compilation of statistics

简明释义

编制统计

英英释义

例句

1.The health department provided a compilation of statistics 统计数据汇编 about vaccination rates in the region.

卫生部门提供了该地区疫苗接种率的统计数据汇编。

2.The government released a new compilation of statistics 统计数据汇编 regarding unemployment rates in the last quarter.

政府发布了关于上个季度失业率的新统计数据汇编。

3.A compilation of statistics 统计数据汇编 on climate change is essential for policymakers.

关于气候变化的统计数据汇编对政策制定者至关重要。

4.Researchers often rely on a compilation of statistics 统计数据汇编 to support their findings.

研究人员常常依赖于统计数据汇编来支持他们的研究结果。

5.The annual report includes a detailed compilation of statistics 统计数据汇编 on the company’s performance.

年度报告包括公司业绩的详细统计数据汇编。

作文

The importance of data in today's world cannot be overstated. In various fields, from business to healthcare, the ability to analyze and interpret data is crucial for making informed decisions. One key aspect of this process is the compilation of statistics, which refers to the systematic gathering and organizing of numerical data to present it in a meaningful way. This practice not only aids in understanding trends and patterns but also provides a solid foundation for research and policy-making.In the realm of business, companies rely heavily on the compilation of statistics to evaluate their performance and strategize for growth. For instance, sales data is collected and analyzed to determine which products are performing well and which are not. By examining this statistical information, businesses can identify market trends, customer preferences, and areas for improvement. Moreover, the compilation of statistics allows businesses to forecast future sales and make data-driven decisions that align with their goals.Similarly, in the field of healthcare, the compilation of statistics plays a vital role in understanding public health trends and improving patient care. Health organizations collect data on various health indicators, such as disease prevalence, treatment outcomes, and patient demographics. This information is then analyzed to identify health disparities, track the effectiveness of interventions, and inform policy decisions. For example, during the COVID-19 pandemic, the compilation of statistics related to infection rates, vaccination coverage, and hospitalizations has been essential for guiding public health responses and allocating resources effectively.Education is another area where the compilation of statistics is invaluable. Schools and educational institutions gather data on student performance, attendance, and graduation rates to assess the effectiveness of their programs. This statistical analysis helps educators identify at-risk students, evaluate teaching methods, and implement targeted interventions to improve learning outcomes. Furthermore, policymakers use this data to allocate funding and resources to schools that need them the most, ensuring that all students have access to quality education.However, it is important to recognize that the compilation of statistics is not without its challenges. Data collection can be time-consuming and costly, and there is always the risk of errors or biases in the data. Additionally, the interpretation of statistics requires a level of expertise; misinterpretation can lead to misguided conclusions and decisions. Therefore, it is crucial for organizations to employ skilled analysts who can ensure the accuracy and integrity of the data being compiled.In conclusion, the compilation of statistics is a fundamental process that underpins decision-making across various sectors. Whether in business, healthcare, or education, the ability to gather, analyze, and interpret data is essential for understanding complex issues and driving positive change. As we continue to navigate an increasingly data-driven world, the importance of effective statistical compilation and analysis will only grow, highlighting the need for continued investment in data literacy and analytical skills. Ultimately, the successful use of statistics can lead to better outcomes for individuals and society as a whole.

在当今世界中，数据的重要性不容小觑。在商业、医疗等各个领域，分析和解释数据的能力对于做出明智的决策至关重要。这个过程的一个关键方面是统计数据的汇编，指的是系统地收集和组织数字数据，以以有意义的方式呈现它。这一实践不仅有助于理解趋势和模式，还为研究和政策制定提供了坚实的基础。在商业领域，公司在评估业绩和制定增长战略时非常依赖统计数据的汇编。例如，销售数据被收集和分析，以确定哪些产品表现良好，哪些产品则不然。通过检查这些统计信息，企业可以识别市场趋势、客户偏好和改进领域。此外，统计数据的汇编使企业能够预测未来销售，并做出与其目标一致的数据驱动决策。同样，在医疗领域，统计数据的汇编在了解公共健康趋势和改善患者护理方面发挥着至关重要的作用。卫生组织收集有关各种健康指标的数据，例如疾病流行率、治疗结果和患者人口统计。这些信息随后被分析，以识别健康差距、跟踪干预措施的有效性并告知政策决策。例如，在COVID-19大流行期间，关于感染率、疫苗接种覆盖率和住院人数的统计数据的汇编对于指导公共卫生响应和有效分配资源至关重要。教育是另一个统计数据的汇编极为重要的领域。学校和教育机构收集学生表现、出勤率和毕业率的数据，以评估其项目的有效性。这一统计分析帮助教育工作者识别处于风险中的学生、评估教学方法并实施针对性的干预措施，以改善学习成果。此外，政策制定者利用这些数据来向最需要的学校分配资金和资源，确保所有学生都能接受优质教育。然而，重要的是要认识到，统计数据的汇编并非没有挑战。数据收集可能耗时且成本高昂，并且数据中始终存在错误或偏见的风险。此外，统计数据的解释需要一定的专业知识；误解可能导致误导性的结论和决策。因此，组织雇用熟练的分析师来确保所汇编数据的准确性和完整性至关重要。总之，统计数据的汇编是支撑各个行业决策的基本过程。无论是在商业、医疗还是教育领域，收集、分析和解释数据的能力对于理解复杂问题和推动积极变化至关重要。随着我们继续在一个日益以数据驱动的世界中导航，有效的统计汇编和分析的重要性只会增加，这突显了对数据素养和分析技能持续投资的必要性。最终，统计数据的成功使用可以为个人和整个社会带来更好的结果。