rough figure
简明释义
大约数字
英英释义
A rough figure is an approximate number or estimate that is not exact but gives a general idea of the quantity or value. | 粗略数字是一个近似的数字或估算,虽然不精确,但给出了数量或价值的大致概念。 |
例句
1.We need a rough figure 大致数字 of how many attendees to expect at the conference.
我们需要一个关于会议预计参与人数的rough figure 大致数字。
2.She asked for a rough figure 大致数字 on how long the project will take.
她询问项目需要多长时间的rough figure 大致数字。
3.Can you give me a rough figure 大致数字 for the project's budget?
你能给我这个项目预算的rough figure 大致数字吗?
4.The sales team estimated a rough figure 大致数字 of 500 units sold this month.
销售团队估计这个月的销量为rough figure 大致数字 500个单位。
5.The contractor provided a rough figure 大致数字 for the renovation costs.
承包商提供了翻修费用的rough figure 大致数字。
作文
In today's fast-paced world, data and statistics play a crucial role in decision-making processes across various fields. Whether in business, education, or healthcare, having accurate information is essential. However, there are times when precise numbers are not readily available, and this is where the concept of a rough figure (粗略数字) comes into play. A rough figure (粗略数字) can be defined as an approximate value that is used when exact data is either unknown or unnecessary for the context at hand. It provides a general idea without the need for precision, allowing individuals to make informed decisions based on available information.For instance, consider a company looking to expand its operations into a new market. The management team may not have all the detailed financial projections, but they can use a rough figure (粗略数字) to estimate potential revenue based on similar markets. This enables them to assess whether the expansion is worth pursuing. While a rough figure (粗略数字) may lack accuracy, it offers a valuable starting point for discussions and planning.In education, teachers often need to evaluate student performance based on standardized tests. If the exact scores are not available yet, they might refer to a rough figure (粗略数字) to gauge overall class performance. This approach allows them to identify trends and potential areas for improvement without getting bogged down by minute details. By using a rough figure (粗略数字), educators can focus on broader strategies rather than fixating on individual scores.In the realm of healthcare, professionals frequently deal with statistics related to patient outcomes. When discussing the success rates of a new treatment, doctors might provide a rough figure (粗略数字) based on preliminary data or studies. This helps patients understand the potential risks and benefits without overwhelming them with complex data. In such cases, a rough figure (粗略数字) serves as a useful tool for communication, simplifying complex information into digestible insights.Moreover, in everyday life, we often rely on rough figures (粗略数字) to make quick decisions. For example, when planning a budget for a home renovation, one might estimate costs based on previous projects rather than obtaining detailed quotes for every item. This allows for a more manageable approach to budgeting and helps avoid paralysis by analysis.However, it's important to recognize the limitations of using rough figures (粗略数字). Relying solely on approximations can lead to misunderstandings or poor decisions if the estimates are significantly off. Therefore, while rough figures (粗略数字) can be incredibly useful, they should be used as a stepping stone towards acquiring more precise data whenever possible.In conclusion, the concept of a rough figure (粗略数字) is invaluable in various contexts, enabling individuals and organizations to make educated guesses in the absence of exact data. Whether in business, education, healthcare, or daily life, rough figures (粗略数字) provide a necessary framework for understanding and decision-making. As long as we remain aware of their limitations and strive to seek out more accurate information when available, rough figures (粗略数字) will continue to serve as a practical tool in our data-driven world.
在当今快节奏的世界中,数据和统计在各个领域的决策过程中发挥着至关重要的作用。无论是在商业、教育还是医疗保健中,拥有准确的信息都是必不可少的。然而,有时精确的数字并不容易获得,这就是粗略数字(rough figure)概念发挥作用的地方。粗略数字(rough figure)可以定义为一个近似值,当确切的数据未知或在特定上下文中不必要时使用。它提供了一般性的想法,而无需精确性,使个人能够根据可用信息做出明智的决策。例如,考虑一家希望在新市场扩展业务的公司。管理团队可能没有所有详细的财务预测,但他们可以使用粗略数字(rough figure)来估算基于类似市场的潜在收入。这使他们能够评估扩展是否值得追求。虽然粗略数字(rough figure)可能缺乏准确性,但它为讨论和规划提供了有价值的起点。在教育中,教师通常需要根据标准化测试评估学生表现。如果确切的分数尚不可用,他们可能会参考粗略数字(rough figure)来评估整体班级表现。这种方法使他们能够识别趋势和潜在的改进领域,而不被细节所困扰。通过使用粗略数字(rough figure),教育工作者可以专注于更广泛的策略,而不是纠结于个别的分数。在医疗领域,专业人员经常处理与患者结果相关的统计数据。在讨论新治疗的成功率时,医生可能会根据初步数据或研究提供一个粗略数字(rough figure)。这帮助患者理解潜在的风险和收益,而不会让他们被复杂的数据淹没。在这种情况下,粗略数字(rough figure)作为沟通的有用工具,将复杂的信息简化为易于理解的见解。此外,在日常生活中,我们经常依赖粗略数字(rough figure)来做出快速决策。例如,在为家庭装修计划预算时,人们可能会根据以前的项目估算成本,而不是为每一项获取详细的报价。这使得预算制定变得更加可管理,并有助于避免因分析瘫痪而导致的决策困难。然而,重要的是要认识到使用粗略数字(rough figure)的局限性。仅仅依赖近似值可能会导致误解或错误决策,尤其是当估计值偏差较大时。因此,尽管粗略数字(rough figure)非常有用,但在可能的情况下,它们应该作为获取更精确数据的跳板。总之,粗略数字(rough figure)这一概念在各种上下文中都是无价的,使个人和组织能够在缺乏确切数据的情况下进行合理的猜测。无论是在商业、教育、医疗保健还是日常生活中,粗略数字(rough figure)都提供了理解和决策的必要框架。只要我们意识到它们的局限性,并在有可能的情况下努力寻求更准确的信息,粗略数字(rough figure)将继续在我们这个数据驱动的世界中作为实用工具发挥作用。