arbitrary figure

简明释义

任意图象;

英英释义

例句

1.The artist used an arbitrary figure to represent freedom in her painting.

这位艺术家用一个任意的形象来表现她画作中的自由。

2.In the report, the analyst included an arbitrary figure for projected sales growth.

在报告中，分析师包含了一个任意的数字用于预测销售增长。

3.The teacher asked the students to draw an arbitrary figure to illustrate their ideas.

老师要求学生们画一个任意的图形来阐明他们的想法。

4.He chose an arbitrary figure as a placeholder in his mathematical equation.

他在数学方程中选择了一个任意的数字作为占位符。

5.The architect designed an arbitrary figure to symbolize innovation in the new building.

建筑师设计了一个任意的形象以象征新建筑中的创新。

作文

In today's world, numbers play a crucial role in our understanding of various phenomena. Whether it is in economics, science, or everyday life, we often rely on numerical data to make informed decisions. However, not all figures are created equal. Some numbers are precise and based on solid evidence, while others can be described as an arbitrary figure (任意数字) that lacks a clear basis or justification. This distinction is essential, especially when analyzing data for decision-making purposes.For instance, consider the realm of business. A company might set sales targets based on past performance, market trends, and consumer behavior. These targets are usually grounded in research and analysis. However, if a manager decides to set a sales target of $1 million without any substantial reasoning or data to back it up, that figure becomes an arbitrary figure (任意数字). Such arbitrary targets can lead to unrealistic expectations, employee frustration, and ultimately, failure to meet goals.Similarly, in the field of science, researchers must be cautious about the figures they present. If a scientist claims that a new drug will reduce symptoms by 50% based on a small, unrepresentative sample size, this number could be seen as an arbitrary figure (任意数字). The lack of rigorous testing and validation makes it difficult to trust such claims. Scientific integrity relies on reproducibility and robust data, and arbitrary figures can undermine this principle, leading to misinformation and potential harm to public health.Moreover, in public policy, the use of arbitrary figures (任意数字) can have significant consequences. Policymakers may propose budgets or funding allocations based on these figures without proper analysis or consideration of the actual needs of the community. For example, if a government decides to allocate $10 million for education without assessing the current educational landscape, that amount becomes an arbitrary figure. Such decisions can result in misallocation of resources, leaving critical areas underfunded while overspending in others.The danger of relying on arbitrary figures (任意数字) extends beyond individual cases; it can shape entire industries and sectors. In finance, for example, analysts might use arbitrary earnings projections to influence stock prices. Investors, swayed by these figures, may make poor investment choices based on misleading information. This can create bubbles in the market, leading to economic instability.So, how can we avoid the pitfalls associated with arbitrary figures (任意数字)? First, it is crucial to prioritize data-driven decision-making. Whenever possible, we should base our figures on comprehensive research and analysis rather than gut feelings or assumptions. Additionally, transparency is key. Sharing the methodology behind the figures can help others understand their validity and reliability.In conclusion, while numbers can provide valuable insights, we must be vigilant about distinguishing between well-founded figures and arbitrary figures (任意数字). Recognizing the difference is vital in ensuring that our decisions are informed and grounded in reality. By doing so, we can foster better outcomes in business, science, and public policy, ultimately leading to a more informed and responsible society.

在当今世界，数字在我们理解各种现象中扮演着至关重要的角色。无论是在经济学、科学还是日常生活中，我们经常依赖数字数据来做出明智的决策。然而，并不是所有的数字都是平等的。有些数字是精确的，基于坚实的证据，而其他数字则可以被描述为任意数字（arbitrary figure），缺乏明确的基础或理由。这一区别至关重要，尤其是在分析数据以进行决策时。例如，考虑商业领域。一家公司可能会根据过去的表现、市场趋势和消费者行为设定销售目标。这些目标通常是基于研究和分析的。然而，如果一位经理决定设定100万美元的销售目标，而没有任何实质性的理由或数据支持，这个数字就变成了任意数字（arbitrary figure）。这样的任意目标可能导致不切实际的期望、员工挫败感，并最终未能实现目标。同样，在科学领域，研究人员必须谨慎对待他们所呈现的数字。如果一位科学家声称一种新药物能将症状减少50%，而这一结论是基于一个小且不具代表性的样本，那么这个数字可以被视为任意数字（arbitrary figure）。缺乏严格的测试和验证使得信任这样的声明变得困难。科学诚信依赖于可重复性和强有力的数据，而任意数字则可能破坏这一原则，导致错误信息和对公共健康的潜在危害。此外，在公共政策中，使用任意数字（arbitrary figure）可能会产生重大后果。政策制定者可能会根据这些数字提出预算或资金分配，而没有进行适当的分析或考虑社区的实际需求。例如，如果政府决定为教育分配1000万美元，而没有评估当前的教育环境，那么这个金额就成为了一个任意数字。这样的决策可能导致资源的错误配置，使得关键领域资金不足，而其他领域则过度支出。依赖任意数字（arbitrary figure）的危险不仅限于个别案例；它可能影响整个行业和部门。在金融领域，例如，分析师可能使用任意的收益预测来影响股价。投资者受到这些数字的影响，可能会基于误导性的信息做出糟糕的投资选择。这可能在市场上造成泡沫，导致经济不稳定。那么，我们如何避免与任意数字（arbitrary figure）相关的陷阱呢？首先，优先考虑基于数据的决策至关重要。每当可能时，我们应该基于全面的研究和分析来确定我们的数字，而不是凭直觉或假设。此外，透明度是关键。分享数字背后的方法论可以帮助他人理解其有效性和可靠性。总之，虽然数字可以提供有价值的见解，但我们必须警惕区分有充分依据的数字和任意数字（arbitrary figure）。认识到这一点对于确保我们的决策是明智且扎根于现实至关重要。通过这样做，我们可以在商业、科学和公共政策中促进更好的结果，最终导致一个更加知情和负责任的社会。