hypothetical population

简明释义

假设总体

英英释义

例句

1.Using a hypothetical population 假设人口 in simulations helps scientists understand potential outcomes of environmental changes.

在模拟中使用假设人口 hypothetical population帮助科学家理解环境变化的潜在结果。

2.In a study on social behavior, researchers created a model of a hypothetical population 假设人口 to analyze how different factors could influence community interactions.

在一项关于社会行为的研究中，研究人员创建了一个假设人口 hypothetical population模型，以分析不同因素如何影响社区互动。

3.In the context of public health, a hypothetical population 假设人口 can be used to model the spread of diseases under various intervention scenarios.

在公共卫生的背景下，可以使用假设人口 hypothetical population来模拟在各种干预场景下疾病的传播。

4.The researchers discussed the implications of their findings based on a hypothetical population 假设人口 that varied in age and socioeconomic status.

研究人员讨论了他们的发现的影响，这些发现是基于一个在年龄和社会经济地位上有所不同的假设人口 hypothetical population。

5.The results of the survey were extrapolated from a hypothetical population 假设人口, which allowed for predictions about real-world trends.

调查结果是从一个假设人口 hypothetical population中推导出来的，这使得对现实世界趋势的预测成为可能。

作文

In the field of social sciences and statistics, the term hypothetical population refers to a theoretical group of individuals that researchers use to discuss and analyze various phenomena. This concept is crucial for understanding how different variables can affect a population's behavior or characteristics without needing to gather data from a real-world group. By constructing a hypothetical population, researchers can simplify complex issues and focus on specific factors that might influence outcomes. For instance, consider a study aiming to understand the impact of education on income levels. Instead of surveying every individual in a country, researchers can create a hypothetical population that represents different educational backgrounds and income brackets. This allows them to analyze trends and make predictions about how changes in education policies might affect overall income distribution. Moreover, the use of a hypothetical population enables researchers to employ statistical models to simulate various scenarios. For example, they might assume a population where 50% have a college degree and 50% do not. By manipulating these variables, researchers can explore how shifts in educational attainment could lead to changes in economic growth or social mobility. This approach provides valuable insights that can inform policymakers and stakeholders. Another important aspect of utilizing a hypothetical population is its role in hypothesis testing. Researchers often formulate hypotheses based on existing theories and then test these against their hypothetical population. If the results align with their predictions, it strengthens the validity of their theory; if not, it may prompt further investigation or the development of new theories. Furthermore, creating a hypothetical population can also aid in ethical research practices. In cases where gathering data from real populations could pose risks or ethical dilemmas, researchers can rely on theoretical models. For instance, in medical research, experimenting on a hypothetical population allows scientists to predict the effects of a new drug without endangering actual patients. However, it is essential to recognize the limitations of using a hypothetical population. While it provides a framework for analysis, the assumptions made during this process can sometimes lead to oversimplifications. The real world is complex, and human behavior is influenced by numerous unpredictable factors. Therefore, while findings derived from a hypothetical population can be useful, they should be interpreted with caution and supplemented with real-world data whenever possible. In conclusion, the concept of a hypothetical population is an invaluable tool in research across various disciplines. It allows scholars to explore theoretical scenarios, test hypotheses, and derive conclusions that can guide future studies and policy decisions. Nonetheless, researchers must remain mindful of the inherent limitations and strive to balance theoretical models with empirical evidence to achieve a comprehensive understanding of the issues at hand. By doing so, they can ensure that their findings are both relevant and applicable to real-world situations.

在社会科学和统计学领域，术语假设人口指的是研究人员用来讨论和分析各种现象的理论个体群体。这个概念对于理解不同变量如何影响一个人群的行为或特征至关重要，因为它不需要从现实世界的群体中收集数据。通过构建一个假设人口，研究人员可以简化复杂的问题，专注于可能影响结果的特定因素。例如，考虑一项旨在了解教育对收入水平影响的研究。研究人员可以创建一个代表不同教育背景和收入水平的假设人口，而不是调查一个国家中的每一个个体。这使他们能够分析趋势，并预测教育政策的变化可能如何影响整体收入分配。这种方法提供了有价值的见解，可以为政策制定者和利益相关者提供信息。此外，使用假设人口使研究人员能够利用统计模型模拟各种情景。例如，他们可能假设一个有50%拥有大学学位和50%没有大学学位的人口。通过操纵这些变量，研究人员可以探讨教育水平的变化如何导致经济增长或社会流动性的变化。这种方法提供了有价值的见解，可以为政策制定者和利益相关者提供信息。利用假设人口的另一个重要方面是其在假设检验中的作用。研究人员通常根据现有理论提出假设，然后将其与他们的假设人口进行测试。如果结果与他们的预测一致，这增强了其理论的有效性；如果不一致，这可能促使进一步的调查或新理论的发展。此外，创建一个假设人口也有助于伦理研究实践。在收集真实人群数据可能带来风险或伦理困境的情况下，研究人员可以依赖理论模型。例如，在医学研究中，在假设人口上进行实验使科学家能够预测新药的效果，而不会危及实际患者。然而，必须认识到使用假设人口的局限性。虽然它提供了分析的框架，但在此过程中做出的假设有时会导致过度简化。现实世界是复杂的，人类行为受到许多不可预测因素的影响。因此，尽管从假设人口中得出的发现可能有用，但应谨慎解释，并在可能的情况下补充真实世界的数据。总之，假设人口的概念是各个学科研究中的一项宝贵工具。它使学者能够探索理论情景、检验假设并得出结论，这些结论可以指导未来的研究和政策决策。然而，研究人员必须牢记固有的局限性，并努力平衡理论模型与实证证据，以实现对所面临问题的全面理解。通过这样做，他们可以确保他们的发现既相关又适用于现实世界的情况。