field statistics
简明释义
现场统计
英英释义
Field statistics refer to data collected from observations or measurements made in a natural setting, as opposed to controlled environments like laboratories. | 现场统计是指在自然环境中进行观察或测量所收集的数据,与实验室等受控环境相对。 |
例句
1.The research team collected field statistics to analyze the local wildlife population.
研究小组收集了田野统计数据以分析当地野生动物种群。
2.The survey provided valuable field statistics on soil conditions for farmers.
该调查为农民提供了有价值的田野统计数据关于土壤状况。
3.To improve crop yield, agronomists rely on field statistics gathered during the growing season.
为了提高作物产量,农学家依靠在生长季节收集的田野统计数据。
4.Using field statistics, the scientists were able to determine the health of the ecosystem.
利用田野统计数据,科学家能够确定生态系统的健康状况。
5.The government agency published a report based on field statistics from various regions.
政府机构发布了一份基于各地区田野统计数据的报告。
作文
In the realm of data analysis, the term field statistics refers to the collection and analysis of data that is gathered from real-world environments rather than controlled settings. This approach is particularly important in disciplines such as ecology, sociology, and market research, where understanding the nuances of human behavior or environmental conditions is crucial. By utilizing field statistics, researchers can gain insights that are often missed in laboratory conditions, providing a more comprehensive view of the phenomena being studied.For instance, consider an ecological study aimed at understanding the population dynamics of a certain species in its natural habitat. Researchers would deploy various methods to gather data, such as direct observation, tracking, and sampling. The data collected in this manner constitutes field statistics because it reflects the realities of the species' environment, including factors like food availability, predation, and habitat changes. Analyzing these statistics allows scientists to make informed predictions about the species’ future and devise conservation strategies that are grounded in real-world conditions.Similarly, in the field of sociology, field statistics play a pivotal role in understanding societal trends and behaviors. Sociologists may conduct surveys or interviews in diverse communities to collect qualitative and quantitative data. This data, when analyzed, reveals patterns related to social norms, economic status, education levels, and more. By focusing on field statistics, sociologists can ensure their findings are relevant and applicable to the populations they study, thereby enhancing the validity of their research.Moreover, businesses often rely on field statistics to inform their marketing strategies and product development. Market researchers might gather data through customer feedback, sales figures, and competitive analysis in real-world settings. This information helps companies understand consumer preferences and market trends, allowing them to make strategic decisions that align with actual customer needs. Without the insights provided by field statistics, businesses risk making uninformed choices based on assumptions rather than facts.The importance of field statistics cannot be overstated. It bridges the gap between theory and practice, enabling researchers and practitioners to apply their findings in ways that are meaningful and impactful. However, collecting field statistics also comes with challenges. Researchers must navigate issues such as sample size, data reliability, and external variables that can influence results. Therefore, it is essential for those working with field statistics to employ rigorous methodologies and maintain ethical standards throughout their research processes.In conclusion, field statistics are vital for understanding complex systems in the real world. Whether in ecology, sociology, or business, the ability to gather and analyze data from actual environments leads to richer insights and better decision-making. As we continue to explore various fields of study, the significance of field statistics will undoubtedly grow, highlighting the need for careful consideration and application of these techniques in research and practice.
在数据分析领域,术语field statistics指的是从真实世界环境中收集和分析的数据,而不是在控制环境下进行的。这种方法在生态学、社会学和市场研究等学科中尤为重要,因为理解人类行为或环境条件的细微差别至关重要。通过利用field statistics,研究人员可以获得实验室条件下常常被忽视的见解,从而提供对所研究现象更全面的视角。例如,考虑一项旨在了解某种物种在自然栖息地中种群动态的生态研究。研究人员将采用各种方法来收集数据,例如直接观察、跟踪和抽样。以这种方式收集的数据构成了field statistics,因为它反映了物种环境的现实,包括食物可用性、捕食和栖息地变化等因素。分析这些统计数据使科学家能够做出有关物种未来的明智预测,并制定基于现实条件的保护策略。同样,在社会学领域,field statistics在理解社会趋势和行为方面发挥着关键作用。社会学家可能会在不同社区中进行调查或访谈,以收集定性和定量数据。这些数据经过分析后揭示了与社会规范、经济状况、教育水平等相关的模式。通过关注field statistics,社会学家可以确保他们的研究结果与他们研究的人群相关,从而增强研究的有效性。此外,企业通常依靠field statistics来指导他们的营销策略和产品开发。市场研究人员可能通过客户反馈、销售数据和现实环境中的竞争分析来收集数据。这些信息帮助公司了解消费者偏好和市场趋势,使他们能够做出与实际客户需求相一致的战略决策。如果没有field statistics提供的见解,企业就有可能基于假设而非事实做出不明智的选择。field statistics的重要性不可低估。它弥合了理论与实践之间的鸿沟,使研究人员和从业者能够以有意义和有影响力的方式应用他们的发现。然而,收集field statistics也面临挑战。研究人员必须应对样本大小、数据可靠性和可能影响结果的外部变量等问题。因此,使用field statistics的人员必须在研究过程中采用严格的方法并保持伦理标准。总之,field statistics对于理解现实世界中的复杂系统至关重要。无论是在生态学、社会学还是商业中,能够从实际环境中收集和分析数据都能带来更丰富的见解和更好的决策。随着我们继续探索各个研究领域,field statistics的重要性无疑会增长,突显出在研究和实践中仔细考虑和应用这些技术的必要性。
相关单词