significant parameter

简明释义

主要参数

英英释义

例句

1.In software development, user feedback is a significant parameter 重要参数 for improving product features.

在软件开发中，用户反馈是改进产品功能的一个significant parameter 重要参数。

2.In the financial model, interest rates are a significant parameter 重要参数 that influences investment decisions.

在财务模型中，利率是一个significant parameter 重要参数，影响投资决策。

3.In our study on climate change, temperature is a significant parameter 重要参数 affecting species migration.

在我们关于气候变化的研究中，温度是一个significant parameter 重要参数，影响物种迁徙。

4.The researchers concluded that sample size is a significant parameter 重要参数 in ensuring the validity of their results.

研究人员得出结论，样本大小是确保结果有效性的一个significant parameter 重要参数。

5.When designing the experiment, we identified pH level as a significant parameter 重要参数 for plant growth.

在设计实验时，我们确定pH值是植物生长的一个significant parameter 重要参数。

作文

In the realm of scientific research and data analysis, the concept of a significant parameter plays a crucial role in determining the validity and reliability of findings. A significant parameter refers to a variable or factor that has a notable impact on the outcome of an experiment or study. Understanding which parameters are significant can help researchers focus their efforts on the most influential aspects of their work, ultimately leading to more accurate conclusions and advancements in knowledge.For instance, in a clinical trial assessing the effectiveness of a new medication, researchers might identify several significant parameters that could affect the results. These could include patient age, gender, pre-existing health conditions, and dosage levels. By analyzing how these parameters interact with the treatment outcomes, scientists can gain insights into which groups benefit most from the medication and under what circumstances.Moreover, identifying significant parameters is not limited to medical research. In environmental studies, factors such as temperature, humidity, and pollution levels may serve as significant parameters affecting the health of ecosystems. By recognizing these parameters, environmental scientists can devise strategies to mitigate negative impacts and promote sustainability.The importance of significant parameters extends beyond the confines of academia; it also has practical applications in business and industry. For example, a company looking to improve its marketing strategy may analyze various significant parameters such as customer demographics, purchasing behavior, and market trends. By understanding which factors significantly influence consumer decisions, businesses can tailor their approaches to better meet the needs of their target audience, thereby increasing sales and customer satisfaction.Additionally, the identification of significant parameters can enhance predictive modeling. In fields like economics and finance, analysts often rely on statistical models to forecast future trends. By isolating significant parameters that have historically affected economic indicators—such as interest rates, inflation, and employment rates—analysts can create more robust models that yield reliable predictions.However, it is essential to approach the identification of significant parameters with caution. The presence of confounding variables—factors that may obscure the true relationship between the parameters and the outcomes—can lead to erroneous conclusions. Therefore, researchers must employ rigorous statistical methods to ensure that the parameters they identify are indeed significant and not merely artifacts of chance.In conclusion, the concept of a significant parameter is fundamental to various fields of study and practical applications. By focusing on parameters that meaningfully influence outcomes, researchers, businesses, and policymakers can make informed decisions that drive progress and innovation. Whether in science, environmental management, or market analysis, recognizing and understanding significant parameters is key to unlocking new insights and achieving desired results.

在科学研究和数据分析领域，显著参数的概念在确定发现的有效性和可靠性方面发挥着至关重要的作用。显著参数指的是对实验或研究结果产生显著影响的变量或因素。了解哪些参数是显著的，可以帮助研究人员将精力集中在工作中最有影响力的方面，从而最终得出更准确的结论并推动知识的进步。例如，在评估新药物有效性的临床试验中，研究人员可能会识别出几个可能影响结果的显著参数。这些可能包括患者年龄、性别、既往健康状况和剂量水平。通过分析这些参数与治疗结果之间的相互作用，科学家可以深入了解哪些群体从药物中获益最多，以及在什么情况下获益。此外，识别显著参数不仅限于医学研究。在环境研究中，温度、湿度和污染水平等因素可能作为影响生态系统健康的显著参数。通过识别这些参数，环境科学家可以制定减轻负面影响和促进可持续发展的策略。显著参数的重要性超出了学术界的范围，它在商业和工业中也具有实际应用。例如，一家公司希望改善其营销策略，可能会分析各种显著参数，如客户人口统计、购买行为和市场趋势。通过了解哪些因素显著影响消费者决策，企业可以调整其方法，以更好地满足目标受众的需求，从而增加销售和客户满意度。此外，识别显著参数还可以增强预测建模。在经济学和金融等领域，分析师通常依赖统计模型来预测未来趋势。通过孤立历史上影响经济指标的显著参数，例如利率、通货膨胀和就业率，分析师可以创建更稳健的模型，从而产生可靠的预测。然而，必须谨慎对待显著参数的识别。混杂变量的存在——可能掩盖参数与结果之间真实关系的因素——可能导致错误的结论。因此，研究人员必须采用严格的统计方法，以确保他们识别的参数确实是显著的，而不仅仅是偶然的产物。总之，显著参数的概念对各个研究领域和实际应用至关重要。通过关注对结果有意义影响的参数，研究人员、企业和政策制定者可以做出推动进步和创新的明智决策。无论是在科学、环境管理还是市场分析中，识别和理解显著参数是解锁新见解和实现预期结果的关键。