statistical system; system of statistics

简明释义

统计制度

英英释义

例句

1.A robust statistical system can enhance the reliability of research findings.

一个强大的统计系统可以提高研究结果的可靠性。

2.The government is implementing a new statistical system to improve data collection methods.

政府正在实施一个新的统计系统以改善数据收集方法。

3.To analyze the survey results, we need to refine our statistical system for better accuracy.

为了分析调查结果，我们需要优化我们的统计系统以提高准确性。

4.The system of statistics used in this project helps us understand market trends.

本项目中使用的统计系统帮助我们理解市场趋势。

5.Our research relies heavily on the system of statistics established by previous studies.

我们的研究在很大程度上依赖于之前研究建立的统计系统。

作文

In today's data-driven world, the importance of a robust statistical system; system of statistics cannot be overstated. A statistical system; system of statistics is essentially a framework that collects, analyzes, and interprets quantitative data to inform decision-making processes across various sectors, including government, healthcare, education, and business. This system allows for the transformation of raw data into meaningful insights that can guide policy and strategy. To understand the significance of a statistical system; system of statistics, we must first recognize its foundational role in research and analysis. For instance, consider a public health department aiming to assess the spread of a disease within a community. By employing a well-structured statistical system; system of statistics, health officials can gather data on infection rates, demographics, and social behaviors. This information is vital for developing effective intervention strategies and allocating resources appropriately. Without such a system, decisions would be based on anecdotal evidence rather than empirical data, leading to potentially harmful outcomes.Moreover, a statistical system; system of statistics enhances transparency and accountability. In governmental operations, statistical data can provide a clear picture of how public funds are being utilized and the impact of various programs. This transparency is crucial for maintaining public trust and ensuring that resources are directed towards initiatives that yield the highest benefit to society. For example, by analyzing educational statistics, policymakers can identify schools that are underperforming and implement targeted support measures to improve student outcomes.In the business realm, companies rely heavily on a statistical system; system of statistics to drive their strategies. Market research, customer feedback, and sales data are all analyzed using statistical methods to uncover trends and forecast future performance. This data-driven approach enables businesses to make informed decisions about product development, marketing strategies, and customer engagement. For instance, a company might use statistical analysis to determine which products are most popular among different demographic groups, allowing them to tailor their offerings accordingly.Furthermore, the rise of big data has revolutionized the way we think about statistical systems; systems of statistics. With the ability to collect vast amounts of data from various sources, organizations now have unprecedented access to information. However, this also presents challenges, as the sheer volume of data can be overwhelming. A sophisticated statistical system; system of statistics is essential for filtering through this data, identifying relevant patterns, and drawing actionable conclusions. Machine learning algorithms and advanced statistical techniques are increasingly being employed to enhance these systems, making them more efficient and effective.In conclusion, the role of a statistical system; system of statistics in modern society is indispensable. It provides the tools necessary for informed decision-making across diverse fields, promotes transparency and accountability, and adapts to the complexities of big data. As we move forward, the continued development and refinement of these systems will be crucial in addressing the challenges of our time, ensuring that we leverage data to create positive outcomes for individuals and communities alike.

在当今数据驱动的世界中，一个强大的统计系统；统计体系的重要性不容低估。统计系统；统计体系本质上是一个框架，用于收集、分析和解释定量数据，以告知政府、医疗保健、教育和商业等各个领域的决策过程。该系统能够将原始数据转化为有意义的见解，从而指导政策和战略。要理解统计系统；统计体系的重要性，首先必须认识到它在研究和分析中的基础性作用。例如，考虑一个公共卫生部门旨在评估某社区内疾病传播情况。通过采用结构良好的统计系统；统计体系，卫生官员可以收集感染率、人口统计和社会行为的数据。这些信息对于制定有效的干预策略和适当分配资源至关重要。如果没有这样的系统，决策将基于轶事证据，而不是实证数据，从而导致潜在的有害后果。此外，统计系统；统计体系增强了透明度和问责制。在政府运作中，统计数据可以清晰地展示公共资金的使用情况以及各种项目的影响。这种透明度对于维护公众信任和确保资源被用于产生最大社会效益的倡议至关重要。例如，通过分析教育统计数据，政策制定者可以识别表现不佳的学校，并实施针对性的支持措施以改善学生成果。在商业领域，公司也严重依赖于统计系统；统计体系来推动其战略。市场研究、客户反馈和销售数据都通过统计方法进行分析，以发现趋势和预测未来表现。这种数据驱动的方法使企业能够就产品开发、营销策略和客户参与做出明智的决策。例如，一家公司可能会利用统计分析来确定哪些产品在不同人口群体中最受欢迎，从而让他们能够相应地调整产品。此外，大数据的兴起彻底改变了我们对统计系统；统计体系的思考方式。借助于从各种来源收集大量数据的能力，组织现在可以获得前所未有的信息。然而，这也带来了挑战，因为数据的庞大体量可能令人不知所措。一个复杂的统计系统；统计体系对于过滤这些数据、识别相关模式并得出可操作结论至关重要。机器学习算法和先进的统计技术正越来越多地被用于增强这些系统，使其更加高效和有效。总之，统计系统；统计体系在现代社会中的角色不可或缺。它提供了在各个领域进行明智决策所需的工具，促进透明度和问责制，并适应大数据的复杂性。随着我们向前发展，这些系统的持续发展和完善对于解决我们时代的挑战至关重要，确保我们利用数据为个人和社区创造积极成果。