quantitative

简明释义

英[ˈkwɒntɪtətɪv]美[ˈkwɑːntəteɪtɪv]

adj. 数量的，量化的，定量的；（诗）由长短步组成的

英英释义

单词用法

同义词

反义词

例句

1.A quantitative-based one, for example, is unlikely to be sent home, where one could ask their older brothers and sisters to help.

例如，一个基于数量的考试不太可能安排家考，因为考生在家可以请自己的兄弟姐妹帮忙。

2.It's simply a quantitative thing.

其实它就是一种量化的判断。

3.A cataluminescence(CTL) sensor for quantitative analysis of the explosive gases of propane and iso-butane in a mixture was proposed.

提出了一种用于定量分析混合气中丙烷和异丁烷爆炸性气体的催化发光（CTL）传感器。

4.Indeed, work with some other species suggests they too can refine their quantitative thought if they are introduced to the cognitive power tools we call numbers.

事实上，对其他一些物种的研究表明，如果引入我们称之为数字的认知工具，它们也可以完善自己的定量思维。

5.There is no difference between the two in quantitative terms.

两者在数量上毫无差别。

6.Everyone hates quantitative easing.

每个人都厌恶量化宽松。

7.And, he needed to get quantitative.

他需要得到定量的因素。

8.It studies these populations in the past, present and future using quantitative data and mathematical models as tools of analysis.

它使用定量数据和数学模型作为分析工具，研究这些人口在过去、现在和未来的情况。

9.The company uses quantitative metrics to measure employee performance.

公司使用定量指标来衡量员工表现。

10.The research team conducted a quantitative analysis of the data to identify trends.

研究小组对数据进行了定量分析，以识别趋势。

11.In finance, quantitative models are used to predict market movements.

在金融领域，使用定量模型来预测市场走势。

12.Her thesis focused on quantitative methods for analyzing social media impact.

她的论文集中于分析社交媒体影响的定量方法。

13.The survey provided quantitative data that helped us understand customer preferences.

调查提供了定量数据，帮助我们了解客户偏好。

作文

In today's world, data plays a crucial role in decision-making processes across various fields. One of the most important aspects of data analysis is its quantitative (定量的) nature, which allows researchers and analysts to derive meaningful insights from numerical data. Understanding quantitative (定量的) methods is essential for anyone looking to engage in scientific research, market analysis, or even social sciences. The term quantitative (定量的) refers to anything that can be measured and expressed numerically. This includes data that can be counted, such as the number of participants in a study, or measured, such as the height of individuals or the temperature of a substance. In contrast to qualitative data, which describes characteristics or qualities, quantitative (定量的) data provides a more objective basis for analysis. For instance, in a recent study examining the impact of exercise on mental health, researchers collected quantitative (定量的) data by measuring the frequency and duration of physical activity among participants. They also assessed mental health outcomes using standardized questionnaires that provided numerical scores. This quantitative (定量的) approach enabled the researchers to identify patterns and correlations between exercise habits and improvements in mental well-being. Furthermore, quantitative (定量的) research often employs statistical techniques to analyze data. By using tools such as regression analysis, researchers can determine the strength and significance of relationships between variables. For example, a business might use quantitative (定量的) analysis to evaluate customer satisfaction by analyzing survey responses and calculating an average satisfaction score. This allows companies to make data-driven decisions to improve their products and services. Additionally, the importance of quantitative (定量的) research extends beyond academia and business. In public policy, policymakers often rely on quantitative (定量的) data to inform decisions about resource allocation and program effectiveness. By analyzing crime rates, unemployment figures, or educational outcomes, they can identify areas that require intervention and measure the impact of their policies over time. However, while quantitative (定量的) methods provide valuable insights, it is essential to recognize their limitations. Numbers alone cannot capture the full complexity of human experiences and behaviors. Therefore, many researchers advocate for a mixed-methods approach that combines both quantitative (定量的) and qualitative (定性) data. This allows for a more comprehensive understanding of the research question at hand. In conclusion, the concept of quantitative (定量的) analysis is vital in various domains, from scientific research to business and public policy. By focusing on measurable data, quantitative (定量的) methods enable researchers and decision-makers to draw conclusions that are backed by evidence. As we continue to navigate an increasingly data-driven world, mastering quantitative (定量的) skills will be indispensable for those seeking to make informed decisions based on solid data.

在当今世界，数据在各个领域的决策过程中扮演着至关重要的角色。数据分析中最重要的一个方面是其定量的特性，这使得研究人员和分析师能够从数字数据中提取有意义的见解。理解定量的方法对于任何希望参与科学研究、市场分析或甚至社会科学的人来说都是必不可少的。术语定量的指的是任何可以被测量并以数字形式表达的事物。这包括可以计数的数据，如研究中的参与者数量，或可以测量的数据，如个体的身高或物质的温度。与描述特征或质量的定性数据相比，定量的数据提供了更客观的分析基础。例如，在一项最近研究中，研究人员通过测量参与者的锻炼频率和持续时间来收集定量的数据。他们还使用标准化问卷评估心理健康结果，提供数值分数。这种定量的方法使研究人员能够识别锻炼习惯与心理健康改善之间的模式和相关性。此外，定量的研究通常采用统计技术来分析数据。通过使用回归分析等工具，研究人员可以确定变量之间关系的强度和显著性。例如，一家公司可能会使用定量的分析来评估客户满意度，通过分析调查回应并计算平均满意度分数。这使得公司能够做出基于数据的决策，以改善其产品和服务。此外，定量的研究的重要性超越了学术界和商业。在公共政策中，政策制定者常常依赖定量的数据来告知资源分配和项目有效性决策。通过分析犯罪率、失业数字或教育结果，他们可以识别需要干预的领域，并衡量其政策随时间的影响。然而，尽管定量的方法提供了有价值的见解，但必须认识到其局限性。仅靠数字无法捕捉人类经验和行为的全部复杂性。因此，许多研究人员倡导采用混合方法，结合定量的和定性数据。这使得对研究问题的理解更加全面。总之，定量的分析概念在科学研究、商业和公共政策等各个领域都是至关重要的。通过关注可测量的数据，定量的方法使研究人员和决策者能够得出有证据支持的结论。随着我们继续在一个日益数据驱动的世界中航行，掌握定量的技能将对那些寻求基于可靠数据做出明智决策的人至关重要。