systematic statistic

简明释义

系统统计量

英英释义

例句

1.The research team conducted a thorough analysis using a systematic statistic 系统统计 approach to ensure accuracy.

研究团队采用了彻底的分析，使用了系统统计 系统统计方法以确保准确性。

2.In order to improve our marketing strategy, we need to gather systematic statistic 系统统计 data on customer preferences.

为了改进我们的营销策略，我们需要收集关于客户偏好的系统统计 系统统计数据。

3.The government released a systematic statistic 系统统计 report on the unemployment rates in the region.

政府发布了一份关于该地区失业率的系统统计 系统统计报告。

4.Using systematic statistic 系统统计 techniques can help identify trends over time.

使用系统统计 系统统计技术可以帮助识别随时间变化的趋势。

5.To validate our findings, we relied on systematic statistic 系统统计 methods for data collection.

为了验证我们的发现，我们依赖于系统统计 系统统计方法进行数据收集。

作文

In the realm of research and data analysis, the term systematic statistic refers to a methodical approach to gathering, analyzing, and interpreting data. This concept is crucial for ensuring that the findings of any study are reliable and valid. A systematic statistic involves carefully planning the data collection process, utilizing appropriate tools and techniques, and applying rigorous analytical methods to derive meaningful conclusions.To illustrate the importance of systematic statistic, consider a public health study aimed at understanding the effects of a new vaccine on a population. Researchers must first define their objectives clearly, such as determining the vaccine's efficacy and safety. They then develop a systematic approach to collect data from a representative sample of the population, ensuring that the sample size is adequate and that it reflects the diversity of the community.Once the data is collected, researchers employ systematic statistic methods to analyze the results. This could involve using statistical software to perform calculations, such as determining the mean, median, and standard deviation of the data. Furthermore, they may conduct hypothesis testing to ascertain whether the observed effects of the vaccine are statistically significant.The role of systematic statistic does not end with data analysis. It extends to the interpretation of results. Researchers must contextualize their findings within the broader scope of existing literature and public health policies. By doing so, they can provide insights that are not only statistically sound but also practically applicable in real-world scenarios.Moreover, the use of systematic statistic enhances the credibility of research. When studies follow a structured methodology, they are more likely to be replicated by other researchers, which is a fundamental aspect of scientific inquiry. Replicability ensures that findings are not merely coincidental but rather reflect true relationships within the data.In addition to its application in public health, systematic statistic is relevant across various fields, including economics, education, and social sciences. For instance, in education, researchers might use systematic statistic to evaluate the effectiveness of teaching methods by systematically collecting and analyzing student performance data. This allows educators to make informed decisions about curriculum development and instructional strategies.In conclusion, the significance of systematic statistic cannot be overstated. It is a foundational element of credible research that ensures data is collected and analyzed in a structured manner. By employing systematic statistic techniques, researchers can draw valid conclusions that contribute to knowledge advancement and inform policy-making. As we continue to navigate an increasingly data-driven world, the principles of systematic statistic will remain essential for fostering understanding and driving progress in various domains.

在研究和数据分析领域，术语系统统计指的是一种有条理的方法，用于收集、分析和解释数据。这个概念对于确保任何研究的发现都是可靠和有效的至关重要。系统统计涉及仔细规划数据收集过程，利用适当的工具和技术，并应用严格的分析方法来得出有意义的结论。为了说明系统统计的重要性，考虑一个公共卫生研究，旨在了解新疫苗对人群的影响。研究人员必须首先明确他们的目标，例如确定疫苗的有效性和安全性。然后，他们制定系统的方法，从代表性样本中收集数据，确保样本量足够，并且反映社区的多样性。一旦数据收集完成，研究人员就会采用系统统计方法来分析结果。这可能涉及使用统计软件进行计算，例如确定数据的均值、中位数和标准差。此外，他们可能会进行假设检验，以确定疫苗的观察效果是否具有统计显著性。系统统计的作用并不仅限于数据分析。它延伸到结果的解释。研究人员必须将他们的发现置于现有文献和公共卫生政策的更广泛背景中。通过这样做，他们可以提供不仅在统计上合理，而且在现实世界场景中适用的见解。此外，使用系统统计增强了研究的可信度。当研究遵循结构化的方法时，它们更有可能被其他研究人员复制，这是科学探究的基本方面。可复制性确保发现不仅仅是偶然的，而是反映数据中的真实关系。除了在公共卫生中的应用，系统统计在经济学、教育学和社会科学等各个领域也相关。例如，在教育中，研究人员可能会使用系统统计来评估教学方法的有效性，通过系统地收集和分析学生表现数据。这使教育工作者能够就课程开发和教学策略做出明智的决策。总之，系统统计的重要性不容小觑。它是可信研究的基础元素，确保数据以结构化的方式收集和分析。通过采用系统统计技术，研究人员可以得出有效的结论，为知识的进步和政策制定提供信息。随着我们继续在一个越来越数据驱动的世界中航行，系统统计的原则将仍然是推动各个领域理解和进步的关键。