elementary analysis

简明释义

元素分析

英英释义

例句

1.In our chemistry lab, we performed an elementary analysis of the compound to determine its elemental composition.

在我们的化学实验室，我们进行了该化合物的初步分析以确定其元素组成。

2.The report included an elementary analysis of the data collected from the survey.

报告中包含了对调查收集数据的初步分析。

3.The teacher introduced the concept of elementary analysis to help students understand basic mathematical principles.

老师介绍了初步分析的概念，以帮助学生理解基本数学原理。

4.Understanding elementary analysis can significantly improve your problem-solving skills in mathematics.

理解初步分析可以显著提高你在数学中的问题解决能力。

5.Before diving into complex statistics, it's crucial to master elementary analysis techniques.

在深入复杂统计之前，掌握初步分析技术是至关重要的。

作文

In the realm of scientific research and data interpretation, the term elementary analysis refers to the fundamental examination of data or materials to derive basic insights. This process is crucial in various fields, including chemistry, biology, and social sciences, as it lays the groundwork for more complex analyses. Elementary analysis (初步分析) typically involves straightforward techniques that help researchers understand the primary characteristics of a subject before delving deeper into intricate details.For instance, in chemistry, an elementary analysis might involve determining the elemental composition of a compound through methods such as combustion analysis or mass spectrometry. These methods provide essential information about the percentages of different elements present in the sample, which can be foundational for further studies, such as understanding chemical reactions or synthesizing new compounds. Without this elementary analysis (初步分析), researchers would struggle to build upon their findings with confidence.In the social sciences, elementary analysis can take the form of basic statistical evaluations, such as calculating means, medians, or mode values from survey data. These calculations yield initial insights into the trends and patterns within the data set, allowing researchers to formulate hypotheses and design more comprehensive studies. The significance of elementary analysis (初步分析) in this context cannot be overstated; it provides a necessary foundation for understanding complex social phenomena and guiding policy decisions.Moreover, elementary analysis is not limited to scientific disciplines. In everyday life, we often engage in elementary analysis when making decisions based on simple observations. For example, when choosing a restaurant, one might look at customer reviews, menu options, and prices. This basic evaluation helps narrow down choices before considering more subjective factors like ambiance or personal recommendations. Thus, elementary analysis (初步分析) serves as a vital tool in both academic and practical contexts, enabling individuals to make informed decisions based on fundamental data.However, while elementary analysis is essential, it is important to recognize its limitations. Basic analyses can provide preliminary insights but may lack the depth needed to understand more complex relationships or phenomena. For instance, while an elementary analysis of survey data might reveal that a majority of respondents prefer a particular product, it does not explain why they feel that way or how their preferences might change over time. Therefore, researchers must complement elementary analysis (初步分析) with more advanced techniques, such as regression analysis or qualitative research, to gain a comprehensive understanding of their subjects.In conclusion, elementary analysis (初步分析) plays a critical role in various fields by providing foundational insights that guide further exploration and decision-making. Whether in scientific research or everyday choices, this basic form of analysis is indispensable for building knowledge and understanding. However, it is equally important to recognize its limitations and pursue more sophisticated methods to fully grasp the complexities of the subjects at hand. By doing so, we can ensure that our analyses are both robust and meaningful, leading to better outcomes in research and daily life.

在科学研究和数据解析的领域中，术语elementary analysis指的是对数据或材料进行基本检查以获取基本见解的过程。这个过程在化学、生物学和社会科学等多个领域至关重要，因为它为更复杂的分析奠定了基础。elementary analysis（初步分析）通常涉及简单的技术，帮助研究人员理解一个主题的主要特征，然后再深入复杂的细节。例如，在化学中，elementary analysis可能涉及通过燃烧分析或质谱法来确定化合物的元素组成。这些方法提供关于样本中不同元素百分比的重要信息，这对于进一步研究，如理解化学反应或合成新化合物，具有基础性作用。没有这种elementary analysis（初步分析），研究人员将难以自信地在其发现上建立。在社会科学中，elementary analysis可以表现为基本的统计评估，比如从调查数据中计算均值、中位数或众数。这些计算提供了数据集中的趋势和模式的初步见解，使研究人员能够形成假设并设计更全面的研究。在这种情况下，elementary analysis（初步分析）的重要性不容小觑；它为理解复杂的社会现象和指导政策决策提供了必要的基础。此外，elementary analysis并不仅限于科学学科。在日常生活中，我们在做决策时经常会进行elementary analysis，例如选择餐厅时，人们可能会查看顾客评价、菜单选项和价格。这种基本评估有助于在考虑更主观的因素（如氛围或个人推荐）之前缩小选择范围。因此，elementary analysis（初步分析）在学术和实践环境中都是一种重要工具，使个人能够基于基本数据做出明智的决策。然而，尽管elementary analysis至关重要，但必须认识到其局限性。基本分析可以提供初步见解，但可能缺乏理解更复杂关系或现象所需的深度。例如，虽然对调查数据的elementary analysis可能揭示大多数受访者更喜欢某种产品，但它并不能解释他们为何有这样的感觉或他们的偏好如何随时间变化。因此，研究人员必须将elementary analysis（初步分析）与更高级的技术相结合，例如回归分析或定性研究，以获得对其主题的全面理解。总之，elementary analysis（初步分析）在各个领域中扮演着关键角色，通过提供基础见解来指导进一步探索和决策。无论是在科学研究还是日常选择中，这种基本分析形式都是构建知识和理解的不可或缺的工具。然而，同样重要的是要认识到其局限性，并追求更复杂的方法，以充分掌握手头主题的复杂性。通过这样做，我们可以确保我们的分析既稳健又有意义，从而在研究和日常生活中取得更好的结果。