quantifiable

简明释义

英[/ˈkwɒntɪfaɪəbl/]美[/ˈkwɒntɪfaɪəbl/]

adj. 可以计量的

英英释义

单词用法

同义词

反义词

例句

1.A clearly quantifiable measure of quality is not necessary.

一种确切的可计量的质量检测是不必要的。

2.But some users attest to quantifiable benefits.

但有些用户却也证实了可量化的收益。

3.Numerical increases are used as quantifiable indicators of heightened interest in the new stimulus.

数值的增长被用来作为显示新型激励下增长利益的量化指标。

4.These metrics are processed and displayed using project scorecard software to summarize the quantifiable status of each project.

利用项目计分卡软件将这些度量标准进行处理和显示，从而概括每个项目的可计量的状态。

5.The use of consumer articles with DuPont materials would not result in quantifiable exposure to perfluorooctanoic acid (PFOA).

将消费品与杜邦材料一起使用不会导致全氟辛酸（PFOA）的定量暴露。

6.And one of the best things about digital? All output is measurable and totally quantifiable.

其最好的某一方面是，其输出都是可量化和评估的。

7.Dr Shamir's aim was to look for quantifiable ways of distinguishing between the work of different artists.

沙米尔的目标是寻找定量的方法来区分出不同艺术家的作品之间的不同之处。

8.Then, they followed with more specific, quantifiable questions about phenomena such as drought frequency and average temperature.

之后，又询问了些关于洪水周期、平均气温等，可用具体数字来回答的问题。

9.The success of the marketing campaign can be measured through various quantifiable 可量化的 metrics such as sales increase and customer engagement.

营销活动的成功可以通过各种可量化的指标来衡量，例如销售增长和客户参与度。

10.To improve efficiency, we need to identify quantifiable 可量化的 indicators of productivity in our workflow.

为了提高效率，我们需要识别工作流程中的可量化的生产力指标。

11.Customer satisfaction is often evaluated using quantifiable 可量化的 surveys and feedback forms.

客户满意度通常通过可量化的调查和反馈表进行评估。

12.The project manager requested quantifiable 可量化的 goals to assess the team's performance more effectively.

项目经理要求设定可量化的目标，以更有效地评估团队的表现。

13.In scientific research, it's crucial to have quantifiable 可量化的 data to support your findings.

在科学研究中，拥有可量化的数据来支持你的发现是至关重要的。

作文

In today's data-driven world, the importance of making decisions based on evidence rather than intuition cannot be overstated. One of the key concepts that facilitate this process is the idea of something being quantifiable, which means it can be measured or expressed in numerical terms. This characteristic is crucial in various fields, including business, science, and social studies, as it allows for a more objective analysis of information. For instance, in the business sector, companies rely heavily on quantifiable metrics such as sales figures, customer satisfaction scores, and market share percentages to evaluate their performance and make informed strategic decisions. By focusing on quantifiable data, businesses can identify trends, assess risks, and optimize their operations effectively.Moreover, in the realm of scientific research, the ability to produce quantifiable results is fundamental. Scientists conduct experiments and gather data that can be measured and analyzed statistically. This process not only validates their hypotheses but also contributes to the broader body of knowledge. For example, in medical research, the effectiveness of a new drug is often determined through quantifiable measures such as the percentage of patients who show improvement or the reduction in symptoms over time. Such data is essential for regulatory approval and for informing healthcare providers and patients about treatment options.On the other hand, the significance of quantifiable data extends beyond the hard sciences. In social sciences, researchers strive to quantify complex human behaviors and societal trends. Surveys and questionnaires are designed to gather quantifiable responses that can reveal insights into public opinion, consumer behavior, or demographic changes. For example, understanding the quantifiable aspects of voter turnout can help political analysts predict election outcomes and devise effective campaign strategies.However, while quantifiable data is invaluable, it is important to recognize its limitations. Not all aspects of life can be easily measured or reduced to numbers. Qualitative factors, such as emotions, motivations, and cultural influences, often play a significant role in decision-making processes. Therefore, a balanced approach that combines both quantifiable data and qualitative insights is essential for a comprehensive understanding of any situation.In conclusion, the concept of being quantifiable is integral to navigating our increasingly complex world. Whether in business, science, or social studies, the ability to measure and analyze data provides a foundation for informed decision-making. However, it is crucial to complement this with qualitative insights to capture the full spectrum of human experience. As we continue to advance technologically and socially, the interplay between quantifiable metrics and qualitative understanding will shape the future of various disciplines and industries.

在当今数据驱动的世界中，基于证据而非直觉做出决策的重要性不容小觑。促进这一过程的关键概念之一是某物具备量化的特性，这意味着它可以以数字形式进行测量或表达。这一特征在商业、科学和社会研究等多个领域至关重要，因为它允许对信息进行更客观的分析。例如，在商业领域，公司在评估业绩和做出明智的战略决策时，极度依赖于量化指标，如销售数字、客户满意度评分和市场份额百分比。通过关注量化数据，企业能够有效识别趋势、评估风险并优化其运营。此外，在科学研究领域，产生量化结果的能力是基础。科学家进行实验并收集可以进行统计测量和分析的数据。这个过程不仅验证了他们的假设，还为更广泛的知识体系做出了贡献。例如，在医学研究中，新药的有效性通常通过量化的措施来确定，例如显示改善的患者比例或症状随时间减少的程度。这些数据对于监管批准以及为医疗提供者和患者提供治疗选择至关重要。另一方面，量化数据的重要性超越了硬科学。在社会科学中，研究人员努力量化复杂的人类行为和社会趋势。调查和问卷旨在收集量化的响应，这些响应可以揭示公众舆论、消费者行为或人口变化的见解。例如，了解选民投票率的量化方面可以帮助政治分析师预测选举结果并制定有效的竞选策略。然而，尽管量化数据是无价的，但重要的是要认识到它的局限性。生活中的所有方面都不能轻易地被测量或简化为数字。定性因素，如情感、动机和文化影响，往往在决策过程中发挥着重要作用。因此，结合量化数据和定性见解的平衡方法对于全面理解任何情况至关重要。总之，量化的概念对于驾驭我们日益复杂的世界至关重要。无论是在商业、科学还是社会研究中，测量和分析数据的能力为明智决策提供了基础。然而，补充定性见解以捕捉人类经验的全貌至关重要。随着我们在技术和社会上不断进步，量化指标与定性理解之间的相互作用将塑造各个学科和行业的未来。