statistic

简明释义

英[stəˈtɪstɪk]美[stəˈtɪstɪk]

n. 统计数字，统计资料；统计学（statistics）；（一项）统计数据

adj. 统计的，统计学的（同 statistical）

复 数 s t a t i s t i c s

英英释义

单词用法

同义词

反义词

例句

1.Have you SEEN the traffic fatality statistic?

你没有看过交通事故统计数据吗？

2.I'll just give you a quick statistic.

我说一个简单的统计。

3.Compelling figures for statistic mad football fans.

关于这些疯狂球迷的统计数据引人注目。

4.A statistic on adults who regularly engage in volunteer work helping others shows that they live longer, on average, than adults who do not volunteer.

对定期参加志愿服务帮助他人的成年人的调查数据显示，这类人群的平均寿命比不做志愿服务的成年人要长。

5.It works for any statistic, not just simple ones like the mean.

它适用于任何统计数据，而不只是平均值这样的简单数据。

6.Despite the statistic, the captain stuck to his duty.

尽管有统计，船长还是坚持他的职责。

7.Compute the t statistic probability.

计算t统计值概率。

8.The latest unemployment statistic shows a decrease in jobless claims.

最新的失业统计数据显示失业申请减少。

9.A recent statistic revealed that 70% of participants prefer online shopping.

最近的统计数据显示70%的参与者更喜欢网上购物。

10.According to the statistic provided by the government, crime rates have dropped significantly.

根据政府提供的统计数据，犯罪率显著下降。

11.The survey results include a statistic on customer satisfaction.

调查结果中包含有关客户满意度的统计数据。

12.This statistic indicates that more people are using public transportation.

这个统计数据表明越来越多的人使用公共交通。

作文

Statistics play a crucial role in our understanding of the world. They provide us with a means to quantify information and analyze data, making complex phenomena more comprehensible. A statistic (统计数据) is essentially a numerical value that represents a piece of information derived from data collection and analysis. For instance, when we look at the population growth of a country, we often refer to specific statistics (统计数据) that indicate how many people have been added over a certain period. This allows policymakers to make informed decisions about resource allocation and infrastructure development.In various fields such as economics, healthcare, and social sciences, statistics (统计数据) are indispensable. Economists rely on statistics (统计数据) to gauge the health of an economy, using figures like GDP growth rates and unemployment percentages. In healthcare, statistics (统计数据) help track disease outbreaks and assess the effectiveness of treatments. By analyzing these statistics (统计数据), researchers can identify trends and make predictions that ultimately improve public health outcomes.Moreover, statistics (统计数据) are vital in academic research. Scholars use them to support their hypotheses and validate their findings. A well-conducted study will present its statistics (统计数据) transparently, allowing others to replicate the research and verify the results. This process is essential for the advancement of knowledge across disciplines.However, it is important to approach statistics (统计数据) critically. Misinterpretation or manipulation of statistics (统计数据) can lead to misleading conclusions. For example, a statistic (统计数据) might show a correlation between two variables, but this does not imply causation. It is crucial to consider the context and methodology behind the data collection. Understanding the limitations of statistics (统计数据) helps prevent the spread of misinformation, particularly in today’s digital age where data is abundant yet sometimes unreliable.In conclusion, statistics (统计数据) are an essential tool for interpreting the complexities of our world. They aid in decision-making, enhance our understanding of various phenomena, and contribute to scientific progress. However, it is equally important to maintain a critical perspective when dealing with statistics (统计数据), ensuring that we use them responsibly and accurately. As we continue to navigate an increasingly data-driven society, the ability to understand and apply statistics (统计数据) will be paramount for individuals and organizations alike.

统计在我们理解世界中起着至关重要的作用。它们为我们提供了一种量化信息和分析数据的手段，使复杂现象变得更加易于理解。一个statistic（统计数据）本质上是一个数值，代表从数据收集和分析中得出的信息。例如，当我们查看一个国家的人口增长时，我们通常会参考特定的statistics（统计数据），表明在某一时期内增加了多少人。这使得政策制定者能够就资源分配和基础设施发展做出明智的决定。在经济学、医疗保健和社会科学等各个领域，statistics（统计数据）都是不可或缺的。经济学家依靠statistics（统计数据）来评估经济的健康状况，使用如GDP增长率和失业率等数字。在医疗保健方面，statistics（统计数据）帮助追踪疾病爆发并评估治疗效果。通过分析这些statistics（统计数据），研究人员可以识别趋势并做出预测，最终改善公共健康结果。此外，statistics（统计数据）在学术研究中至关重要。学者们使用它们来支持他们的假设并验证他们的发现。一项良好的研究将透明地呈现其statistics（统计数据），允许其他人复制研究并验证结果。这个过程对于各学科知识的进步至关重要。然而，批判性地看待statistics（统计数据）也很重要。对statistics（统计数据）的误解或操纵可能导致误导性的结论。例如，一个statistic（统计数据）可能显示两个变量之间的相关性，但这并不意味着因果关系。考虑数据收集的背景和方法论至关重要。理解statistics（统计数据）的局限性有助于防止错误信息的传播，特别是在当今数据丰富但有时不可靠的数字时代。总之，statistics（统计数据）是解释我们世界复杂性的基本工具。它们有助于决策，增强我们对各种现象的理解，并促进科学进步。然而，在处理statistics（统计数据）时保持批判性视角同样重要，确保我们负责任和准确地使用它们。随着我们继续在一个日益数据驱动的社会中航行，理解和应用statistics（统计数据）的能力对个人和组织来说都将是至关重要的。