consistent statistic

简明释义

一致统计量

英英释义

例句

1.In our quarterly report, we highlighted a consistent statistic 一致的统计数据 indicating a 10% increase in sales year over year.

在我们的季度报告中，我们强调了一个一致的统计数据 一致的统计数据，表明销售额同比增长了10%。

2.Our analysis showed a consistent statistic 一致的统计数据 regarding customer satisfaction, remaining above 90% for the last three years.

我们的分析显示，关于客户满意度的一致的统计数据 一致的统计数据在过去三年中保持在90%以上。

3.The research team found a consistent statistic 一致的统计数据 that supports the effectiveness of the new drug across multiple trials.

研究小组发现了一个一致的统计数据 一致的统计数据，支持新药在多个试验中的有效性。

4.The survey revealed a consistent statistic 一致的统计数据 showing that 75% of participants prefer online shopping.

调查显示，一致的统计数据 一致的统计数据表明75%的参与者更喜欢在线购物。

5.The marketing department reported a consistent statistic 一致的统计数据 that engagement rates have doubled since the campaign launched.

市场部门报告了一个一致的统计数据 一致的统计数据，自活动开始以来，参与率翻了一番。

作文

In the realm of data analysis and research, the term consistent statistic refers to a statistical measure that remains stable and reliable across different samples or observations. This concept is crucial for researchers and analysts as it lends credibility to their findings and conclusions. When we talk about a consistent statistic, we are essentially discussing a value that does not fluctuate wildly with varying data sets but instead provides a dependable insight into the phenomenon being studied.For instance, consider a study examining the average height of adult males in a particular country. If researchers conduct multiple surveys over time and consistently find that the average height hovers around 175 cm, this average can be deemed a consistent statistic. Such consistency suggests that the measurement is reliable and that the average height is a true reflection of the population's characteristics.On the other hand, if the surveys yield results that vary significantly—one month showing an average height of 170 cm and another month showing 180 cm—then the average height cannot be classified as a consistent statistic. This inconsistency raises questions about the methodology used in gathering data or indicates that external factors may be influencing the results.The importance of consistent statistics is particularly evident in fields such as economics, healthcare, and social sciences. For example, policymakers rely on economic indicators like unemployment rates and inflation rates to make informed decisions. If these indicators are consistent statistics, they provide a solid foundation for developing policies that aim to improve the economy. Conversely, if these statistics are erratic, it becomes challenging to formulate effective strategies, as the underlying trends remain unclear.Moreover, in the healthcare sector, consistent statistics regarding disease prevalence can guide public health initiatives. If a region reports a consistent statistic indicating a rise in diabetes cases over several years, health authorities can implement targeted interventions to address this growing concern. However, if the data fluctuates significantly, it may lead to misallocation of resources and ineffective health programs.In academic research, the presence of consistent statistics enhances the validity of the study. Researchers often conduct meta-analyses, which involve synthesizing results from multiple studies. When these studies report consistent statistics, it strengthens the overall conclusions drawn from the research. This is vital for building a body of knowledge that others can trust and build upon.In conclusion, understanding the concept of consistent statistics is essential for anyone involved in data analysis or research. It underscores the importance of reliability and stability in statistical measures, which ultimately contributes to sound decision-making in various fields. As we navigate a world increasingly driven by data, recognizing and valuing consistent statistics will be pivotal in ensuring that our conclusions are not only accurate but also actionable. By prioritizing the identification and utilization of consistent statistics, we can enhance our understanding of complex issues and foster meaningful progress in society.

在数据分析和研究领域，术语一致统计指的是在不同样本或观察中保持稳定和可靠的统计度量。这个概念对研究人员和分析师至关重要，因为它为他们的发现和结论提供了可信度。当我们谈论一致统计时，我们实际上是在讨论一个不会因不同数据集而剧烈波动的值，而是为所研究现象提供可靠的洞察。例如，考虑一项研究，该研究考察某个国家成年男性的平均身高。如果研究人员在一段时间内进行多次调查，并且始终发现平均身高徘徊在175厘米左右，那么这个平均值可以被视为一致统计。这种一致性表明测量是可靠的，平均身高是真实反映人口特征的。另一方面，如果调查结果显著变化——一个月显示平均身高为170厘米，而另一个月显示180厘米——那么平均身高就不能被归类为一致统计。这种不一致性引发了对数据收集方法的质疑，或者表明外部因素可能影响了结果。一致统计的重要性在经济学、医疗保健和社会科学等领域尤为明显。例如，政策制定者依赖于失业率和通货膨胀率等经济指标来做出明智的决策。如果这些指标是一致统计，它们为制定旨在改善经济的政策提供了坚实的基础。相反，如果这些统计数据不稳定，就很难制定有效的策略，因为潜在的趋势仍然不明确。此外，在医疗保健领域，关于疾病流行程度的一致统计可以指导公共卫生倡议。如果某个地区报告了一项一致统计，表明糖尿病病例在几年内上升，卫生当局可以实施针对性的干预措施来应对这一日益严重的问题。然而，如果数据波动显著，可能导致资源分配不当和卫生项目无效。在学术研究中，一致统计的存在增强了研究的有效性。研究人员经常进行荟萃分析，这涉及综合多项研究的结果。当这些研究报告一致统计时，它加强了从研究得出的总体结论。这对于建立一个其他人可以信任并加以利用的知识体系至关重要。总之，理解一致统计的概念对任何参与数据分析或研究的人来说都是至关重要的。它强调了统计度量中可靠性和稳定性的重要性，这最终有助于各个领域的明智决策。随着我们在一个越来越依赖数据的世界中航行，识别和重视一致统计将对确保我们的结论不仅准确而且可操作至关重要。通过优先识别和利用一致统计，我们可以增强对复杂问题的理解，并促进社会的有意义进步。