miscount

简明释义

英[ˌmɪsˈkaʊnt]美[ˌmɪsˈkaʊnt]

v. 数错，算错

n. 数错，误算

复 数 m i s c o u n t s

第 三 人 称 单 数 m i s c o u n t s

现 在 分 词 m i s c o u n t i n g

过 去 式 m i s c o u n t e d

过 去 分 词 m i s c o u n t e d

英英释义

单词用法

同义词

反义词

例句

1.Emphatically studies now the popular serial communication agreement and the serial communication electric circuit design and investigates examines the miscount method realization.

着重研究当今流行的串行通信协议和串行通信电路的设计和纠检错算法的实现。

2.Emphatically studies now the popular serial communication agreement and the serial communication electric circuit design and investigates examines the miscount method realization.

着重研究当今流行的串行通信协议和串行通信电路的设计和纠检错算法的实现。

3.Due to a miscount 错误计算, the inventory showed more items than were actually in stock.

由于错误计算，库存显示的商品数量比实际库存多。

4.The accountant realized that he had made a miscount 错误计算 in the financial report.

会计意识到他在财务报告中做了一个错误计算。

5.The teacher discovered a miscount 错误计算 in the number of students present during roll call.

老师发现点名时在出勤人数上有一个错误计算。

6.The election results were delayed due to a miscount 错误计算 of the ballots.

由于对选票的错误计算，选举结果被延迟。

7.After a miscount 错误计算, the charity event raised less money than expected.

在一次错误计算后，慈善活动筹集的资金少于预期。

作文

In the world of statistics and data analysis, accuracy is paramount. A small error can lead to significant consequences, especially when making decisions based on numerical data. One common mistake that can occur during data collection or reporting is a miscount. A miscount refers to an error in counting or tallying numbers, which can skew results and lead to incorrect conclusions. For instance, imagine a company that conducts a survey to assess customer satisfaction. If the team responsible for tallying the responses makes a miscount, they might report that 80% of customers are satisfied when the actual figure is only 60%. This discrepancy can influence business strategies and ultimately affect the company's success.The implications of a miscount extend beyond just statistical errors; they can have real-world impacts. In a recent election, for example, reports surfaced about potential miscounts in ballot tallies. Such errors can undermine public trust in the electoral process and raise questions about the legitimacy of the results. Citizens rely on accurate counts to ensure that their votes are represented fairly, and any miscount can lead to feelings of disenfranchisement.To prevent miscounts, organizations must implement rigorous checks and balances in their counting processes. This includes double-checking figures, using automated systems where possible, and training personnel thoroughly. In academic research, peer review serves as a critical step in identifying potential miscounts before publication. Researchers must be diligent in their methodology and transparent in their reporting to ensure that their findings are credible.Moreover, technology plays a crucial role in minimizing miscounts. With advanced software and data analytics tools, organizations can streamline their counting processes and reduce human error. For example, data visualization tools can help analysts quickly spot anomalies that may suggest a miscount. By harnessing technology, we can enhance the accuracy of our data and make more informed decisions.In conclusion, a miscount can have far-reaching effects on various sectors, from business to politics to academia. Understanding the concept of a miscount and its implications is essential for anyone involved in data analysis or decision-making. As we continue to navigate an increasingly data-driven world, it is vital to prioritize accuracy and integrity in our counting processes. By doing so, we can ensure that the information we rely on is trustworthy and representative of reality.

在统计和数据分析的世界中，准确性至关重要。一个小错误可能导致重大后果，尤其是在基于数字数据做出决策时。数据收集或报告过程中常见的一个错误是miscount。miscount指的是在计数或统计数字时出现的错误，这可能会扭曲结果并导致不正确的结论。例如，想象一家进行顾客满意度调查的公司。如果负责统计响应的团队犯了miscount，他们可能会报告80%的客户满意，而实际数字只有60%。这种差异可能会影响商业策略，并最终影响公司的成功。miscount的影响不仅限于统计错误；它们可能对现实世界产生影响。在最近的一次选举中，出现了有关选票计数可能存在miscount的报告。这种错误可能会破坏公众对选举过程的信任，并引发对结果合法性的质疑。公民依赖准确的计数来确保他们的投票得到公平的代表，任何miscount都可能导致被剥夺权利的感觉。为了防止miscounts，组织必须在计数过程中实施严格的检查和平衡。这包括对数字进行双重检查，尽可能使用自动化系统，以及彻底培训人员。在学术研究中，同行评审是识别潜在miscounts的重要步骤。研究人员必须在方法论上保持谨慎，并在报告中保持透明，以确保他们的发现是可信的。此外，技术在减少miscounts方面发挥着至关重要的作用。借助先进的软件和数据分析工具，组织可以简化计数流程并减少人为错误。例如，数据可视化工具可以帮助分析师快速发现可能表明miscount的异常情况。通过利用技术，我们可以提高数据的准确性，并做出更明智的决策。总之，miscount可能对各个领域产生深远的影响，从商业到政治再到学术。理解miscount的概念及其影响对于任何参与数据分析或决策的人来说都是至关重要的。随着我们继续在一个日益数据驱动的世界中航行，优先考虑我们计数过程中的准确性和诚信至关重要。通过这样做，我们可以确保我们依赖的信息是可信的，并且代表现实。