numerically
简明释义
adv. 数字上;用数字表示
英英释义
以与数字相关或以数字表示的方式。 | |
以数值或数量的方式。 |
单词用法
在数字上显著的 | |
在数字上优越的 | |
数值分析数据 | |
数值表示的值 |
同义词
算术上 | The results were analyzed arithmetically to ensure accuracy. | 结果通过算术方法分析以确保准确性。 | |
数字上 | We need to evaluate the data digitally for better precision. | 我们需要以数字方式评估数据以获得更好的精度。 | |
定量上 | 实验的结果是定量测量的。 |
反义词
例句
1.Square brackets denote a numerically indexed array.
方括号表示数字索引数组。
2.The evolution of vortexes in the boundary layer are numerically simulated.
本文数值模拟了多涡结构在边界层中的非线性演化过程。
3.Conceptually simple and numerically efficient, this methodology could be extended to other highly heterogeneous fields.
概念简单而且数模有效,这种方法可以推广到其他非均质性高的油田中。
4.He concluded that "qualitatively and numerically, China came out on top", especially in oncology and neurology.
斯拉维总结道,“中国从质到量都居于首位,”尤其是在肿瘤学与神经学方面。
5.As the queue builds up, the depth is shown graphically as well as numerically.
随着队列的增大,将以图形和数字的方式显示队列深度。
6.When he solved the system numerically, he found that his particle moved wildly and apparently randomly.
当他用数学解决系统,他发现他的粒子运动狂野和明显地随机。
7.A benefit of this design is that each variable class can be extended if the value must be modified on return, such as numerically incremented or decremented.
这种设计的一种好处,在于如果变量必须更改的话,那么每一个变量都可以得到扩展,这就使得变量得到显著的增加或者降低。
8.Attribute data may be either quantitative and expressed numerically or qualitative without numerical magnitudes.
属性资料可能是用数字表达或没有数字的量化。
9.The results of the experiment were presented numerically 以数字形式, showing a clear trend over time.
实验结果以数字形式展示,显示出随时间变化的明显趋势。
10.In the financial report, the profits were detailed numerically 以数字形式, allowing for easy comparison with previous years.
在财务报告中,利润以数字形式详细列出,便于与前几年进行比较。
11.The study aimed to assess the population growth numerically 以数字形式 in urban areas over the last decade.
这项研究旨在评估过去十年城市地区的人口增长情况,以数字形式进行分析。
12.To understand the data better, we need to represent it numerically 以数字形式 rather than just visually.
为了更好地理解数据,我们需要以数字形式而不仅仅是视觉上来表示它。
13.The teacher asked the students to solve the math problems numerically 以数字形式 and present their answers.
老师要求学生以数字形式解决数学问题并展示他们的答案。
作文
In the modern world, data plays a crucial role in decision-making across various fields, including business, healthcare, and education. The ability to analyze information numerically is essential for making informed choices. When we talk about analyzing data numerically, we refer to the process of using numbers and mathematical techniques to interpret information. This method allows us to quantify trends, measure performance, and predict future outcomes based on historical data. For instance, in the business sector, companies often rely on sales figures, customer feedback scores, and market research statistics to guide their strategies. By examining these metrics numerically, businesses can identify successful products, understand customer preferences, and allocate resources more effectively. A company that analyzes its performance numerically may discover that a particular product line is underperforming, prompting them to investigate further and implement changes to improve sales. Similarly, in healthcare, medical professionals utilize numerically driven data to track patient outcomes and improve treatment plans. Hospitals collect vast amounts of data regarding patient demographics, treatment efficacy, and recovery rates. By interpreting this data numerically, healthcare providers can assess the effectiveness of different treatments and make evidence-based decisions that enhance patient care. Education is another area where numerically analyzing data has become increasingly important. Educators use standardized test scores and attendance records to evaluate student performance and identify areas needing improvement. For example, if a school notices a significant drop in test scores numerically, they may choose to implement new teaching strategies or provide additional resources to assist struggling students. This approach not only helps in addressing current issues but also aids in planning for future educational initiatives. However, it is essential to recognize that while analyzing data numerically provides valuable insights, it is not without its challenges. One major concern is the potential for misinterpretation. Numbers can sometimes be misleading, especially if taken out of context. For example, a company might report a 20% increase in sales, but if the previous year’s sales were exceptionally low, this figure might not indicate true growth. Therefore, it is vital to consider the broader context when interpreting data numerically. Moreover, reliance on numerically driven data can lead to an overemphasis on quantitative measures at the expense of qualitative factors. In education, for instance, focusing solely on test scores may overlook critical aspects of student development, such as creativity and emotional intelligence. Thus, while numerically analyzing data is essential, it should be balanced with qualitative assessments to provide a comprehensive understanding of any situation. In conclusion, the ability to analyze information numerically is invaluable in today’s data-driven society. Whether in business, healthcare, or education, numerically interpreting data helps organizations and individuals make informed decisions that can lead to better outcomes. However, it is crucial to approach numerical data with caution, ensuring that it is contextualized and complemented by qualitative insights. Only then can we harness the full potential of data analysis to drive progress and innovation in our respective fields.
在现代世界中,数据在商业、医疗和教育等各个领域的决策中扮演着至关重要的角色。能够以数值上分析信息对于做出明智的选择至关重要。当我们谈论以数值上分析数据时,我们指的是使用数字和数学技术来解释信息的过程。这种方法使我们能够量化趋势、衡量表现并根据历史数据预测未来结果。 例如,在商业领域,公司通常依赖销售数字、客户反馈分数和市场研究统计数据来指导其战略。通过以数值上检查这些指标,企业可以识别成功的产品、了解客户偏好,并更有效地分配资源。一个以数值上分析其业绩的公司可能会发现某个产品线表现不佳,从而促使他们进一步调查并实施改进销售的变更。 同样,在医疗保健中,医疗专业人员利用以数值上驱动的数据来跟踪患者结果并改善治疗方案。医院收集大量关于患者人口统计、治疗有效性和恢复率的数据。通过以数值上解释这些数据,医疗提供者可以评估不同治疗方法的有效性,并做出基于证据的决策,以提高患者护理。 教育也是一个越来越重视以数值上分析数据的领域。教育工作者使用标准化测试分数和出勤记录来评估学生表现并识别需要改进的领域。例如,如果一所学校注意到测试分数显著下降数值上,他们可能会选择实施新的教学策略或提供额外资源以帮助有困难的学生。这种方法不仅有助于解决当前问题,还帮助为未来的教育计划进行规划。 然而,必须认识到,尽管以数值上分析数据提供了宝贵的见解,但这并非没有挑战。一个主要问题是误解的潜力。数字有时可能会误导,尤其是在脱离上下文的情况下。例如,一家公司可能报告销售增长20%,但如果前一年的销售额异常低,这一数字可能并不表示真正的增长。因此,在以数值上解释数据时,考虑更广泛的背景至关重要。 此外,过度依赖以数值上驱动的数据可能导致对定量指标的过分强调,而忽视定性因素。在教育中,例如,单纯关注测试分数可能会忽视学生发展的关键方面,如创造力和情商。因此,虽然以数值上分析数据至关重要,但应与定性评估相平衡,以提供对任何情况的全面理解。 总之,在当今数据驱动的社会中,能够以数值上分析信息是无价的。无论是在商业、医疗还是教育领域,以数值上解读数据帮助组织和个人做出明智的决策,进而获得更好的结果。然而,谨慎处理数值数据至关重要,确保其具有上下文并辅以定性见解。只有这样,我们才能充分利用数据分析的潜力,推动各自领域的进步和创新。
文章标题:numerically的意思是什么
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