static statistics

简明释义

静态统计

英英释义

例句

1.For the annual review, we need to compile static statistics 静态统计数据 from various departments.

为了年度审查，我们需要从各个部门汇总静态统计数据。

2.The dashboard displays static statistics 静态统计数据 that help us track our progress over time.

仪表板显示的静态统计数据帮助我们跟踪我们的进展。

3.The report provided static statistics 静态统计数据 on last year's sales performance.

该报告提供了关于去年销售业绩的静态统计数据。

4.In our meeting, we discussed the static statistics 静态统计数据 regarding customer demographics.

在我们的会议上，我们讨论了关于客户人口统计的静态统计数据。

5.The research paper included static statistics 静态统计数据 to support its findings.

这篇研究论文包括了静态统计数据以支持其发现。

作文

In today's data-driven world, the term static statistics refers to data that remains unchanged over a specific period. These statistics are often used in various fields such as economics, sociology, and healthcare to provide insights into trends and patterns. Unlike dynamic statistics, which reflect real-time changes and fluctuations, static statistics offer a snapshot of information at a particular moment. This distinction is crucial for researchers and analysts who must choose the appropriate type of data to support their findings.For instance, when analyzing a country's population demographics, static statistics might include the total population count, age distribution, or gender ratio at a given year. These figures can help policymakers understand the current state of the population but do not account for changes that may occur in subsequent years. Therefore, while static statistics can provide valuable insights, they must be interpreted carefully within the context of time.Moreover, static statistics can sometimes mislead if taken out of context. Consider a scenario where a city reports a significant drop in crime rates based on static statistics from the previous year. While this information might suggest that the city is becoming safer, it does not consider factors such as seasonal variations in crime or recent policy changes that may have influenced these numbers. Thus, relying solely on static statistics without considering dynamic elements can lead to an incomplete understanding of the situation.In the field of business, companies often utilize static statistics to evaluate their performance over time. For example, annual sales figures, customer satisfaction ratings, and employee turnover rates are all examples of static statistics that companies analyze to make strategic decisions. By reviewing these statistics, businesses can identify areas of strength and weakness, allowing them to develop targeted strategies for improvement. However, it is essential for businesses to complement these static statistics with more current data to capture ongoing trends and shifts in consumer behavior.Furthermore, the use of static statistics can extend to educational settings, where educators assess student performance through standardized test scores or graduation rates. These statistics provide a clear picture of student achievement at a specific point in time. However, educators must also consider various factors that influence these results, such as socioeconomic status, access to resources, and changes in curriculum. By integrating static statistics with qualitative data and ongoing assessments, educators can create a more comprehensive understanding of student learning and development.In conclusion, while static statistics serve as a fundamental tool in data analysis, they must be utilized judiciously. Understanding their limitations and the context in which they are presented is critical for making informed decisions. As we navigate an increasingly complex world filled with data, the ability to discern between static statistics and dynamic information will empower individuals and organizations to leverage insights effectively and responsibly.

在当今数据驱动的世界中，术语静态统计数据指的是在特定时间段内保持不变的数据。这些统计数据通常用于经济学、社会学和医疗保健等多个领域，以提供对趋势和模式的洞察。与反映实时变化和波动的动态统计数据不同，静态统计数据提供了特定时刻信息的快照。这一区别对研究人员和分析师至关重要，因为他们必须选择适当类型的数据来支持其发现。例如，在分析一个国家的人口人口统计时，静态统计数据可能包括总人口数、年龄分布或某一年性别比例。这些数字可以帮助政策制定者理解当前人口状况，但并未考虑随后的年份可能发生的变化。因此，尽管静态统计数据可以提供有价值的见解，但必须在时间的背景下谨慎解读。此外，如果脱离上下文使用，静态统计数据有时会导致误导。考虑这样的情境：一个城市基于前一年的静态统计数据报告犯罪率显著下降。虽然这些信息可能表明该城市变得更安全，但它并未考虑季节性犯罪变化或最近政策变化可能对这些数字产生的影响。因此，仅依靠静态统计数据而不考虑动态因素，会导致对情况的不完整理解。在商业领域，公司经常利用静态统计数据来评估其绩效。例如，年度销售额、客户满意度评分和员工流失率都是公司分析的静态统计数据示例。通过审查这些统计数据，企业可以识别出优势和劣势，从而制定针对性的改进战略。然而，企业必须将这些静态统计数据与最新数据相结合，以捕捉持续的趋势和消费者行为的变化。此外，静态统计数据的使用还扩展到教育环境，教育工作者通过标准化测试成绩或毕业率来评估学生表现。这些统计数据提供了特定时间点学生成就的清晰图景。然而，教育工作者还必须考虑影响这些结果的各种因素，如社会经济地位、资源获取和课程变化。通过将静态统计数据与定性数据和持续评估结合起来，教育工作者可以创建对学生学习和发展的更全面理解。总之，虽然静态统计数据作为数据分析的基本工具，但必须谨慎使用。理解其局限性及其呈现的上下文对于做出明智的决策至关重要。在我们应对充满数据的日益复杂的世界时，能够区分静态统计数据和动态信息的能力将使个人和组织能够有效和负责任地利用见解。