and divide by the number of items.

要计算平均重量，我们需要将所有重量相加，然后除以物品的数量。

4.The weight in average of the fish caught this season is much better than last year’s.

这个季节捕获的鱼的平均重量比去年的好得多。

5.The weight in average of the packages shipped last month was significantly lower than usual.

上个月发货包裹的平均重量明显低于正常水平。

作文

In today's data-driven world, understanding statistical measures is crucial for making informed decisions. One such measure that often comes into play is the concept of weight in average. This term refers to the method of calculating an average where different values contribute to the final result based on their importance or frequency. For example, in a classroom setting, if a teacher assigns different weights to various assessments, the final grade will reflect not just the raw scores but also the significance of each assessment. This is particularly useful when some assignments are deemed more critical than others, allowing for a more accurate representation of a student's performance.To illustrate the concept further, consider a situation where a student has three assignments with the following scores: Assignment 1: 80 (weight: 20%), Assignment 2: 90 (weight: 30%), and Assignment 3: 70 (weight: 50%). To calculate the weight in average, we multiply each score by its corresponding weight and then sum these products:(80 * 0.2) + (90 * 0.3) + (70 * 0.5) = 16 + 27 + 35 = 78.Thus, the weight in average for the student's performance across these assignments is 78. This approach provides a clearer picture of the student's capabilities, as it takes into account the varying importance of each assignment.Moreover, the application of weight in average extends beyond academic settings. In finance, for instance, investors often use weighted averages to assess the performance of their portfolios. By assigning weights based on the amount invested in each asset, they can calculate a more representative average return. This method allows investors to understand how much each investment contributes to their overall portfolio performance, leading to better strategic decisions.In everyday life, we encounter situations where weight in average plays a role, such as in sports rankings. Teams may be ranked based on their performance in various matches, but not all matches are equally significant. A championship game might carry more weight than a regular season game, thus affecting the overall ranking of a team. By applying a weighted average to these scores, sports analysts can provide a fairer assessment of a team's abilities.Understanding weight in average also helps in interpreting public opinion polls. When conducting surveys, certain demographics may be overrepresented or underrepresented. By applying weights to these groups, pollsters can adjust their findings to reflect a more accurate view of the population's opinions. This adjustment is vital for ensuring that decision-makers have reliable data to base their policies on.In conclusion, the concept of weight in average is an essential tool in various fields, from education to finance and beyond. It allows for a nuanced understanding of data by considering the significance of different inputs. As we continue to navigate a world rich in information, mastering such statistical concepts will empower individuals to make better-informed decisions. Whether it's calculating grades, managing investments, or interpreting survey results, the ability to apply weight in average effectively can lead to more accurate outcomes and insights.

在当今数据驱动的世界中，理解统计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加权平均数的概念。这个术语指的是一种计算平均值的方法，其中不同的数值根据其重要性或频率对最终结果的贡献。例如，在课堂环境中，如果老师给不同的评估分配不同的权重，那么最终成绩将不仅反映原始分数，还会反映每个评估的重要性。当某些作业被认为比其他作业更为关键时，这尤其有用，从而允许更准确地表示学生的表现。为了进一步说明这一概念，考虑一种情况：一名学生有三项作业，其分数如下：作业1：80（权重：20%），作业2：90（权重：30%），作业3：70（权重：50%）。要计算加权平均数，我们将每个分数乘以其相应的权重，然后将这些乘积相加：(80 * 0.2) + (90 * 0.3) + (70 * 0.5) = 16 + 27 + 35 = 78。因此，该学生在这些作业中的加权平均数为78。这种方法提供了对学生能力的更清晰的认识，因为它考虑了每项作业的重要性差异。此外，加权平均数的应用超越了学术环境。在金融领域，例如，投资者通常使用加权平均数来评估其投资组合的表现。通过根据每个资产的投资金额分配权重，他们可以计算出更具代表性的平均回报。这种方法使投资者能够了解每项投资对其整体投资组合表现的贡献，从而做出更好的战略决策。在日常生活中，我们遇到的情况也会涉及加权平均数的作用，例如体育排名。球队可能根据他们在各种比赛中的表现进行排名，但并不是所有比赛都同样重要。一场冠军赛可能比常规赛更具重要性，因此会影响球队的总体排名。通过对这些分数应用加权平均，体育分析师可以提供对球队能力的更公平评估。理解加权平均数还有助于解读公众舆论调查。在进行调查时，某些人口统计可能被过度代表或低估。通过对这些群体应用权重，民调机构可以调整其发现，以反映对人群意见的更准确看法。这一调整对于确保决策者拥有可靠的数据来制定政策至关重要。总之，加权平均数的概念是各个领域的重要工具，从教育到金融及其他领域。它通过考虑不同输入的重要性，允许对数据进行细致的理解。随着我们继续在信息丰富的世界中航行，掌握这样的统计概念将使个人能够做出更明智的决策。无论是计算成绩、管理投资还是解读调查结果，有效应用加权平均数的能力都能带来更准确的结果和见解。