statistical figure

简明释义

统计数字

英英释义

例句

1.The statistical figure 统计数据 presented in the study highlights the disparities in education access.

研究中呈现的统计数据 统计数据突出了教育获取的不平等。

2.Researchers often rely on statistical figures 统计数据 to draw conclusions about public health trends.

研究人员通常依赖于统计数据 统计数据来得出关于公共健康趋势的结论。

3.In our presentation, we will analyze the statistical figure 统计数据 related to customer satisfaction.

在我们的演示中，我们将分析与客户满意度相关的统计数据 统计数据。

4.The statistical figure 统计数据 for average income has risen steadily over the last decade.

过去十年，平均收入的统计数据 统计数据稳步上升。

5.The latest report showed a significant increase in the statistical figure 统计数据 for unemployment rates over the past year.

最新报告显示，过去一年失业率的统计数据 统计数据显著上升。

作文

In today's data-driven world, the importance of understanding various concepts related to statistics cannot be overstated. One such concept is the statistical figure, which refers to a numerical value or representation that conveys information about a particular phenomenon or dataset. These figures are crucial in various fields, including economics, healthcare, and social sciences, as they help researchers and policymakers make informed decisions based on empirical evidence.For instance, in the field of economics, a statistical figure like the unemployment rate provides insight into the health of a country's labor market. A rising unemployment rate may indicate economic distress, prompting governments to implement policies aimed at job creation. Conversely, a declining unemployment rate can signal economic growth and stability. By analyzing these statistical figures, economists can better understand trends and forecast future developments.Similarly, in healthcare, statistical figures play a vital role in tracking disease outbreaks and assessing public health initiatives. For example, the incidence rate of a particular disease can help public health officials determine the effectiveness of vaccination programs. If the statistical figure shows a decrease in cases following a vaccination campaign, it can be concluded that the program is successful. On the other hand, if the rate remains unchanged or increases, it may necessitate a reevaluation of the strategies employed.Social sciences also rely heavily on statistical figures to analyze human behavior and societal trends. Surveys and polls often yield statistical figures that reflect public opinion on various issues, from political preferences to social attitudes. Understanding these figures allows researchers to draw conclusions about societal changes and the factors driving them. For instance, a statistical figure indicating a rise in support for renewable energy sources might suggest a growing awareness of environmental issues among the population.However, it is essential to approach statistical figures with a critical mindset. Misinterpretation or misuse of these figures can lead to misleading conclusions. For example, a statistical figure showing a correlation between two variables does not imply causation. It is crucial to consider other factors that may influence the relationship between the variables in question. Therefore, a comprehensive understanding of the context in which a statistical figure is presented is necessary to avoid drawing erroneous conclusions.Moreover, the presentation of statistical figures can also impact their interpretation. Visual representations, such as graphs and charts, can make complex data more accessible and easier to understand. However, poorly designed visuals can distort the information being conveyed. Thus, it is important for both researchers and consumers of data to be aware of how statistical figures are presented and to critically evaluate their implications.In conclusion, statistical figures are fundamental tools in various fields that provide valuable insights into trends and phenomena. Whether in economics, healthcare, or social sciences, these figures help inform decision-making and shape public policy. However, it is vital to approach them with a critical eye, considering the context and presentation to ensure accurate interpretation. As we continue to navigate an increasingly data-centric world, the ability to understand and utilize statistical figures will remain an essential skill for individuals and professionals alike.

在当今数据驱动的世界中，理解与统计相关的各种概念的重要性不容小觑。其中一个概念是统计数字，它指的是传达特定现象或数据集信息的数值或表示。这些数字在经济学、医疗保健和社会科学等多个领域至关重要，因为它们帮助研究人员和决策者基于实证证据做出明智的决定。例如，在经济学领域，统计数字如失业率提供了有关国家劳动市场健康状况的洞察。上升的失业率可能表明经济困境，促使政府实施旨在创造就业机会的政策。相反，失业率的下降可以表明经济增长和稳定。通过分析这些统计数字，经济学家可以更好地理解趋势并预测未来的发展。同样，在医疗保健领域，统计数字在追踪疾病爆发和评估公共卫生倡议方面发挥着至关重要的作用。例如，某种疾病的发病率可以帮助公共卫生官员确定疫苗接种计划的有效性。如果统计数字显示在疫苗接种活动后病例减少，可以得出该计划成功的结论。另一方面，如果该比例保持不变或增加，可能需要重新评估所采用的策略。社会科学也在很大程度上依赖于统计数字来分析人类行为和社会趋势。调查和民意调查通常产生反映公众对各种问题看法的统计数字，从政治偏好到社会态度。理解这些数字使研究人员能够得出关于社会变化及其驱动因素的结论。例如，某个统计数字显示对可再生能源支持的上升可能表明公众对环境问题意识的提高。然而，重要的是以批判性的思维方式看待统计数字。对这些数字的误解或误用可能导致误导性的结论。例如，显示两个变量之间相关性的统计数字并不意味着因果关系。考虑可能影响变量之间关系的其他因素至关重要。因此，全面理解统计数字呈现的背景是避免得出错误结论的必要条件。此外，统计数字的呈现方式也会影响其解释。图形和图表等视觉表现可以使复杂数据更易于访问和理解。然而，设计不良的视觉效果可能扭曲所传达的信息。因此，研究人员和数据消费者都应意识到统计数字的呈现方式，并批判性地评估其含义。总之，统计数字是各个领域的基本工具，为趋势和现象提供了宝贵的见解。无论是在经济学、医疗保健还是社会科学中，这些数字都有助于信息决策和塑造公共政策。然而，重要的是以批判的眼光看待它们，考虑上下文和呈现方式，以确保准确的解释。随着我们继续在一个日益数据中心化的世界中航行，理解和利用统计数字的能力将仍然是个人和专业人士必不可少的技能。