statistical

简明释义

英[stəˈtɪstɪk(ə)l]美[stəˈtɪstɪkl]

adj. 统计的，统计学的

英英释义

单词用法

同义词

反义词

例句

1.Defenders of telepathy point out that demanding impressive evidence from every study ignores one basic statistical fact: it takes large samples to detect small effects.

心灵感应的辩护者指出，要求每一项研究都有令人印象深刻的证据，这忽略了一个基本的统计事实：需要大量的样本才能检测到微小的影响。

2.Professional scientists are expected to know how to analyze data, but statistical errors are alarmingly common in published research, according to David Vaux, a cell biologist.

细胞生物学家大卫·沃克斯表示，人们期望专业科学家知道如何分析数据，但令人担忧的是，在已发表的研究报告中，统计误差非常普遍。

3.The positive reaction rates to allergens among eczema, navel dermatitis and pompholyx had no statistical difference.

湿疹，肚脐皮炎和汗疱疹对过敏原的阳性反应率无统计学差异。

4.Given data which are free from bias there are further snares to avoid in statistical work.

就算这些数据不带任何偏见，但是统计工作中还有许多需要避免的陷阱。

5.The report contains a great deal of statistical information.

该报告包含大量统计资料。

6.Most journals are weak in statistical review, and this damages the quality of what they publish.

数据审查是大多数杂志的薄弱环节，而这会损害出版物的质量。

7.This is something that you're going to prove in statistical mechanics, and so we're not going to worry about where this comes from.

这是你们要在统计力学中证明的东西，所以我们不用担心这个从何而来。

8.More important, in a statistical twist, they may have actually benefited from the financial crisis in the most fundamental way: prolonged lives.

更重要的是，复杂的统计数据显示，他们其实已经以最根本的方式从金融危机中受益，即延长寿命。

9.She presented statistical 统计的 evidence to support her claims.

她提供了统计的证据来支持她的主张。

10.The report included various statistical 统计的 analyses of the data collected.

报告包括对收集的数据进行了各种统计的分析。

11.Understanding statistical 统计的 significance is crucial in scientific research.

理解统计的显著性在科学研究中至关重要。

12.The researcher used statistical 统计的 methods to analyze the survey data.

研究人员使用统计的方法来分析调查数据。

13.A statistical 统计的 model was created to predict future sales.

创建了一个统计的模型来预测未来的销售。

作文

In today's data-driven world, the importance of understanding statistical methods cannot be overstated. From business decisions to public policy, statistical analysis plays a crucial role in shaping our understanding of various phenomena. This essay will explore the significance of statistical analysis in different fields, illustrating its impact through practical examples.Firstly, in the field of medicine, statistical analysis is essential for determining the effectiveness of treatments and interventions. Clinical trials rely heavily on statistical methods to evaluate the safety and efficacy of new drugs. For instance, when researchers conduct a clinical trial for a new medication, they use statistical techniques to analyze patient outcomes, ensuring that the results are not due to chance. By applying statistical methods, medical professionals can make informed decisions about which treatments to recommend, ultimately improving patient care.Secondly, in the realm of economics, statistical analysis is fundamental for understanding market trends and making predictions. Economists utilize statistical models to analyze data from various sources, such as employment rates, inflation, and consumer spending. For example, during an economic downturn, statistical analysis can help identify patterns in unemployment rates, allowing policymakers to implement effective strategies to stimulate job growth. Without statistical analysis, it would be challenging to make sense of complex economic data, leading to misguided policies that could further exacerbate economic issues.Moreover, education is another area where statistical analysis plays a vital role. Schools and educational institutions use statistical data to assess student performance and improve teaching methods. By analyzing test scores and other metrics, educators can identify areas where students struggle and develop targeted interventions. For instance, if statistical analysis reveals that a significant number of students are underperforming in mathematics, schools can implement additional tutoring programs or revise their curriculum to address these gaps. This evidence-based approach enhances the overall quality of education.Additionally, businesses increasingly rely on statistical analysis to inform their strategies and operations. Companies collect vast amounts of data on consumer behavior, sales trends, and market conditions. By employing statistical techniques, businesses can uncover insights that drive decision-making. For example, a retail company may analyze statistical data to determine which products are most popular among customers, allowing them to optimize inventory and marketing efforts. In this way, statistical analysis not only helps businesses maximize profits but also enhances customer satisfaction by ensuring that popular products are readily available.In conclusion, the significance of statistical analysis in various fields cannot be underestimated. Whether in medicine, economics, education, or business, statistical methods provide valuable insights that guide decision-making and improve outcomes. As we continue to generate and collect more data, the ability to interpret and analyze this information using statistical techniques will become increasingly important. Therefore, fostering a strong understanding of statistical analysis is essential for individuals and organizations alike, enabling them to navigate the complexities of the modern world effectively.

在当今数据驱动的世界中，理解统计方法的重要性不容小觑。从商业决策到公共政策，统计分析在塑造我们对各种现象的理解方面发挥着至关重要的作用。本文将探讨统计分析在不同领域的重要性，通过实际例子说明其影响。首先，在医学领域，统计分析对于确定治疗和干预的有效性至关重要。临床试验在很大程度上依赖于统计方法来评估新药的安全性和有效性。例如，当研究人员进行新药的临床试验时，他们使用统计技术来分析患者的结果，以确保结果不是偶然的。通过应用统计方法，医疗专业人员可以做出明智的决定，推荐哪些治疗，从而最终改善患者护理。其次，在经济学领域，统计分析是理解市场趋势和做出预测的基础。经济学家利用统计模型分析来自各个来源的数据，例如就业率、通货膨胀和消费者支出。例如，在经济衰退期间，统计分析可以帮助识别失业率的模式，使政策制定者能够实施有效的策略以刺激就业增长。如果没有统计分析，就很难理解复杂的经济数据，这可能导致误导性的政策，进一步加剧经济问题。此外，教育是另一个统计分析发挥重要作用的领域。学校和教育机构使用统计数据来评估学生表现并改善教学方法。通过分析测试分数和其他指标，教育工作者可以识别学生面临的困难领域，并制定有针对性的干预措施。例如，如果统计分析显示大量学生在数学方面表现不佳，学校可以实施额外的辅导项目或修订课程以解决这些差距。这种基于证据的方法提高了整体教育质量。此外，企业越来越依赖于统计分析来通知他们的战略和运营。公司收集大量关于消费者行为、销售趋势和市场状况的数据。通过采用统计技术，企业可以发现推动决策的见解。例如，一家零售公司可能分析统计数据以确定哪些产品在客户中最受欢迎，从而优化库存和营销工作。通过这种方式，统计分析不仅帮助企业最大化利润，还通过确保热门产品随时可用来提高客户满意度。总之，统计分析在各个领域的重要性不可低估。无论是在医学、经济学、教育还是商业中，统计方法提供了指导决策和改善结果的宝贵见解。随着我们继续生成和收集更多数据，使用统计技术来解释和分析这些信息的能力将变得越来越重要。因此，培养对统计分析的深入理解对于个人和组织来说都是必不可少的，使他们能够有效地驾驭现代世界的复杂性。