provisional figure

简明释义

暂计数

英英释义

例句

1.According to the latest statistics, the provisional figure for unemployment rates has slightly decreased.

根据最新统计，失业率的临时数字略有下降。

2.The provisional figure for sales in the first quarter shows a promising trend.

第一季度销售的临时数字显示出良好的趋势。

3.The report indicated that the provisional figure for the country's GDP growth is 3.5%.

报告指出，该国GDP增长的临时数字为3.5%。

4.We will publish the provisional figure for the budget deficit next week.

我们将在下周发布预算赤字的临时数字。

5.The provisional figure for the number of attendees at the conference was much higher than expected.

会议参加者的临时数字远高于预期。

作文

In the world of statistics and data analysis, the term provisional figure refers to a preliminary estimate that is subject to change as more information becomes available. This concept is particularly important in various fields such as economics, public health, and environmental studies, where accurate data is crucial for decision-making. For instance, when a government releases unemployment rates, these figures are often labeled as provisional figures because they may be revised later based on additional surveys or updated methodologies. Understanding provisional figures is essential for interpreting reports and studies accurately. Stakeholders, including policymakers, researchers, and the general public, must recognize that these numbers are not final and may fluctuate as new data emerges. This understanding helps to prevent misinterpretation and ensures that decisions are based on the most current and reliable information available. In economic contexts, provisional figures can indicate initial growth rates, inflation numbers, or GDP estimates. For example, a country might report a GDP growth rate of 3% as a provisional figure. As more comprehensive data from different sectors is collected, this figure might be adjusted to reflect a more accurate economic performance. This can have significant implications for investor confidence and economic policy. Similarly, in public health, provisional figures are commonly used during outbreaks or health emergencies. During the COVID-19 pandemic, for example, daily reported cases were often described as provisional figures due to delays in reporting and testing. These figures could change as more tests were processed, leading to a clearer picture of the outbreak's severity. Understanding that these numbers were provisional helped the public and authorities interpret the situation with a degree of caution and adaptability. Moreover, in environmental studies, provisional figures can represent initial assessments of pollution levels, wildlife populations, or climate data. Researchers may publish these figures to inform stakeholders about urgent issues while acknowledging that further research and data collection are necessary for a complete understanding. For instance, a study might report an increase in plastic waste in oceans as a provisional figure, indicating that ongoing research will refine these estimates over time. In conclusion, the term provisional figure plays a vital role in how we understand and interpret data across various fields. It emphasizes the importance of flexibility and ongoing analysis in data reporting. By recognizing that these figures are subject to revision, we can approach statistics with a critical eye, ensuring that our decisions are informed by the most accurate and up-to-date information. As we continue to navigate complex issues in society, the ability to discern between provisional and final figures will remain a crucial skill for all individuals engaged in data-driven discussions.

在统计和数据分析的世界中，术语provisional figure指的是一个初步估计，这个估计可能会随着更多信息的出现而发生变化。这个概念在经济学、公共卫生和环境研究等多个领域尤为重要，因为准确的数据对于决策至关重要。例如，当政府发布失业率时，这些数字通常被标记为provisional figures，因为它们可能会根据额外的调查或更新的方法进行修订。理解provisional figures对于准确解读报告和研究至关重要。利益相关者，包括政策制定者、研究人员和公众，必须认识到这些数字不是最终的，随着新数据的出现，它们可能会波动。这种理解有助于防止误解，并确保决策基于当前和可靠的信息。在经济背景下，provisional figures可以表示初步的增长率、通货膨胀数字或GDP估计。例如，一个国家可能报告其GDP增长率为3%，作为provisional figure。随着来自不同部门的更全面的数据收集，这一数字可能会被调整，以反映更准确的经济表现。这对投资者信心和经济政策有重大影响。同样，在公共卫生领域，provisional figures在疫情或健康紧急情况期间通常被使用。例如，在COVID-19大流行期间，每日报告的病例常常被描述为provisional figures，由于报告和检测的延迟。这些数字可能会随着更多测试的处理而发生变化，从而更清晰地描绘疫情的严重程度。理解这些数字是临时的，有助于公众和当局以谨慎和适应的姿态解读局势。此外，在环境研究中，provisional figures可以代表对污染水平、野生动物种群或气候数据的初步评估。研究人员可能会发布这些数字，以告知利益相关者紧迫的问题，同时承认进一步的研究和数据收集对于全面理解是必要的。例如，一项研究可能将海洋中塑料垃圾的增加报告为provisional figure，这表明后续研究将随着时间的推移完善这些估计。总之，术语provisional figure在我们理解和解释各个领域的数据时发挥着重要作用。它强调了在数据报告中灵活性和持续分析的重要性。通过认识到这些数字是可以修订的，我们能够以批判的眼光看待统计数据，确保我们的决策是基于最准确和最新的信息。在我们继续应对社会中的复杂问题时，区分临时数字和最终数字的能力将始终是所有参与数据驱动讨论的个人的重要技能。