quantitatively

简明释义

英[ˈkwɒntɪtətɪvli]美[ˈkwɑːntəteɪtɪvli]

adv. 数量上；分量上

英英释义

单词用法

同义词

反义词

例句

1.In this paper, fractal geometry isu sed to quantitatively analyze the stress-strain curves of extruded rice.

该文利用分形几何的方法对挤压膨化大米的应力-应变曲线进行了定量分析。

2.The architecture of a solution is quantitatively evaluated by conducting some experiments on the existing system.

一个解决方案的架构的定量评估方法是在现有系统上执行一些实验。

3.An effective method has not been developed yet of quantitatively estimate signal-to-noise ratio of seismic record.

如何定量地估算地震记录的信噪比，至今尚未见到一种行之有效的方法。

4.CMMI has five maturity stages or levels: initial process, managed process, defined process, quantitatively managed process and optimized process.

CMMI有五个成熟度阶段或等级：初始过程、可管理的过程、可定义的过程、量化管理过程和优化的过程。

5.To express measurements quantitatively we have to introduce units.

我们必须要引入单位，以量化测量结果。

6.There may be no way to quantitatively prove that cameras influence courtroom behavior and, possibly, a trial's outcome.

我们可能无法量化地去证明摄像机会影响人们在法庭上的行为，甚至于审判结果。

7.We believe we shall be able to better satisfy our customers quantitatively.

我们相信能在数量上更好地使客户满意。

8.Von Neumann quantitatively compared the speed of brain neurons and the speed of vacuum tubes, boldly implying the two could be compared.

冯·诺依曼从数量上比较了大脑神经元和真空电子管的运算速度，大胆暗示两者可以类比。

9.We need to measure the results quantitatively to assess the effectiveness of the new marketing strategy.

我们需要对结果进行定量测量，以评估新营销策略的有效性。

10.The research team analyzed the data quantitatively to identify trends over time.

研究团队对数据进行了定量分析，以识别时间上的趋势。

11.To improve our services, we should gather feedback quantitatively from our customers.

为了改善我们的服务，我们应该从客户那里收集定量反馈。

12.The financial report was prepared quantitatively, showcasing the company's profits and losses.

财务报告以定量方式准备，展示了公司的利润和损失。

13.The study aimed to evaluate the impact of the drug quantitatively by comparing patient outcomes.

这项研究旨在通过比较患者结果来定量评估药物的影响。

作文

In today's data-driven world, the ability to analyze information quantitatively is more important than ever. This skill allows individuals and organizations to make informed decisions based on numerical data rather than relying solely on subjective opinions. For example, in the field of business, companies often use quantitative analysis to evaluate their performance, assess market trends, and forecast future sales. By examining numbers such as revenue growth, profit margins, and customer acquisition costs, businesses can identify areas for improvement and develop strategies to enhance their operations.Moreover, in academic research, scholars frequently employ quantitative methods to test hypotheses and validate theories. Through the collection and analysis of data, researchers can draw objective conclusions that contribute to the body of knowledge in their respective fields. For instance, a study examining the impact of a new teaching method on student performance may involve quantitative measures such as test scores and attendance rates. By analyzing these figures, the researcher can determine whether the new method is effective or not.In the realm of public policy, quantitative data plays a crucial role in shaping decisions that affect society. Policymakers rely on statistics to understand social issues, allocate resources, and evaluate the effectiveness of programs. For example, crime rates, unemployment figures, and health statistics are all quantitative indicators that help governments formulate policies aimed at improving the quality of life for their citizens.However, it is essential to recognize that while quantitative analysis provides valuable insights, it should not be the sole basis for decision-making. Contextual factors and qualitative information also play a significant role in understanding complex issues. For instance, while quantitative data may show a decline in crime rates, it is equally important to consider the underlying social dynamics that may contribute to this trend, such as community engagement and support services.In conclusion, the ability to think quantitatively is an invaluable skill in various fields, including business, academia, and public policy. It empowers individuals to make evidence-based decisions and fosters a deeper understanding of the world around us. As we continue to navigate an increasingly complex landscape, honing our quantitative skills will enable us to tackle challenges effectively and make a positive impact in our communities. Therefore, embracing quantitative analysis alongside qualitative insights will lead to more comprehensive and informed outcomes, ultimately benefiting society as a whole.

在当今数据驱动的世界中，分析信息的能力定量地变得比以往任何时候都重要。这种技能使个人和组织能够基于数字数据做出明智的决策，而不仅仅依赖主观意见。例如，在商业领域，公司通常使用定量分析来评估其业绩、评估市场趋势和预测未来销售。通过检查收入增长、利润率和客户获取成本等数字，企业可以识别改进领域并制定增强运营的策略。此外，在学术研究中，学者们经常采用定量方法来检验假设和验证理论。通过数据的收集和分析，研究人员可以得出客观结论，为各自领域的知识体系做出贡献。例如，一项研究考察新教学方法对学生表现的影响，可能涉及定量测量，如考试成绩和出勤率。通过分析这些数据，研究人员可以确定新方法是否有效。在公共政策领域，定量数据在塑造影响社会的决策中起着至关重要的作用。政策制定者依靠统计数据来了解社会问题、分配资源和评估项目的有效性。例如，犯罪率、失业数字和健康统计都是帮助政府制定旨在改善公民生活质量的政策的定量指标。然而，必须认识到，虽然定量分析提供了有价值的见解，但它不应成为决策的唯一依据。背景因素和定性信息在理解复杂问题中也发挥着重要作用。例如，虽然定量数据显示犯罪率下降，但同样重要的是考虑可能导致这一趋势的潜在社会动态，如社区参与和支持服务。总之，思维定量地的能力在商业、学术和公共政策等各个领域都是一项宝贵的技能。它使个人能够做出基于证据的决策，并加深对周围世界的理解。随着我们继续应对日益复杂的环境，提升我们的定量技能将使我们能够有效应对挑战，并在我们的社区中产生积极的影响。因此，拥抱定量分析与定性见解相结合，将导致更全面和知情的结果，最终使整个社会受益。