skew back

简明释义

侧倾

英英释义

例句

1.The team agreed to skew back their project timeline to accommodate new requirements.

团队同意倾斜回项目时间表，以适应新要求。

2.To improve stability, the designer chose to skew back the legs of the table.

为了提高稳定性，设计师选择倾斜回桌子的腿部。

3.In the meeting, he suggested they skew back their focus on marketing and prioritize product development.

在会议上，他建议他们倾斜回对市场营销的关注，优先考虑产品开发。

4.During the presentation, she had to skew back her argument to address the audience's concerns.

在演示过程中，她不得不倾斜回自己的论点，以应对观众的担忧。

5.The architect decided to skew back the roof design to give it a more modern look.

建筑师决定倾斜回屋顶设计，以使其看起来更现代。

作文

In the world of mathematics and statistics, we often encounter various terms that describe the behavior of data. One such term is 'skewness', which refers to the asymmetry of a distribution. When we talk about a distribution that is not symmetrical, we may use the term 'skew back' to describe how the data leans towards one side. In this essay, I will explore the concept of skewness and its implications in real-world scenarios, particularly focusing on how it can affect decision-making processes.Skewness can be classified into two main types: positive skewness and negative skewness. Positive skewness occurs when the tail on the right side of the distribution is longer or fatter than the left side. In contrast, negative skewness happens when the tail on the left side is longer or fatter than the right. Understanding these terms is crucial for interpreting data accurately. For example, in financial markets, if the returns of an investment are said to 'skew back' negatively, it indicates that there are more extreme losses than gains, which could influence an investor's strategy.Consider a scenario where a company is analyzing its sales data over several years. If the sales data shows a positive skew, it might indicate that most months have average sales, but a few months have exceptionally high sales figures. This could lead the management to believe that their sales strategy is effective, while in reality, the data is misleading due to the influence of those outlier months. In this case, the management should be cautious and not solely rely on the apparent success indicated by the skewed data. Here, the term 'skew back' becomes essential as it prompts the need for a deeper analysis of the underlying factors contributing to such outcomes.On the other hand, when the data 'skew back' negatively, it might suggest that while there are some months with decent sales, there are also several months with significantly low sales. This could be indicative of seasonal trends or other external factors affecting performance. By recognizing that their sales data is skewed, the company can take proactive measures to address potential issues, such as improving marketing strategies during low-performing months.Moreover, in the field of education, understanding the concept of skewness can help educators evaluate student performance more effectively. If test scores 'skew back' positively, it could mean that a majority of students performed well, but a small number of students scored exceptionally high, which might not reflect the overall understanding of the subject. Educators can use this information to tailor their teaching methods, ensuring that they address the needs of all students rather than focusing solely on the top performers.In conclusion, the term 'skew back' serves as a reminder that data can often present a distorted view of reality. Whether in business, finance, or education, recognizing the skewness of data is crucial for making informed decisions. It encourages a more comprehensive analysis that goes beyond surface-level interpretations. By understanding how data can 'skew back', we can better navigate the complexities of information and make choices that are grounded in a more accurate understanding of the underlying trends. Ultimately, embracing the nuances of data and being aware of how it can 'skew back' will empower us to make wiser decisions in our personal and professional lives.

在数学和统计学的世界中，我们常常会遇到各种描述数据行为的术语。其中一个术语是“偏斜度”，它指的是分布的不对称性。当我们谈论一个不对称的分布时，我们可能会用“skew back”这个术语来描述数据如何倾向于一侧。在这篇文章中，我将探讨偏斜度的概念及其在现实场景中的影响，特别关注它如何影响决策过程。偏斜度可以分为两种主要类型：正偏斜和负偏斜。正偏斜发生在分布的右侧尾部比左侧长或更胖时。相反，当左侧尾部比右侧长或更胖时，就会发生负偏斜。理解这些术语对于准确解释数据至关重要。例如，在金融市场上，如果投资的回报被说成“skew back”是负的，这表明极端损失的数量多于收益，这可能会影响投资者的策略。考虑一个公司分析多年销售数据的场景。如果销售数据呈现正偏斜，这可能表明大多数月份的销售额平均，但有几个月的销售额异常高。这可能导致管理层认为他们的销售策略有效，而实际上，由于那些离群值月份的影响，数据是具有误导性的。在这种情况下，管理层应保持谨慎，而不是仅依赖于偏斜数据所表明的明显成功。在这里，“skew back”这个术语变得至关重要，因为它促使需要对造成此类结果的潜在因素进行更深入的分析。另一方面，当数据“skew back”呈负向时，这可能表明虽然有些月份的销售额不错，但也有几个销售额显著低的月份。这可能是季节性趋势或其他外部因素影响业绩的指示。通过认识到他们的销售数据是偏斜的，公司可以采取积极措施来解决潜在问题，例如在表现不佳的月份改善营销策略。此外，在教育领域，理解偏斜度的概念可以帮助教育工作者更有效地评估学生表现。如果考试成绩“skew back”呈正向，这可能意味着大多数学生表现良好，但少数学生得分异常高，这可能并不反映整体的学科理解。教育工作者可以利用这一信息调整他们的教学方法，确保他们满足所有学生的需求，而不仅仅是关注顶尖表现者。总之，“skew back”这个术语提醒我们，数据往往会呈现扭曲的现实视图。无论是在商业、金融还是教育中，识别数据的偏斜性对于做出明智的决策至关重要。它鼓励我们进行更全面的分析，超越表面层面的解释。通过理解数据如何“skew back”，我们可以更好地驾驭信息的复杂性，并做出基于对潜在趋势更准确理解的选择。最终，接受数据的细微差别，并意识到它如何“skew back”，将使我们能够在个人和职业生活中做出更明智的决策。