assumed datum

简明释义

1. 假设起算值; 2. 假设基准面;

英英释义

例句

1.To simplify calculations, we decided to work with an assumed datum for the experiment.

为了简化计算，我们决定在实验中使用一个假定数据。

2.In our analysis, we used the assumed datum to predict future sales trends.

在我们的分析中，我们使用了假定数据来预测未来的销售趋势。

3.The research paper was based on an assumed datum that may not reflect reality.

这篇研究论文基于一个可能不反映现实的假定数据。

4.We need to verify the assumed datum before proceeding with the project.

在继续进行项目之前，我们需要验证假定数据。

5.The model's accuracy relies heavily on the assumed datum provided by the team.

模型的准确性在很大程度上依赖于团队提供的假定数据。

作文

In the realm of scientific research and data analysis, the term assumed datum refers to a piece of information that is taken for granted or accepted as true without direct evidence. This concept is crucial in various fields, including statistics, engineering, and social sciences, where researchers often need to make certain assumptions to simplify complex problems. Understanding the implications of assumed datum is essential for drawing valid conclusions from data, as these assumptions can significantly influence the outcomes of any study.For instance, consider a researcher studying the effects of a new medication on blood pressure. The researcher may use an assumed datum regarding the average blood pressure of the population before the introduction of the medication. If the assumption is incorrect, the results of the study may be skewed, leading to false conclusions about the medication's efficacy. Therefore, it is vital for researchers to critically evaluate their assumed datum and ensure they are grounded in reliable evidence.Moreover, the use of assumed datum can also lead to potential biases in research. If a researcher holds onto an assumption without questioning its validity, they may inadvertently ignore data that contradicts their hypothesis. This phenomenon, known as confirmation bias, can severely undermine the integrity of the research. It highlights the importance of being open to alternative interpretations and challenging one's own assumed datum throughout the research process.In statistical modeling, assumed datum plays a pivotal role in determining the accuracy of predictions. For example, when creating a predictive model for housing prices, analysts might assume that certain factors, such as location and square footage, are the primary drivers of price. However, if other influential factors, such as economic conditions or interest rates, are not considered, the model's predictions may be flawed. Thus, recognizing and validating assumed datum is critical in developing robust models that can withstand scrutiny.Additionally, in social sciences, researchers often rely on assumed datum to understand human behavior. For example, a study examining the relationship between education level and income may assume that higher education leads to higher income. While this assumption may hold true in many cases, there are exceptions that must be acknowledged. Failing to recognize these nuances can result in oversimplified conclusions that do not accurately reflect reality.In conclusion, the concept of assumed datum is fundamental in research and data analysis across various disciplines. It serves as a double-edged sword, providing a necessary foundation for hypothesis testing while also posing risks of bias and misinterpretation. Researchers must approach their assumed datum with a critical eye, continuously questioning and validating their assumptions to ensure the reliability of their findings. By doing so, they can contribute to a more accurate understanding of the phenomena they study, ultimately advancing knowledge in their respective fields.

在科学研究和数据分析领域，术语assumed datum指的是一条被视为理所当然或在没有直接证据的情况下被接受为真实的信息。这个概念在统计学、工程学和社会科学等多个领域中至关重要，因为研究人员往往需要做出某些假设来简化复杂的问题。理解assumed datum的含义对于从数据中得出有效结论至关重要，因为这些假设可能会显著影响任何研究的结果。例如，考虑一位研究者正在研究新药对血压的影响。研究者可能会使用一个关于引入药物之前人群平均血压的assumed datum。如果这个假设不正确，研究的结果可能会偏差，从而导致对药物疗效的错误结论。因此，研究人员必须批判性地评估他们的assumed datum，确保其基于可靠的证据。此外，使用assumed datum还可能导致研究中的潜在偏见。如果研究人员坚持一个假设而不质疑其有效性，他们可能会无意中忽视与其假设相矛盾的数据。这种现象称为确认偏见，可能严重削弱研究的完整性。这突显了在研究过程中保持开放态度的重要性，挑战自己的assumed datum。在统计建模中，assumed datum在确定预测准确性方面发挥着关键作用。例如，在创建住房价格预测模型时，分析师可能假设某些因素，如位置和建筑面积，是价格的主要驱动因素。然而，如果其他影响因素，如经济条件或利率，没有被考虑在内，模型的预测可能会存在缺陷。因此，识别和验证assumed datum对于开发能够经受审查的稳健模型至关重要。此外，在社会科学中，研究人员通常依赖assumed datum来理解人类行为。例如，研究教育水平与收入之间关系的研究可能假设更高的教育水平会导致更高的收入。虽然这个假设在许多情况下可能是正确的，但也有例外需要被承认。不承认这些细微差别可能导致过于简单化的结论，无法准确反映现实。总之，assumed datum的概念在各个学科的研究和数据分析中是基础性的。它既提供了假设检验所需的基础，同时也带来了偏见和误解的风险。研究人员必须以批判的眼光看待他们的assumed datum，不断质疑和验证他们的假设，以确保研究结果的可靠性。通过这样做，他们可以为更准确地理解他们研究的现象做出贡献，最终推动各自领域的知识进步。