indicative figure
简明释义
指示性数字
英英释义
An indicative figure is a numerical value that serves as a representation or estimate of a larger trend or pattern, often used to provide insight or guidance. | 指示性数字是一个数值,用于表示或估计更大趋势或模式,通常用于提供见解或指导。 |
例句
1.According to the survey, the indicative figure 指示性数字 for customer satisfaction is around 85%.
根据调查,客户满意度的指示性数字 指示性数字约为85%。
2.We need an indicative figure 指示性数字 to estimate the potential market size.
我们需要一个指示性数字 指示性数字来估算潜在市场规模。
3.The indicative figure 指示性数字 for the project's budget was set at $500,000.
该项目预算的指示性数字 指示性数字定为50万美元。
4.The indicative figure 指示性数字 for average sales growth over the past year is 15%.
过去一年平均销售增长的指示性数字 指示性数字为15%。
5.The company reported an indicative figure 指示性数字 of 10,000 new users this quarter.
公司报告了本季度新增用户的指示性数字 指示性数字为10,000。
作文
In the world of data analysis and statistics, the term indicative figure plays a crucial role in interpreting various phenomena. An indicative figure refers to a numerical value or statistic that provides insight into a particular trend or pattern within a dataset. These figures are not just random numbers; they serve as benchmarks that help analysts and researchers gauge the performance or status of a subject matter. For instance, when analyzing economic growth, an indicative figure such as the Gross Domestic Product (GDP) growth rate is often used to assess the health of an economy. Understanding the significance of indicative figures can greatly enhance our comprehension of complex issues. In the field of education, for example, standardized test scores are considered indicative figures that reflect the effectiveness of teaching methods and student learning outcomes. By examining these scores, educators can identify areas that need improvement and implement strategies to enhance educational quality. Moreover, indicative figures are essential in the realm of public health. Statistics such as infection rates or vaccination coverage can indicate the success of health interventions. For instance, during a pandemic, the number of new cases reported daily serves as an indicative figure that informs government decisions regarding lockdowns or other preventive measures. This highlights how these figures can influence policy-making and public behavior. However, it is important to approach indicative figures with a critical mindset. While they provide valuable insights, they may also be subject to misinterpretation. For example, a rise in crime rates might be seen as a negative trend, but it could also indicate improved reporting mechanisms or increased police activity. Therefore, context is key when evaluating indicative figures. Analysts must consider various factors that could affect the data to avoid drawing misleading conclusions. In conclusion, indicative figures are vital tools in various fields, providing essential insights that guide decision-making and strategy development. Whether in economics, education, or public health, understanding these figures allows us to interpret trends accurately and make informed choices. As we continue to navigate an increasingly data-driven world, the ability to analyze and understand indicative figures will remain an invaluable skill. Through careful examination and contextual understanding, we can harness the power of data to foster positive change in society.
在数据分析和统计的世界中,术语indicative figure在解释各种现象中发挥着至关重要的作用。indicative figure指的是一个数值或统计数据,它提供了对数据集中某一趋势或模式的洞察。这些数字不仅仅是随机的数字;它们作为基准,帮助分析师和研究人员评估主题的表现或状态。例如,在分析经济增长时,国内生产总值(GDP)增长率这样的indicative figure通常用来评估经济的健康状况。理解indicative figures的重要性可以大大增强我们对复杂问题的理解。在教育领域,例如,标准化考试分数被视为indicative figures,反映了教学方法的有效性和学生学习成果。通过检查这些分数,教育工作者可以识别需要改进的领域,并实施策略以提高教育质量。此外,indicative figures在公共卫生领域也是必不可少的。感染率或疫苗接种覆盖率等统计数据可以表明健康干预的成功。例如,在疫情期间,每日新病例报告数量作为indicative figure,为政府关于封锁或其他预防措施的决策提供信息。这突显了这些数字如何影响政策制定和公众行为。然而,以批判的心态看待indicative figures是很重要的。虽然它们提供了有价值的见解,但也可能受到误解。例如,犯罪率的上升可能被视为负面趋势,但它也可能表明报告机制的改善或警察活动的增加。因此,在评估indicative figures时,上下文是关键。分析师必须考虑可能影响数据的各种因素,以避免得出误导性结论。总之,indicative figures是各个领域的重要工具,提供了指导决策和战略发展的基本见解。无论是在经济、教育还是公共卫生领域,理解这些数字使我们能够准确解读趋势并做出明智的选择。随着我们继续在一个越来越以数据驱动的世界中导航,分析和理解indicative figures的能力将始终是一项宝贵的技能。通过仔细的审查和上下文理解,我们可以利用数据的力量促进社会的积极变化。
相关单词