dead number

简明释义

空号

英英释义

例句

1.After analyzing the data, we found that the dead number in our customer database was affecting our marketing strategy.

经过数据分析，我们发现客户数据库中的无效数字影响了我们的营销策略。

2.In statistics, a dead number often refers to a value that doesn't contribute to the overall analysis.

在统计学中，无效数字通常指不对整体分析产生贡献的值。

3.During the audit, we discovered several dead number transactions that had been mistakenly included.

在审计过程中，我们发现几个被错误包含的无效数字交易。

4.The report showed that the sales figures for last quarter were a dead number, indicating no growth compared to the previous year.

报告显示，上一季度的销售数字是一个无效数字，表明与去年相比没有增长。

5.The team decided to remove any dead number entries from the spreadsheet to ensure accuracy.

团队决定从电子表格中删除任何无效数字条目，以确保准确性。

作文

In the world of mathematics and statistics, we often encounter various terms that may seem confusing at first glance. One such term is dead number, which refers to a numerical value that has lost its significance or relevance in a given context. Understanding this concept can help us make better decisions when analyzing data and interpreting results.To illustrate the idea of a dead number, let’s consider a scenario in a business setting. Imagine a company that has been tracking its sales over several years. Initially, they recorded an impressive growth rate, but as time went on, certain numbers began to lose their impact. For instance, if a particular sales figure was once celebrated as a milestone, it might become a dead number if the company no longer achieves or exceeds that figure consistently.The importance of recognizing dead numbers lies in their potential to mislead stakeholders. If decision-makers focus on these outdated figures instead of current performance metrics, they might draw incorrect conclusions about the company’s health. For example, if a company continues to highlight a dead number from three years ago without acknowledging the changes in market conditions or consumer behavior, they risk making strategic errors.In another context, consider a sports team that tracks player statistics. A player might have had a stellar season two years ago, but if their performance has declined since then, those earlier statistics could be considered dead numbers. Coaches and analysts must prioritize recent data to evaluate a player's current capabilities accurately. Focusing on dead numbers can lead to misguided assessments and poor team decisions.Moreover, the concept of dead numbers extends beyond just business and sports. In academic research, scholars often encounter data that, while once significant, no longer holds value due to advancements in technology or shifts in societal norms. For instance, a study conducted years ago may yield findings that are now irrelevant, rendering some of its data as dead numbers. Researchers must continuously update their methodologies and frameworks to ensure they are working with relevant information.To avoid the pitfalls associated with dead numbers, it is crucial to adopt a mindset of critical analysis. Regularly reviewing and updating data sets can help organizations and individuals distinguish between valuable insights and those that have become obsolete. By doing so, they can maintain a clear perspective on their objectives and make informed decisions based on current realities.In conclusion, the term dead number encapsulates the idea of numerical values that have lost their significance over time. Whether in business, sports, or academia, recognizing and addressing dead numbers is essential for effective decision-making. By focusing on relevant and recent data, we can avoid the traps of outdated information and enhance our understanding of the world around us. This proactive approach will ultimately lead to more successful outcomes in various fields, ensuring that we remain adaptable and informed in an ever-changing environment.

在数学和统计学的世界中，我们经常会遇到各种术语，初看起来可能会让人困惑。其中一个术语是死数字，它指的是在特定上下文中失去重要性或相关性的数值。理解这一概念可以帮助我们在分析数据和解释结果时做出更好的决策。为了说明死数字的概念，让我们考虑一个商业场景。想象一家公司在几年内跟踪其销售情况。最初，他们记录了令人印象深刻的增长率，但随着时间的推移，某些数字开始失去影响力。例如，如果某个销售数字曾被庆祝为里程碑，那么如果公司未能持续实现或超过该数字，它可能就会成为死数字。识别死数字的重要性在于它们可能会误导利益相关者。如果决策者专注于这些过时的数字，而不是当前的绩效指标，他们可能会对公司的健康状况得出错误的结论。例如，如果一家公司继续强调三年前的死数字而没有承认市场条件或消费者行为的变化，他们就有可能做出战略错误。在另一个背景下，考虑一个跟踪球员统计数据的体育团队。一名球员可能在两年前的赛季表现出色，但如果他们的表现自那以后有所下降，那么那些早期的统计数据可能会被视为死数字。教练和分析师必须优先考虑最近的数据，以准确评估球员当前的能力。关注死数字可能导致误导性的评估和糟糕的团队决策。此外，死数字的概念不仅限于商业和体育。在学术研究中，学者们经常遇到一些数据，虽然曾经重要，但由于技术进步或社会规范的变化而不再具有价值。例如，一项几年前进行的研究可能会得出现在无关的发现，从而使其某些数据成为死数字。研究人员必须不断更新他们的方法论和框架，以确保他们使用的是相关信息。为了避免与死数字相关的陷阱，采取批判性分析的心态至关重要。定期审查和更新数据集可以帮助组织和个人区分有价值的见解和那些已经过时的信息。通过这样做，他们可以保持对目标的清晰视角，并根据当前现实做出明智的决策。总之，术语死数字概括了随时间推移而失去重要性的数值的概念。无论是在商业、体育还是学术界，识别和处理死数字对于有效决策至关重要。通过关注相关和最近的数据，我们可以避免过时信息的陷阱，并增强对周围世界的理解。这种主动的方法最终将导致各个领域更成功的结果，确保我们在不断变化的环境中保持适应性和信息灵通。