extrinsic range

简明释义

杂质导电区

英英释义

例句

1.The therapist explained how the extrinsic range of behavioral responses can vary in different environments.

治疗师解释了行为反应的外在范围如何在不同环境中变化。

2.The study aimed to analyze the effects of various factors on the extrinsic range of motivation among students.

这项研究旨在分析各种因素对学生动机的外在范围的影响。

3.In economics, the extrinsic range of a product's value can fluctuate based on market demand.

在经济学中，产品价值的外在范围可以根据市场需求波动。

4.The extrinsic range of an athlete's performance can be affected by external conditions such as weather and crowd support.

运动员表现的外在范围可能受到天气和观众支持等外部条件的影响。

5.Understanding the extrinsic range of influences on health can help in developing better public health strategies.

理解对健康的外在范围影响可以帮助制定更好的公共卫生策略。

作文

In the realm of mathematics and statistics, the concept of range is fundamental. It refers to the difference between the highest and lowest values in a set of data. However, when we delve deeper into the analysis of data sets, we encounter more nuanced terms that help us understand the characteristics of the data better. One such term is extrinsic range, which plays a significant role in various fields, including economics, psychology, and environmental studies. Understanding this term can enhance our ability to interpret data effectively and make informed decisions based on that data.The extrinsic range can be defined as the variation in data that is influenced by external factors or conditions. Unlike intrinsic properties, which are inherent to the data itself, extrinsic factors can significantly alter the outcomes and interpretations of the data. For instance, consider a study examining the performance of students in mathematics. The intrinsic range might reflect the differences in scores among students based solely on their mathematical abilities. However, the extrinsic range would take into account external influences such as socioeconomic status, access to educational resources, and even parental support.This distinction is crucial because it reminds researchers and analysts that data does not exist in a vacuum. External variables can skew results and lead to misleading conclusions if not properly accounted for. For example, in economic studies, the extrinsic range could include factors like market fluctuations, government policies, and global events that impact consumer behavior. By acknowledging these factors, economists can develop more robust models that predict market trends with greater accuracy.Moreover, the concept of extrinsic range also extends to psychological research. When studying human behavior, researchers must consider how external stimuli—such as cultural norms, peer pressure, and environmental cues—affect individual responses. The extrinsic range in this context helps psychologists understand the broader context within which behaviors occur, leading to more effective interventions and support strategies.In environmental studies, the extrinsic range can refer to the impact of climate change, pollution, and human activity on natural ecosystems. For instance, while measuring biodiversity in a particular area, scientists must consider how external factors like habitat destruction or climate variability influence species populations. This understanding allows for more accurate assessments of ecosystem health and informs conservation efforts.In conclusion, the term extrinsic range encompasses the variations in data that arise from external influences. Recognizing the importance of these extrinsic factors is essential for anyone engaged in data analysis, whether in academia, business, or policy-making. By considering the extrinsic range, we can achieve a more comprehensive understanding of the phenomena we study and make decisions that are better informed and more reflective of the complexities of the real world. As we continue to navigate an increasingly data-driven society, embracing the nuances of terms like extrinsic range will undoubtedly enhance our analytical capabilities and lead to more effective solutions to the challenges we face.

在数学和统计学领域，范围的概念是基础的。它指的是数据集中最高值和最低值之间的差异。然而，当我们深入分析数据集时，会遇到更微妙的术语，这些术语帮助我们更好地理解数据的特征。其中一个术语是外在范围，它在经济学、心理学和环境研究等多个领域中发挥着重要作用。理解这个术语可以增强我们有效解读数据的能力，并基于数据做出明智的决策。外在范围可以定义为受外部因素或条件影响的数据变化。与固有属性不同，固有属性是数据本身固有的，而外在因素可以显著改变结果和数据的解释。例如，考虑一项研究，考察学生在数学中的表现。固有范围可能仅反映学生在数学能力上的分数差异。然而，外在范围将考虑社会经济状态、教育资源的获取，甚至父母支持等外部影响。这一区别至关重要，因为它提醒研究人员和分析师，数据并不存在于真空中。如果不恰当地考虑外部变量，结果可能会扭曲并导致误导性的结论。例如，在经济研究中，外在范围可能包括市场波动、政府政策和全球事件等影响消费者行为的因素。通过承认这些因素，经济学家可以开发出更强大的模型，更准确地预测市场趋势。此外，外在范围的概念也延伸到心理学研究中。在研究人类行为时，研究人员必须考虑外部刺激（如文化规范、同伴压力和环境线索）如何影响个体反应。在这种背景下，外在范围帮助心理学家理解行为发生的更广泛背景，从而制定更有效的干预和支持策略。在环境研究中，外在范围可以指气候变化、污染和人类活动对自然生态系统的影响。例如，在测量特定区域的生物多样性时，科学家必须考虑栖息地破坏或气候变异等外部因素如何影响物种种群。这种理解使得对生态系统健康的评估更加准确，也为保护工作提供了信息。总之，术语外在范围涵盖了由于外部影响而产生的数据变化。认识到这些外在因素的重要性，对于任何从事数据分析的人来说都是必不可少的，无论是在学术界、商业还是政策制定中。通过考虑外在范围，我们可以实现对我们研究现象的更全面理解，并做出更具信息性的决策，更能反映现实世界的复杂性。随着我们继续在一个日益数据驱动的社会中前行，接受像外在范围这样的术语的细微差别无疑将增强我们的分析能力，并为我们面临的挑战提供更有效的解决方案。